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<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.
Why This Role Matters
As a Data Engineer, you’ll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions. You’ll work closely with product managers, data scientists, subject matter experts, engineers, and customer teams to build, scale, and refine production pipelines — ensuring data is accurate, observable, and actionable.
You’ll also play a critical role in onboarding new customers, integrating their raw data into our internal models. Your pipelines will directly power the company’s ML models, dashboards, and core product experiences. If you enjoy owning end-to-end workflows, shaping data standards, and driving impact in a fast-moving environment, this is your opportunity.
What You’ll Do
<ul>
<li>
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).
</li>
<li>
Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models.
</li>
<li>
Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance.
</li>
<li>
Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting.
</li>
<li>
Build resilient, idempotent transformation logic with data quality checks, validation layers, and observability.
</li>
<li>
Refactor and scale existing pipelines to meet growing data and business needs.
</li>
<li>
Tune Spark jobs and optimize distributed processing performance.
</li>
<li>
Implement schema enforcement and versioning aligned with internal data standards.
</li>
<li>
Collaborate deeply with Data Analysts, Data Scientists, Product Managers, Engineering, Platform, SMEs, and AMs to ensure pipelines meet evolving business needs.
</li>
<li>
Monitor pipeline health, participate in on-call rotations, and proactively debug and resolve production data flow issues.
</li>
<li>
Contribute to the evolution of our data platform — driving toward mature patterns in observability, testing, and automation.
</li>
<li>
Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs.
</li>
<li>
Help develop and champion internal best practices around pipeline development and data modeling.
</li>
</ul>
What You Bring
<ul>
<li>
4+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines.
</li>
<li>
Strong expertise in Python, Spark SQL, and Airflow.
</li>
<li>
Experience processing large-scale file-based datasets (CSV, Parquet, JSON, etc) in production environments.
</li>
<li>
Experience mapping and standardizing raw external data into canonical models.
</li>
<li>
Familiarity with AWS (or any cloud), including file storage and distributed compute concepts.
</li>
<li>
Experience onboarding new customers and integrating external customer data with non-standard formats.
</li>
<li>
Ability to work across teams, manage priorities, and own complex data workflows with minimal supervision.
</li>
<li>
Strong written and verbal communication skills — able to explain technical concepts to non-engineering partners.
</li>
<li>
Comfortable designing pipelines from scratch and improving existing pipelines.
</li>
<li>
Experience working with large-scale or messy datasets (healthcare, financial, logs, etc.).
</li>
<li>
Experience building or willingness to learn streaming pipelines using tools such as Kafka or SQS.
</li>
<li>
Bonus: Familiarity with healthcare data (837, 835, EHR, UB04, claims normalization).
</li>
</ul>
🌱 Why Join Us
<ul>
<li>
Real impact — your pipelines will directly support decision-making and claims payment outcomes from day one.
</li>
<li>
High visibility — partner with ML, Product, Analytics, Platform, Operations, and Customer teams on critical data initiatives.
</li>
<li>
Total ownership — you’ll drive the lifecycle of core datasets powering our platform.
</li>
</ul>
Customer-facing impact — you will directly contribute to successful customer onboarding and data integration. We're hiring across multiple levels for this role. Final level and title will be determined based on experience and performance during the interview process.
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 Engineer

