field_job_occupational_field_parents_all

field_job_employment_type

job_organization_name

city

state

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers.
<ul>
<li>
Company Type: Publicly traded 
</li>
<li>
Product: AI-centric GPU cloud platform &amp; infrastructure for training AI models
</li>
<li>
Candidate Location: Remote anywhere in the US
</li>
</ul>
Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration.
The Opportunity
We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers.
What You'll Do
<ul>
<li>
Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
</li>
<li>
Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices
</li>
<li>
Collaborate with clients to understand their business requirements and develop solution architectures
</li>
<li>
Design and document Infrastructure as Code solutions, technical documentation, and how-tos
</li>
<li>
Help customers optimize pipeline performance and scalability
</li>
<li>
Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
</li>
<li>
Assist with marketing efforts during events such as hackathons, conferences, and webinars
</li>
</ul>
 What You Bring
<ul>
<li>
5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing
</li>
<li>
Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python
</li>
<li>
Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
</li>
<li>
Solid understanding of the cloud ML tools landscape from industry leaders
</li>
<li>
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
</li>
</ul>
Key Attributes for Success
<ul>
<li>
Self-starter who thrives in a fast-paced, evolving startup environment
</li>
<li>
Collaborative team player who can work effectively across different departments and cultures
</li>
<li>
Results-oriented with a strong sense of ownership and accountability
</li>
<li>
Innovative problem-solver who can identify new opportunities for growth
</li>
<li>
Continuous learner, eager to stay updated on the latest AI and cloud computing trends
</li>
<li>
High ethical standards and integrity, with a commitment to responsible AI development
</li>
<li>
Passionate about democratizing access to AI infrastructure
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)
</li>
<li>
Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families
</li>
<li>
401(k) plan with a 4% match program
</li>
<li>
Stock options plan
</li>
<li>
Flexible remote work environment
</li>
<li>
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&amp;A)
</li>
<li>
Level 2: Virtual interview with the Hiring Manager (Skills assessment)
</li>
<li>
Level 3: Interview with the C-level (Final round)
</li>
<li>
Reference and Background Checks: Conducted post-interviews
</li>
<li>
Offer: Extended to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

Cloud Solutions Architect (Infra & AI Cloud)

<h3>Job Description</h3>
Job Description
About Lark
At Lark Health, we’re leading the way into a new era of cardiometabolic care, leveraging advanced AI techniques–including deterministic and generative models–to provide scalable, affordable, and compassionate care. We help our healthcare partners manage over 30 million lives and prevent conditions like obesity, hypertension, type II diabetes, and behavioral health. Our platform delivers real-time personalized counseling and health monitoring for each patient. By providing compelling and actionable insights, we empower every user to live happier, healthier lives. Come join our team!
The Role As the Lead Data Analyst at Lark, you’ll collect, analyze, model and visualize our marketing data to generate reports and insights. Reporting directly to the Director of Data, you’ll design internal dashboards, enhance our marketing activities, and help the company grow. You’ll collaborate across the organization—Consumer marketing, Product, Finance, and more—to translate business requirements into powerful, scalable data solutions.
What You’ll Do
<ul>
<li>
Drive substantial gains in growth, conversion rates, customer engagement, and ROI by delivering sharp insights and recommendations
</li>
<li>
Partner with channel managers to measure the effectiveness of customer acquisition and engagement campaigns
</li>
<li>
Develop analysis, reports, and recommendations to deliver continuous improvement in performance and identify new opportunities
</li>
<li>
Serve as a key member of our testing and experiments activities, build a testing roadmap that spans our customer touch points, steer rigorous implementation, and analyze results
</li>
<li>
Propose, socialize, and implement data and systems improvements that enable improved cross-channel coordination, targeting, ROI measurement, segmentation, and personalization
</li>
<li>
Become a subject matter expert in our online enrollment flows, attribution, engagement, marketing automation, analytics platforms, and associated data
</li>
<li>
Develop innovative reporting and dashboards that make it easy to understand campaign performance at a glance, and be the owner of those metrics as they vary along key customer segments
</li>
<li>
Understand data requirements of various campaigns and systems, prepare, format, and verify data files, and ensure compliance with rigorous security and compliance standards
</li>
<li>
Partner with Data Engineering &amp; Data Science. Optimize and align data models in Snowflake, and explore ways to implement AI/ML features in future reporting initiatives
</li>
</ul>
What You’ll Need
<ul>
<li>
Expertise in SQL, Snowflake, Tableau, and dbt
</li>
<li>
Advanced, hands-on experience with major online marketing tools, such as automation marketing platforms (preferred - Braze), organic and paid media platforms, and testing tools
</li>
<li>
Strong Analytical Skills: Ability to translate open-ended business questions into defined problem statements and structured analyses
</li>
<li>
Effective collaboration: Skilled at simplifying technical details for diverse audiences and translating insights into strategic actions, forming strong partnerships with multiple cross-functional teams
</li>
<li>
Project Management: Demonstrated ability to juggle multiple priorities, set realistic timelines, and meet deadlines in a fast-paced environment
</li>
<li>
Data Architecture Know-How: Comfortable designing and maintaining presentation-layer data structures that feed internal and external reporting needs
</li>
<li>
Experience mentoring analysts, fostering a supportive, growth-oriented environment
</li>
<li>
5+ years of progressive experience in analytics or business intelligence
</li>
<li>
Bachelor’s degree in STEM or a related field, or relevant professional experience
</li>
</ul>
Working at Lark&nbsp;
Lark operates as a remote organization, requiring all employees to reside within the United States.&nbsp; The specific salary offered to a candidate will depend on various factors, including their location, job level, and verified job-related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for additional compensation, such as participation in a bonus program and stock awards, where applicable.
Lark is an Equal Opportunity and Affirmative Action Employer. We believe that diverse teams foster innovation and add to our mission-driven culture. We strongly encourage people from underrepresented groups to apply.
#LI-Remote
Compensation Range: $124.7K - $178.2K