<h3>Job Description</h3>
Job Description
Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. 
At Perplexity, evaluation is one of the hardest and most critical parts of building state-of-the-art AI. Each trained model and agentic workflow is matched by a rigorous effort to evaluate its performance in the real world, ensuring dependable and measurable impact.
We're building a dedicated team to design the frameworks, interfaces, and systems that will become the backbone of how Perplexity measures and improves AI quality. This team creates tools that directly multiply the productivity of our researchers and ML engineers. You'll work hand-in-hand cross-functionally with AI researchers, ML engineers, and product managers to understand their workflows and deliver solutions that power every stage of our AI development pipeline.
Tech Stack: NextJS | TypeScript | Python | Postgres | Docker | AWS
Responsibilities
<ul>
<li>Building new 0-1 full-stack platform for debugging and evaluating LLM outputs.</li>
<li>Design intuitive front-end interfaces and robust back-end systems for monitoring the performance of AI product and AI systems.</li>
<li>Collaborate with researchers and engineers to understand their needs and deliver effective full-stack solutions.</li>
<li>Continuously improve existing tools and develop new features to meet evolving requirements.</li>
<li>Work closely with Engineers, Product, Design, and Data to ensure deep insights into Perplexity's performance.</li>
</ul>
Qualifications
<ul>
<li>Strong experience in full-stack software development, with the ability to work across the full-stack necessary to build scientific research platform or production tools.</li>
<li>Self-motivated with a willingness to take ownership of tasks</li>
<li>Good quantitative understanding of data and visualization</li>
<li>Strong communication skills and the ability to work collaboratively in a team environment.</li>
<li>3+ years of industry experience</li>
</ul>
Bonus
<ul>
<li>Bonus: Experience working with generative AI tools or LLMs.</li>
</ul>
The cash compensation range for this role is $200,000 - $270,000.
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

AI Software Engineer - Evaluation Platform

<h3>Job Description</h3>
Job Description
Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Snowflake Developer/Techno Functional for our client in the Consulting domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately.
Duration: 4+ Months Contract
Location: Burbank, CA (Onsite)
Salary: $65.00-$70.00/Hourly
Role: Snowflake Developer/Techno Functional
Primary Skills: Technical Implementation (Snowflake Data Migration), Data warehouse
Role Description: The Snowflake Developer/Techno Functional must have 5+ years of experience.
Responsibilities:
- Technical Specifications: Convert business requirements into technical specifications.
- Tools Proficiency: Hands-on experience with Snowflake
- Data Pipelines: Build and manage data pipelines and ETL processes.
- Requirement Gathering: Capture and analyze business requirements.
- Technical Specifications: Convert business requirements into technical specifications.
- Data Models and STTM: Develop data models and Source-to-Target Mapping (STTM) documents.
- Collaboration: Work closely with both business stakeholders and technical teams to ensure alignment.
- Documentation: Create detailed documentation to support the technical implementation.
Education: Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent
Experience: Minimum 5+ years of experience
Relocation: This position will not cover relocation expenses
Travel: No
Local Preferred: Yes
Note: Must be able to work on a W2 basis (No C2C)
Recruiter Name: Zulker Ali
Recruiter Phone: 412-286-1325
Benefits:
We have various coverages and additional benefits to choose from:
- Medical, Dental (Including Ortho) &amp; Vision Insurance (Option to Enroll).
- Paid Leaves (Wherever applicable).
- Life &amp; Disability Coverage (Upon eligibility).
- 401K Option, Education Assistance Program and more.
Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
#LI-ZA1
#Mastech1