Lead Data Analyst - Marketing

<h3>Job Description</h3>
Job Description
Assured is on a mission to modernize insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the foundation of the entire industry. It’s currently highly manual, involving phone calls, faxes, and gut instinct—costing tens of billions of dollars a year. We can do better.
At Assured, we provide large insurers with the software solutions they need to win in a modern, technology-driven world. From self-service claim filing software to backend fraud detection, we’re the engine that powers claims processing for some of the largest insurers in the world.
The challenges we face are deep and diverse—from creating digital experiences that provide comfort and clarity to claimants at their most stressed and vulnerable to orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments, life at Assured is dynamic, collaborative, and rewarding.
We are looking for a Senior Site Reliability Engineer to join our growing team. The ideal candidate will have worked in a start-up environment and wants to help us build efficient, reliable, secure, and scalable infrastructure and code. You will bring your expertise and understanding in deploying and automating the delivery of modern SaaS platforms at scale.
You will...
🌎 Provision infrastructure and tooling required to deliver the Assured platform, from scaling existing products to launching novel infrastructure to support entirely new products and initiatives
👩️‍&amp;#x1F4BB; Create automated tooling to configure and maintain our platform and services with an eye for consistency and repeatability
👷 Build sustainable methods for monitoring, managing, and scaling our platforms and services
&amp;#x1F6E0;️&nbsp;Evaluate, recommend, and implement strategies for complying with security regulations and industry best-practices
🤝 Lead, mentor, and learn from other engineers on our growing team
We should talk if…
🦸️‍♀️&nbsp;You have what it takes and the experience to get the job done
🛠&nbsp;You can build and scale high-quality products and codebases from early stages to maturity
🤖&nbsp;You are inclined to automate, but you can discern when automation isn’t the best solution and present alternatives
 ⛓️ You have experience designing, implementing, and maintaining highly available and scalable database solutions, ideally with PostgreSQL. 
🔓&nbsp;You have recent and relevant experience with compliance and security regulations and processes (SOC 2, HIPPA, ISO 27001)
🧑️‍🔬 A strong engineering background and history of designing systems
❌ Not required: Specific programming language background. We are relatively technology-background agnostic. We believe great engineers are great engineers, and that the technologies we use will continue to evolve with the team and challenges we face. In Assured’s codebase today, you’ll find: Node.js (Typescript), Python, Docker, PostgreSQL, GraphQL
In your first month at Assured, you may...
⚙️ Evaluate, recommend, and implement a best-in-class infrastructure-as-code approach to deploying and managing services at Assured
🔌 Develop automated monitoring and alerting across multiple applications, including selecting technical approaches, developing buy-in across the engineering organization, and training teams in implementing new practices
👾&nbsp;Proactively identify a new security requirement that diverges from current practices, identify gaps in our approach, and successfully remediate the gap
Benefits:
🤑 Competitive Compensation: Enjoy a competitive salary and equity package!
🏥 Comprehensive Health Care: Access to multiple medical plans with an HSA option and minimal out-of-pocket expenses. Certain plans covered 100%.
🦷 Dental Insurance: We protect those pearly whites
👀 Vision Insurance: Everyone can see clearly now at Assured
🌧 Life Insurance: It's on the house! Provided at no cost to you
🏄 Paid Time Off: Uncapped vacation days and paid holidays. Take that vacation!
👶 Family Leave: Maternity and paternity leave options
📈 Financial Wellness: 401(k) contribution with Assured contributing 3% of your income, even if you don't contribute
👪 Flexible Spending Accounts: Health and dependent care FSAs for pre-tax flexible spending
Our Commitment: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.
Compensation Range: $165K - $185K

Senior Site Reliability Engineer

<h3>Job Description</h3>
Job DescriptionAbout Us
Sahara AI is a decentralized AI blockchain platform that prioritizes sovereignty and provenance of AI, ensuring security, equity, and accessibility for all users. Backed by top investors in AI and crypto, including Binance Labs, Pantera Capital, Polychain Capital, Sequoia Capital, Samsung, Matrix Partners, and many more, Sahara AI continues to push the boundaries of decentralized AI. Today, Sahara AI is trusted by 35+ leading tech innovators and research institutions, such as Microsoft, Amazon, MIT, Motherson Group, and Snap.
Sahara Labs, the driving force behind Sahara AI, is an AI and blockchain infrastructure company led by USC Professor and AI veteran Sean Ren and former Binance Labs investment director Tyler Zhou. Sahara Labs envisions a future where AI is equitable, transparent, ethical, and accessible to all through AI asset sovereignty and open technology. Learn more at saharalabs.ai.
Our Vision
To create a future where AI is open, transparent, and accessible to all through democratizing access to AI resources and ensuring sovereignty of AI assets.
Our Values
<ul>
<li>
Impact First, No Excuses
</li>
<li>
Think Big, Act Fast, Every Day is Day 1
</li>
<li>
Speak Up, Build Better
</li>
<li>
Integrity Always, Zero Compromise
</li>
<li>
Own it, Raise the Bar
</li>
<li>
Resilience Wins the Race
</li>
</ul>
About the Role
We are looking for an AI Developer Relations professional who is passionate about AI, community-driven, and technically knowledgeable to be the bridge between our products and the AI developer community. As the AI Developer Relations expert at Sahara AI, you will be the voice of our products to the AI developer community. Your primary role will be to engage with AI model developers and app builders, ensuring they understand, adopt, and advocate for Sahara AI's platforms. You will be responsible for growing and nurturing our developer community through events, coding demos, online engagement, and direct feedback loops.
This role reports directly to the COO and will work closely with the marketing and product teams to deliver key insights from the developer community and ensure their needs are met. 
Preferred location is San Francisco Metro, CA
Responsibilities
<ul>
<li>
Evangelism &amp; Advocacy: Act as the primary technical evangelist for Sahara AI platforms. Attend and speak at AI and developer conferences, meetups, and events, both online and offline.
</li>
<li>
Developer Funnel Strategy: Oversee the entire developer journey by driving awareness with engaging content, guiding onboarding through workshops and personalized support, and boosting retention with rewards and advanced tools.&nbsp;
</li>
<li>
Content Creation: Create and maintain technical content such as blog posts, webinars, sample projects, and tutorials to educate and engage developers.
</li>
<li>
Community Building: Cultivate relationships with AI developers and communities. Be active in online forums, social media, Discord channels, and other developer spaces to answer questions and promote Sahara AI.
</li>
<li>
Technical Engagement: Engage developers with technical demos, sample code, and educational content that demonstrates the value of our platform.
</li>
<li>
Feedback Collection: Gather insights from the developer community and work with product teams to turn feedback into actionable improvements for our platforms.
</li>
<li>
Event Participation: Attend AI houses, developer events, and crypto houses to represent Sahara AI, establish a presence, and engage directly with potential users.
</li>
<li>
Partnership Building: Establish relationships with key influencers, thought leaders, and strategic partners within the AI community to drive platform adoption.
</li>
<li>
Metrics &amp; Reporting: Track and report on the growth and engagement of the developer community, using data to inform strategies and demonstrate success.
</li>
</ul>
Basic Qualifications
<ul>
<li>
5+ years of experience in software development, data science, or machine learning. You should be comfortable writing code and speaking "developer language"
</li>
<li>
Strong network and social presence (e.g. Twitter, YouTube, forums) within the AI community and connection with influencers
</li>
<li>
Hands-on experience in AI/ML, including a strong understanding of AI model training or AI application/agent development&nbsp;
</li>
<li>
Experience in Developer Relations (DevRel), or a similar role, with a proven ability to engage and grow technical communities
</li>
<li>
Experience organizing events and engaging developers online and offline
</li>
<li>
Excellent verbal and written communication skills, with the ability to explain complex technical topics to both technical and non-technical audiences
</li>
<li>
Ability to design initiatives, strategies, and events with a focus on community engagement and growth without constant supervision
</li>
</ul>
Preferred Qualifications
<ul>
<li>
Previous experience in an AI DevRel role or similar
</li>
<li>
Deep participation in major open-source AI project communities (e.g., LangChain, Ollama, SD-webUI, ComfyUI, or similar)
</li>
<li>
PhD or advanced degree in AI/ML, Data Science, or related fields
</li>
<li>
Familiarity with developer communities in Decentralized AI or related technologies
</li>
<li>
Connections to AI houses, crypto houses, and technical hubs in the San Francisco area or globally
</li>
</ul>
What We Offer
🤖 | Shape the future of AI and Blockchain with a global team of industry experts
⚙️ | Work closely with pioneering AI companies and startups
&amp;#x1F4B0; | Competitive compensation
🏥 | Medical, Dental, and Vision benefits and vacation time
&amp;#x1F4BB; | Opportunity for career growth and high impact