Snowflake Developer/Techno Functional

<h3>Job Description</h3>
Job Description
About Us: We're a values-driven architecture and design studio focused on shaping environments that empower communities. With a rich legacy of educational, civic, and healthcare work, our team brings curiosity, integrity, and purpose to every project. As an employee-owned practice, we foster a collaborative culture where your voice matters and your impact is seen. Our designs are driven by empathy, grounded in research, and built to last.
About the Opportunity: This is a pivotal opportunity to lead award-winning DSA, K–12 education projects across California. You'll shape the future of public learning environments through DSA-compliant design, collaborating with educators and communities. Step into a senior architectural leadership position that offers uncapped potential, meaningful influence, and the backing of a highly respected design team. Hybrid flexibility and Sacramento-local presence are key.
What You'll Do:
<ul>
<li>Lead technical development and coordination of DSA, K-12 education projects from design through construction documentation.</li>
<li>Serve as technical authority on DSA standards, code interpretation, and agency approvals.</li>
<li>Supervise and mentor junior team members, manage consultants, and guide deliverables across all phases.</li>
<li>Ensure project compliance, design quality, and coordination with stakeholders and government agencies.</li>
<li>Collaborate with project managers and principals on planning, scheduling, budgeting, and team resourcing.</li>
<li>Engage in occasional marketing and client-facing presentations.</li>
</ul>
Qualifications / Must Haves:
<ul>
<li>Accredited degree in Architecture or related field.</li>
<li>Licensed Architect in California (REQUIRED).</li>
<li>7+ years of experience with demonstrated strength in public-sector or education projects.</li>
<li>Extensive knowledge of DSA processes, California building codes, and K–12 educational facilities.</li>
<li>Proficient in Revit; familiarity with production workflows and quality assurance protocols.</li>
<li>Strong communication and leadership skills.</li>
<li>Must be based in Sacramento or nearby and able to work in-office 3 days/week (Mon &amp; Fri remote).</li>
</ul>
Compensation &amp; Benefits:
<ul>
<li>Salary range: $110,000 – $140,000 (DOE)</li>
<li>Performance-based bonus opportunities.</li>
<li>Comprehensive health, dental, vision, and life insurance.</li>
<li>401(k) with employer matching.</li>
<li>ESOP - Employee-Owned Stock Program</li>
<li>Generous paid time off and holidays.</li>
<li>Paid licensure, continuing education, and professional growth programs.</li>
<li>Flexible hybrid schedule promoting work-life balance.</li>
</ul>
Apply now with your updated resume and work to be considered. 
Email your resume and portfolio/samples to <a href="mailto:ian.kerr@bancroftsp.com" target="_blank">ian.kerr@bancroftsp.com</a> for prompt and confidential review.