AI DevRel Engineer

<h3>Job Description</h3>
Job Description
About Us:
At Parafin, we’re on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.&nbsp;
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools&nbsp; to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.&nbsp;
We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
The Data Science Team&nbsp;
Our Impact&nbsp;&nbsp;
Data is core to Parafin’s mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to create fair, automated, and broad access to financial services. As Parafin scales, the breadth and depth of our data grows with it, amplifying the impact we can have on customers and the trajectory of the business.&nbsp;
Our Team&nbsp;
Enthusiasm, skepticism, and respect for data are in our DNA – two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to detail, and craftsmanship.&nbsp;&nbsp;
Our Work Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. Our scope includes:&nbsp;&nbsp;
Go-To-Market: We collaborate with our sales leaders to convey the value of embedded finance to prospective partners. Example projects:
<ul>
<li>
Identifying the impact of financial access on platform GMV using quasi-random variation
</li>
<li>
Running simulations to assess the risk of offering financial products on specific platforms
</li>
</ul>
Portfolio Monitoring and Servicing: We develop tooling to maintain portfolio health, driving sustainable growth for Parafin, our capital markets partners, and the small businesses we serve. Example projects:
<ul>
<li>
Estimating survival curves to predict cohorted loss rates
</li>
<li>
Deploying LLM-based models to automatically identify bankruptcy from web data&nbsp;
</li>
</ul>
Product and Growth: We drive strategic decision-making and product design at the highest levels of the company. Example projects:
<ul>
<li>
Designing experiments to increase offer size for low-risk merchants
</li>
<li>
Building tools to instrument and diagnose user behavior in our application flow&nbsp;
</li>
</ul>
Underwriting: We build models and systems to decide which SMBs receive offers for each financial product and on what terms. Example projects:
<ul>
<li>
Training a quantile regression model to forecast the distribution of SMB revenues and precisely size our financing offers&nbsp;
</li>
<li>
Applying convex optimization to generate competitive financing offers&nbsp;
</li>
</ul>
Beyond these focus areas, our team helps expand our impact by recruiting exceptional talent, improving our tools, and supporting each other through regular seminars and project reviews.
About You&nbsp;
Your Impact&nbsp;
You will make an outsized impact on Parafin’s trajectory by leading projects from end to end. You will quickly learn new methods, apply them across diverse areas of the business, and implement them robustly. You will develop expertise in specific areas of the business, but may tackle projects across domains as our priorities evolve.&nbsp;
Your Background and Skills&nbsp;
Bachelor's Degree (or higher) inComputer Science, Statistics, Mathematics, Data Science (or related fields). We believe the most effective data scientists bring the following skills to their work:
<ul>
<li>
Statistical Reasoning&nbsp;
<ul>
<li>
Approach data analysis with a critical, intellectually honest eye&nbsp;&nbsp;&nbsp;
</li>
<li>
Design concise metrics that guide decision making&nbsp;
</li>
<li>
Use robust causal inference methods&nbsp;
</li>
<li>
Develop valid and predictive machine learning models
</li>
</ul>
</li>
<li>
Business Acumen&nbsp;
<ul>
<li>
Identify and effectively prioritize business problems
</li>
<li>
Solve business problems using appropriate data science techniques
</li>
<li>
Anticipate the impact of your work on our financial performance, customers, and compliance obligations&nbsp;&nbsp;
</li>
</ul>
</li>
<li>
Engineering Mindset&nbsp;
<ul>
<li>
Write legible, reliable, and tested code&nbsp;
</li>
<li>
Build or source tools to boost the team’s efficiency
</li>
<li>
Contribute to model and data infrastructure design
</li>
</ul>
</li>
<li>
Leadership and Collaboration&nbsp;
<ul>
<li>
Model Parafin’s values of efficiency, intellectual honesty, accountability, and empathy&nbsp;
</li>
<li>
Build trusted relationships with stakeholders&nbsp;
</li>
<li>
Document work, seek feedback, and share learnings proactively&nbsp;
</li>
</ul>
</li>
<li>
Focused Execution&nbsp;
<ul>
<li>
Prioritize high-impact use of your time&nbsp;
</li>
<li>
Scope projects rigorously&nbsp;&nbsp;
</li>
<li>
Act with urgency 
</li>
</ul>
</li>
</ul>
What We Offer
<ul>
<li>
Salary $175k-$220k + EQ Senior Level Salary $230-$290k + EQ
</li>
<li>
Equity grant
</li>
<li>
Medical, dental &amp; vision insurance
</li>
<li>
Unlimited PTO &amp; work from home flexibility
</li>
<li>
Commuter benefits
</li>
<li>
Free lunches
</li>
<li>
Paid parental leave
</li>
<li>
401(k)
</li>
<li>
Employee assistance program
</li>
</ul>
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Data Scientist

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
 About the Opportunity
Join our Data Engineering team as a Sr. Data Analyst and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes.
What You’ll Do
<ul>
<li>
Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
</li>
<li>
Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
</li>
<li>
Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
</li>
<li>
Document data transformation logic and lineage to ensure transparency and reusability.
</li>
<li>
Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
</li>
<li>
Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
</li>
<li>
Partner with data engineers to build and scale data pipelines, improving performance and reliability.
</li>
<li>
Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
</li>
<li>
Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
</li>
<li>
Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.
</li>
</ul>
What You’ll Bring
<ul>
<li>
Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.
</li>
<li>
3+ years of experience as a data analyst or business analyst working with large datasets.
</li>
<li>
2+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).
</li>
<li>
Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be bonus.
</li>
<li>
Solid understanding of data modeling concepts and best practices for analytics.
</li>
<li>
Proven problem-solving skills and attention to detail in complex data environments.
</li>
<li>
Strong organizational skills and ability to manage multiple concurrent initiatives.
</li>
<li>
Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
</li>
<li>
Self-starter with a strong sense of ownership and accountability.
</li>
</ul>
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Sr. Data Analyst

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
At Machinify, we're building state-of-the-art Visual Question Answering (VQA) systems for medical records using cutting-edge techniques in Natural Language Processing (NLP) and Computer Vision (CV). Our mission is to achieve human-expert level accuracy in medical document analysis — a highly challenging problem where traditional approaches, like vanilla Retrieval-Augmented Generation (RAG), fall short. While we've made significant strides, we're looking for an applied scientist to help us tackle the remaining core features and scale our models. What We're Looking For: An applied scientist with a passion for solving real-world problems and expertise in NLP and/or CV to push the boundaries of AI-driven healthcare solutions. Key Responsibilities: Solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies. Make data-driven decisions on algorithms and techniques tailored to specific business challenges. Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings. Continuously evaluate and optimize models for scalability and performance in production environments. * Learn the intricacies of the healthcare domain and evolve into an industry expert over time. About You: Expertise in NLP and/or Computer Vision: You stay up to date with the latest research and developments in these fast-evolving fields. Strong Software Engineering Skills: You write clean, production-quality code and are comfortable building scalable solutions.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

NLP Scientist

<h3>Job Description</h3>
Job Description
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
What You'll Do:
<ul>
<li>
Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions. You will work closely with data scientists on ensuring that state-of-the art AI systems, including LLM prompt engineering, RAG, agents, and other techniques can scale flexibly in Machinify services.
</li>
<li>
Build systems that enable high velocity and robust end-to-end data science experimentation cycles.
</li>
<li>
Drive projects aimed at significantly reducing manual audit review times and automating complex review types. Build upon our existing cutting-edge NLP and traditional ML approaches to achieve and exceed human-caliber interpretation of both claim data and medical records.
</li>
<li>
Deeply collaborate with Data Science, Data Engineering in order to deliver results through end-to-end solutions.&nbsp;
</li>
<li>
Explore and implement advanced AI approaches like AI agents to automate workflows and support increasingly complex use cases. 
</li>
</ul>
What You'll Bring:
<ul>
<li>
Expertise in machine learning and AI/ML, with a strong background in implementing state-of-the-art AI/ML solutions into production environments.&nbsp;
</li>
<li>
Strong Python or Java/Scala experience
</li>
<li>
Production experience with big-data technologies and systems for handling sophisticated agentic workflows.
</li>
<li>
Proven track record in reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review.
</li>
<li>
Strong collaboration skills to work effectively with data scientists and other engineers in a cross-functional team environment. Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams.
</li>
<li>
A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts.
</li>
</ul>
Technical Requirements:
<ul>
<li>
Bachelors of Science in CS or related field.&nbsp;
</li>
</ul>
<ul>
<li>
3+ years building and shipping production AI/ML solutions and co-working with Data Scientists
</li>
<li>
Experience with Python AND Java/Scala or similar languages.&nbsp;&nbsp;
</li>
<li>
Strong CS foundation (data structures, asynchronous programming)&nbsp;
</li>
<li>
Strong test writing discipline
</li>
<li>
Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements.
</li>
</ul>
 
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Software Engineer | GenAI, ML

<h3>Job Description</h3>
Job Description
👋 Hi there! Just graduated with a computer science/engineering degree and looking for your next challenge? If you're looking to make a real-world impact fast while leveling up your skills in a high-growth startup, we might be the right place for you!
🚗 Why join Jerry?
We’re Jerry, and we’re building the first AI-powered AllCar™ app to completely rethink what it means to own a car. Car insurance, maintenance, repairs, financing—we’re simplifying it all into one seamless mobile experience. Our users already save over $1,000/year with us, and we’ve grown revenue 60x in the last 5 years.
Now we’re scaling from 5M to 50M users, and we need sharp, curious engineers located in the SF area to help us get there.
&amp;#x1F31F; Here’s what you’ll get:
✅ Impact from Day One — you’ll be writing production code within your first few weeks.
✅ Backed and booming — we’ve raised $240M+ and are cash-flow positive.
✅ Modern tech stack — React, Node, Python, AWS, TypeScript, and more.
✅ Mentorship + learning — work with top engineers from companies like Nvidia, TikTok, and Cepton.
✅ Merit-based growth — no seniority theater here. You grow fast if you deliver and learn fast.
🫵 What you’ll be working on
You’ll join one of our engineering pods (core app, retention, automation) depending on your interests and skills. Every team ships regularly, works closely with product, and contributes to a mission that matters.
We don’t expect you to know everything on day one, but we do expect:
<ul>
<li>
A love for learning
</li>
<li>
Comfort with ambiguity
</li>
<li>
Hustle and curiosity
</li>
<li>
Pride in building high-quality, user-first software
</li>
</ul>
&amp;#x1F4BB; Our stack:
<ul>
<li>
Frontend: React, React Native
</li>
<li>
Backend: NodeJS + TypeScript
</li>
<li>
Infra: AWS, Go, Python, Docker, CI/CD
</li>
<li>
Data: Redis, Postgres, DynamoDB, Clickhouse
</li>
<li>
AI/ML: Python pipelines, LLM integrations, internal models
</li>
</ul>
You don’t need to know it all—but if some of that excites you, let’s talk.
🚀 What we’re looking for:
<ul>
<li>
Bachelor’s degree in Computer Science, Engineering, or a related field (or graduating soon)
</li>
<li>
Internship, co-op, or side project experience is a plus—but not required
</li>
<li>
Eagerness to learn, build, and grow
</li>
</ul>
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. 
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at <a href="mailto:recruiting@jerry.ai" target="_blank">recruiting@jerry.ai</a>
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. 
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai:
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.&nbsp;
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.&nbsp;
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Compensation Range: $70K - $110K