Project Architect/SR. PA - DSA, K-12

<h3>Job Description</h3>
Job DescriptionAbout Prima Mente
Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact.&nbsp;
Role focus - Biological Data Infrastructure at Petabyte Scale
Key Tasks:
<ul>
<li>
Owning and scaling our data infrastructure by several orders of magnitude to handle &gt; 100 petabyte-scale multi-omic datasets, including data pipelines, distributed data processing, and storage systems
</li>
<li>
Building a unified feature store for all our ML models and biological data analysis workflows
</li>
<li>
Efficiently storing and loading petabytes of data for ML bio data
</li>
<li>
Processing and storing predictions and evaluation metrics for large-scale biological forecasting and analysis models
</li>
<li>
Implementing data versioning and point-in-time correctness systems for evolving biological datasets
</li>
<li>
Building observable, debuggable data pipelines that handle the complexity of multi-omic data sources
</li>
</ul>
Expected Growth
In 1 month you will be responsible for:
<ul>
<li>
Analyzing current data infrastructure bottlenecks.
</li>
<li>
Implementing initial optimizations to existing pipelines.
</li>
<li>
Beginning work on scaling our feature store infrastructure for ML models.
</li>
</ul>
In 3 months you directly own and have created:
<ul>
<li>
Key components of our data processing systems.
</li>
<li>
Prototype streaming pipelines for real-time data ingestion.
</li>
<li>
Designs of our unified feature store architecture.
</li>
</ul>
In 6 months you have implemented:
<ul>
<li>
High-performance petabyte-scale data infrastructure.
</li>
<li>
Data versioning and point-in-time correctness systems.
</li>
<li>
Measurable improvements in data processing throughput and reliability.
</li>
</ul>
Why Join Us:
<ul>
<li>
Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.
</li>
<li>
Innovation &amp; Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions.
</li>
<li>
Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.
</li>
<li>
Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.
</li>
</ul>
Culture Insight&nbsp;
What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.
Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence.&nbsp;
We arrange our lives so we can work in person as much as possible.&nbsp;
Our Values&nbsp;
<ul>
<li>
Exceptional performance at exceptional pace
<ul>
<li>
The solutions we build demand uncompromising quality and rigour.
</li>
<li>
The problems we are solving are grave and present.
</li>
</ul>
</li>
<li>
Inquisitive discovery
<ul>
<li>
We embrace curiosity and creativity.
</li>
<li>
Every question is a path to a transformational breakthrough.
</li>
</ul>
</li>
<li>
Radical candour
<ul>
<li>
We practice unwavering honesty and transparency in all our challenges and interactions.
</li>
</ul>
</li>
<li>
Purposeful individuality
<ul>
<li>
Every individual in our team is celebrated for their identity, uniqueness, and experiences.
</li>
<li>
We are invested in each one’s bespoke personal development.
</li>
<li>
Nurturing individuality will supercharge our collective purpose and spirit.
</li>
</ul>
</li>
<li>
Patient impact at scale
<ul>
<li>
We have a steadfast commitment to improve the health and well-being of patients globally.
</li>
<li>
Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.
</li>
</ul>
</li>
</ul>
Who You Are
You want to redefine what’s possible at the frontier of AI and biology. You’re intellectually curious, ambitious, and passionate about applying AI to biology. You thrive in interdisciplinary teams, possess an entrepreneurial spirit, and embrace the uncertainty and excitement of pioneering research.&nbsp;
Ideal experience&nbsp;
<ul>
<li>
4+ years of experience building data infrastructure or data platforms with demonstrated ability to solve complex distributed systems problems independently
</li>
<li>
Experience building infrastructure for large-scale data processing pipelines (both batch and streaming) using tools like Spark, Kafka, Apache Flink, Apache Beam, and with proprietary solutions like Nebius
</li>
<li>
Experience designing and implementing large-scale data storage systems (feature stores, timeseries DBs) for ML use cases, with strong familiarity with relational databases, data warehouses, object storage, and expertise in DB schema design
</li>
<li>
Experience with ML infrastructure and have worked at companies that use ML for core business functions
</li>
<li>
Experience building data pipelines for external data sources that are observable, debuggable, and verifiably correct, having dealt with challenges like data versioning, point-in-time correctness, and evolving schemas
</li>
<li>
Strong distributed systems and infrastructure skills - comfortable scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal
</li>
<li>
Experience with cloud platforms (AWS, GCP, Azure) and container technologies
</li>
<li>
Strong software engineering skills with ability to write easy-to-extend and well-tested code
</li>
<li>
Excellent communication skills and experience collaborating within multidisciplinary teams
</li>
<li>
Comfortable with ambiguity and a fast-moving environment, with a bias for action
</li>
<li>
Learn and pick up new skills quickly
</li>
<li>
Familiarity with bioinformatics or biological data handling (this will be supported by our in-house bioinformatics team)
</li>
<li>
Knowledge of data governance, compliance, and security standards relevant to healthcare or biotech
</li>
</ul>
Interview Process&nbsp;
Our interview process is hard from the beginning, so please do come prepared to show us your strongest self. Marie is based in SF and Hannah in London - we are both available to support this process.
We promise to communicate clearly about our process, look for your strengths, be transparent in our feedback and listen to your feedback - we are always learning. 
The interview steps are listed below. 1-3 are done remotely over video call. Our preference for 4-7 is in person, but remote is possible too. At stage 4 more information will be shared about the following steps. 
<ol>
<li>
Screen with Marie or Hannah 
</li>
<li>
Meet Ravi
</li>
<li>
CV Deep Dive 
</li>
<li>
Analysis Challenge with Ravi
</li>
<li>
Systems Design &amp; Live Coding 
</li>
<li>
Presentation of your work to the wider team 
 