Software Engineer I (San Francisco)

<h3>Job Description</h3>
Job Description
Join us in a high-impact role where you’ll build the data foundation that powers next‑generation social media insights at Scrollmark. At Scrollmark, we’re building SocialGPT (<a href="https://www.gpt.social/" target="_blank">https://www.gpt.social/</a>), your copilot for social media management—empowering brands and creators to grow fanbases, nurture audiences, and drive revenue. We’ve raised $8M in seed funding from top‑tier investors including Mayfield, Jackson Square Ventures, Lemniscap, Shakti, and Aperiam. As an early‑stage startup, we’re looking for a data‑driven partner to help define our analytics infrastructure and unlock deep insights that drive product and business strategy. You’ll report directly to our CTO and collaborate across engineering, product, and design teams, but you’ll own end‑to‑end projects—from raw data ingestion to actionable dashboards—with minimal oversight. What You’ll Do
<ul>
<li>
Design &amp; Build Robust Pipelines: Architect and maintain ETL pipelines that scrape, normalize, aggregate, and store text, image, video, and audio data from multiple social platforms at scale.
</li>
<li>
Multimodal Modeling: Collaborate with engineers to integrate multimodal models that extract sentiment, object recognition, and audio cues—then translate those signals into clear trends.
</li>
<li>
Clean &amp; Enrich Data: Develop automated workflows and quality checks to detect and correct anomalies, handle missing data, and ensure dataset integrity.
</li>
<li>
Extract Insights &amp; Tell the Story: Use statistics, visualization tools, and dashboards to surface key performance indicators, emerging trends, and recommendations via SocialGPT.
</li>
<li>
Own the Analytics Roadmap: Partner with stakeholders to prioritize data initiatives, champion best practices, and help shape Scrollmark’s long‑term vision for analytics and AI.
</li>
</ul>
 What We’re Looking For 
<ul>
<li>
5+ Years of Data Expertise: Proven track record in data science or ML engineering, ideally with experience in social media or large unstructured datasets.
</li>
<li>
Strong Statistical Foundation: Comfortable with hypothesis testing, regression, time‑series analysis, and designing rigorous experiments.
</li>
<li>
Hands‑On Pipeline Skills: Deep experience with Python (Pandas, NumPy), SQL, and orchestration tools like Airflow or Prefect. You'll guide the roadmap for the tools we choose, and how we use them.
</li>
<li>
Multimodal Analysis: Familiarity with applying or integrating vision, text, and audio models—whether via Hugging Face, OpenAI, or custom architectures.
</li>
<li>
API &amp; Infrastructure Savvy: Experience working with social platform APIs (Facebook, Instagram, TikTok, Twitter, YouTube) and cloud data stores (GCS, BigQuery, Snowflake).
</li>
<li>
Hacker Mentality: You take ownership, thrive in ambiguity, and can shepherd complex data projects from concept to production in a fast‑paced startup.
</li>
<li>
Communication &amp; Storytelling: Ability to translate raw data into compelling narratives and recommendations for both technical and non‑technical audiences.
</li>
</ul>

11,905 Technology Jobs