</li>
</ol>

Senior Data Engineer

<h3>Job Description</h3>
Job DescriptionAbout the Client
Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next-generation platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.
About the Role
The company is looking for a skilled Analytics Engineer to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for data scientists and AI teams.
Responsibilities
<ul>
<li>
Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.
</li>
<li>
Normalize and integrate various types of clinical data—including structured records, unstructured notes, imaging, and more—into a unified ontological model.
</li>
<li>
Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.
</li>
<li>
Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.
</li>
<li>
Apply CI/CD and version control best practices within analytics codebases.
</li>
<li>
Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.
</li>
</ul>
Requirements
Required:
<ul>
<li>
At least 3 years of experience in analytics or data engineering.
</li>
<li>
Strong proficiency with SQL and dbt.
</li>
<li>
Bachelor's degree in a technical or quantitative field.
</li>
<li>
Hands-on experience with cloud platforms (especially Snowflake and/or AWS).
</li>
<li>
Competency in Python for data wrangling and feature generation.
</li>
<li>
Familiarity with AI/ML workflows and deployment pipelines.
</li>
<li>
Commitment to clean, modular, and well-documented code using software engineering best practices.
</li>
<li>
Comfort working in a dynamic, fast-paced startup setting.
</li>
<li>
Clear communication skills and the ability to advocate for robust data practices.
</li>
<li>
Passion for advancing healthcare through trustworthy and scalable data infrastructure.
</li>
</ul>
Preferred:
<ul>
<li>
Experience with healthcare data standards such as HL7, FHIR, or DICOM.
</li>
<li>
Background in academic medical research.
</li>
<li>
Visualization experience using tools like Tableau, Power BI, Hex, or Python libraries.
</li>
<li>
Exposure to integrating LLM tools and frameworks (e.g., RAG, agent workflows) within analytics pipelines.
</li>
</ul>
Benefits &amp; Why Join
<ul>
<li>
Competitive compensation package: base salary in the $145K–$160K range plus equity.
</li>
<li>
Opportunity to work at the forefront of AI and healthcare innovation.
</li>
<li>
Collaborative and mission-driven team environment.
</li>
<li>
Flexibility to work remotely or from the company’s office in New York.
</li>
<li>
A chance to make a real-world impact by shaping the future of clinical AI and healthcare research.
</li>
</ul>

Analytics Engineer - Clinical Data

<h3>Job Description</h3>
Job DescriptionZyphra is an artificial intelligence company based in Palo Alto, California.The Role:
As a Machine Learning Data Engineer - Systems &amp; Retrieval, you will build and optimize the data infrastructure that fuels our machine learning systems. This includes designing high-performance pipelines for collecting, transforming, indexing, and serving massive, heterogeneous datasets from raw web-scale data to enterprise document corpora. You’ll play a central role in architecting retrieval systems for LLMs and enabling scalable training and inference with clean, accessible, and secure data. You’ll have an impact across both research and product teams by shaping the foundation upon which intelligent systems are trained, retrieved, and reasoned over.
You’ll work across:
<ul>
<li>
Design and implementation of distributed data ingestion and transformation pipelines
</li>
<li>
Building retrieval and indexing systems that support RAG and other LLM-based methods
</li>
<li>
Mining and organizing large unstructured datasets, both in research and production environments
</li>
<li>
Collaborating with ML engineers, systems engineers, and DevOps to scale pipelines and observability
</li>
<li>
Ensuring compliance and access control in data handling, with security and auditability in mind
</li>
</ul>
Requirements: 
<ul>
<li>
Strong software engineering background with fluency in Python
</li>
<li>
Experience designing, building, and maintaining data pipelines in production environments
</li>
<li>
Deep understanding of data structures, storage formats, and distributed data systems
</li>
<li>
Familiarity with indexing and retrieval techniques for large-scale document corpora
</li>
<li>
Understanding of database systems (SQL and NoSQL), their internals, and performance characteristics
</li>
<li>
Strong attention to security, access controls, and compliance best practices (e.g., GDPR, SOC2)
</li>
<li>
Excellent debugging, observability, and logging practices to support reliability at scale
</li>
<li>
Strong communication skills and experience collaborating across ML, infra, and product teams
</li>
</ul>
Bonus Skill Set:
<ul>
<li>
Experience building or maintaining LLM-integrated retrieval systems (e.g, RAG pipelines)
</li>
<li>
Academic or industry background in data mining, search, recommendation systems, or IR literature
</li>
<li>
Experience with large-scale ETL systems and tools like Apache Beam, Spark, or similar
</li>
<li>
Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone) and embedding-based retrieval
</li>
<li>
Understanding of data validation and quality assurance in machine learning workflows
</li>
<li>
Experience working on cross-functional infra and MLOps teams
</li>
<li>
Knowledge of how data infrastructure supports training pipelines, inference serving, and feedback loops
</li>
<li>
Comfort working across raw, unstructured data, structured databases, and model-ready formats
</li>
</ul>
Why Work at Zyphra:
<ul>
<li>
Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued
</li>
<li>
We strongly value new and crazy ideas and are very willing to bet big on new ideas
</li>
<li>
We move as quickly as we can; we aim to minimize the bar to impact as low as possible
</li>
<li>
We all enjoy what we do and love discussing AI
</li>
</ul>
Benefits and Perks:
<ul>
<li>
Comprehensive medical, dental, vision, and FSA plans
</li>
<li>
Competitive compensation and 401(k)
</li>
<li>
Relocation and immigration support on a case-by-case basis
</li>
<li>
On-site meals prepared by a dedicated culinary team; Thursday Happy Hours
</li>
<li>
In-person team in Palo Alto, CA, with a collaborative, high-energy environment
</li>
</ul>
 If you're excited by the challenge of high-scale, high-performance data engineering in the context of cutting-edge AI, you’ll thrive in this role. Apply Today!

Machine Learning Data Engineer - Systems & Retrieval

<h3>Job Description</h3>
Job Description
About CyberCube:
<ul>
<li>
The market leader in digital analytics 📊 with the mission of delivering the world’s leading cyber risk analytics &amp;#x1F310; on one of the most critical risks of today and the future.
</li>
<li>
Exceptionally well-funded startup &amp;#x1F4B0; that has raised over $100MM from top-tier investors.
</li>
<li>
Used by 75% of the top 40 US and European cyber insurance carriers &amp; surpassing 100 clients in 2023 with a &gt;99% retention rate.&nbsp;
</li>
<li>
CyberCube and its products consistently earn industry recognition 🏆, including awards like ForbesAmerica's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025.
</li>
<li>
Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers.
</li>
<li>
At CyberCube, we drive ownership for excellence ✅, empowering our team to take initiative, deliver results, and continually raise the bar.
</li>
<li>
Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)! 🎖️
</li>
<li>
Learn what it’s like to be part of CyberCube’s mission: Watch this leadership team interview!🎥
</li>
</ul>
We’re looking to hire a Lead Software Engineer in the Data Strategy and Collection team at CyberCube.
This is a core R&amp;D team at the company that takes on challenging problems and implements scalable systems for large-scale internet data collection. The Data team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings.
The title of this position will officially be Lead Data Specialist. Reporting directly to Mohammad Al Boni, our Head of Data, this role puts you at the forefront of data innovation. Lead a team of data specialists to strategize, research, design, develop, deploy, and test robust, streamlined, automated data collection systems supporting use-cases to the (re)insurance industry.
The Impact You Will Make:
<ul>
<li>
Own the strategy for the Data Collection function and develop and test ideas for new collection initiatives
</li>
<li>
Manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and post-contract account management.
</li>
<li>
Engage in cross-functional collaboration with stakeholders from engineering, product management, cyber risk modeling, actuarial science, economics, and client success to deliver on projects and product goals
</li>
<li>
Deliver on key objectives and quarterly development goals across 3+ products
</li>
</ul>
The Skills and Experience You Will Bring:
<ul>
<li>
5+ years of experience in building large-scale data collection systems
</li>
<li>
Deep understanding of the internet infrastructure and technologies such as DNS, CDN, ASN, ISP, and CSP
</li>
<li>
Highly proficient in SQL and Python, strong fundamentals in data structures, algorithms, and base Python paradigms, including object-oriented programming as well as functional programming concepts; Familiarity with modules commonly used for data collection, analysis, and machine learning such as Pandas, NumPy, Scikit-learn etc.
</li>
<li>
Experience with AWS technologies for computation, orchestration, and storage
</li>
<li>
Experience with designing, deploying, and maintaining microservice applications
</li>
<li>
Excellent oral and written communication skills
</li>
<li>
Experience working in and leading project teams
</li>
<li>
Ability to work in an agile, fast-paced startup environment
</li>
<li>
Ability to maintain relationships, collaborate effectively, and meet deadlines while working remotely
</li>
<li>
Ability to think creatively and implement a plan to address bugs and urgent product issues promptly
</li>
<li>
Aptitude for time-sensitive analysis and troubleshooting tasks
</li>
</ul>
Primary Responsibilities:
<ul>
<li>
Maintain, monitor, and apply design updates to existing data collection systems
</li>
<li>
Develop and continually update technical documentation
</li>
<li>
Perform code reviews and suggest opportunities for improvements
</li>
<li>
Deliver high-quality data analysis and present findings to cross-functional teams
</li>
<li>
Collaborate effectively with an organization that prides strong interdisciplinary teamwork among members
</li>
<li>
Execute with speed and rigor within an efficient and multi-faceted startup environment
</li>
</ul>
AI Fluency:
AI plays a critical role in how we scale data operations and drive product innovation across the company. This role contributes to a broader company-wide focus on expanding AI usage to improve efficiency, quality, and insight generation. You’ll be expected to apply AI tools to streamline processes and explore new ways to unlock value through automation and analysis. We look for candidates who show curiosity and strategic thinking in how they apply AI in their work, and we assess this as a key capability during hiring.
Why You'll Love it Here:
<ul>
<li>
Play an instrumental role in reshaping one of the oldest industries in the world
</li>
<li>
Competitive salary and unlimited PTO
</li>
<li>
Meaningful early-stage equity
</li>
<li>
Generous healthcare benefits with medical, dental and vision coverage
</li>
<li>
Monthly catered lunches and happy hours
</li>
<li>
Company-paid learning and development assistance
</li>
<li>
Flexible working hours and ability to work remotely
</li>
<li>
Opportunity to participate in a secondment program
</li>
<li>
Dependent care assistance plan
</li>
<li>
Company-supported mentorship program
</li>
<li>
Grow in a collaborative, respectful, and empathetic culture
</li>
</ul>
#LI-Remote #LI-Hybrid
Compensation Range: $160K - $176K

Lead Software Engineer - Data Collection

<h3>Job Description</h3>
Job Description
****Prominent and Elite Globally Recognized Leading Corporation in Technology****
Work for the top player in the Technology industry. The Enterprise Technology Data Engineering &amp; AI team building out new Landscape. You will play a critical role in shaping the future of our organizations Data and AI strategy. You must be driven, think out of the box, relentless and come up with solutions.
The Enterprise Technology Data Engineering &amp; AI team building out new Landscape. You will play a critical role in shaping the future of our organizations data and AI strategy. You must be driven, think out of the box, relentless and come up with solutions.
You will be designing and building the next-generation, cloud-native data and AI platform. Requires scalable batch, streaming, and GenAI-enabled pipelines that transform structured and unstructured data to different legs of the firm into trusted, self-service insights. Using modern data stacks and BI tools, required to delivery of predictive analytics, real-time dashboards, and machine-assisted decision-making while mentoring engineers and partnering with senior stakeholders.
Responsibilities
<ul>
<li>End-to-End Data Pipelines: Build resilient ELT/ETL workflows for diverse data typesincluding relational databases, event streams, PDFs, images, and logswith automated testing, lineage tracking, and governance baked in.</li>
<li>Stakeholder Collaboration: Translate business needs into intuitive data models. Gather requirements and promote best practices across on-shore and off-shore teams.</li>
<li>Unified Data &amp; AI Platform: Architect lakehouse-style platforms and data management stacks using technologies like Redshift, BigQuery, Airbyte, and Airflow.</li>
<li>Advanced Analytics &amp; Forecasting: Create predictive models and scenario planning tools that inform budgeting, investment strategy, Financial impact.</li>
<li>AI-Embedded Workflows: Integrate GenAI and LLMs into everyday data tasksautomated documentation, document intelligence, conversational querying, and prompt-driven quality checks.</li>
<li>Technical Leadership &amp; Governance: Define coding standards, review designs, and champion privacy, security, and cost-optimized architecture.</li>
<li>Real-Time &amp; Streaming Infrastructure: Design scalable batch and streaming pipelines to support event-driven insights using Kafka, Spark, or similar tools.</li>
</ul>
Qualifications
<ul>
<li>Strong command of CI/CD (GitHub), (Kubernetes/Helm), and infrastructure-as-code.</li>
<li>Hands-on experience building data platforms using Python, advanced SQL, Airflow, Airbyte, cloud data warehouses (Redshift, BigQuery), and real-time systems (Kafka, Pub/Sub, or Kinesis).</li>
<li>Proven use of GenAI/LLM tools for document processing, code generation, or conversational data access.</li>
<li>Bachelor's or Masters in Computer Science or equivalent experience.</li>
<li>Excellent comprehension and communication skills with the ability to connect technical solutions to business goals and lead cross-functional collaboration.</li>
<li>11+ years designing and operating scaleable data platforms that handle both structured and unstructured data.</li>
<li>Strong and deep experience in predictive modeling, optimization, time-series forecasting, financial scenario planning.</li>
<li>Must have Expertise of dimensional modeling, wide-table strategies, and performance tuning for analytics workloads.</li>
</ul>

Sr Data Engineer

<h3>Job Description</h3>
Job DescriptionSalary: 
STUDIOS Architecture is world-renowned for unique and creative design; for master planning, architecture and interior design projects that enhance innovation and enliven community for our clients.
 
STUDIOS Los Angeles office is seeking candidates interested in and passionate about:
<ul>
<li>Complex projects</li>
<li>Technology and sustainability integrated design</li>
<li>The power of design and the social role of architecture across a broad spectrum of project types including commercial office, media and entertainment, mixed-use, labs, academic and civic institutions.</li>
</ul>
We are seeking creative and talented designers who can contribute at various project scales and stages of project development.
 
Qualifications/Responsibilities:
 
<ul>
<li>Bachelors degree in Architecture or Interior Design.</li>
<li>Strong portfolio with professional projects demonstrating intelligent, innovative design conceptualization, professional caliber visualization and presentation graphics, as well as experience with construction documentation.</li>
<li>7-10 years of experience working in an architectural or interior design firm is required. Experience in highly complex project types, large commercial office, mixed-use, civic, academic, and/or cultural projects.</li>
<li>Strong communication skills and ability to collaborate internally with team and externally with clients, consultants, contractors, and vendors</li>
<li>Experience in all phases of Architectural services from Concept Design to Schematic Design through Construction Documentation and Construction Administration and advanced Project Management experience.</li>
<li>Proactive approach to design with excellent analytical, problem-solving, and presentation skills.</li>
<li>Design and documentation experience using Revit.</li>
<li>Software Experience with Revit, Rhino, AutoCAD, Grasshopper, and SketchUp.</li>
</ul>
 
The STUDIOS collaborative spirit leads to transformative design. Our process engages the full team in the design, based upon our belief that the best ideas can come from everywhere. In our LA studio, you will gain significant exposure and experience working on a variety of projects with our agile team. We enjoy a strong community of friends and colleagues who are passionate about creating world-class design. Mentorship, professional growth, and continual learning and improvement are emphasized in the fabric of who we are at STUDIOS. We offer competitive salary, excellent benefits, and support for IDP, ARE, LEED, and continuing education.
STUDIOS Architecture is fully committed to the concept and practice of equal opportunity and affirmative action in all aspects of employment.
Please submit resume, cover letter and work samples.

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