Machine Learning Engineer / AI Engineer

Job Description

Job DescriptionOur client

Our client is building AI infrastructure for the next era of learning, with a mission to make one-on-one, world-class tutoring accessible to every learner. Their products already reach hundreds of thousands of students worldwide, and they’ve recently closed a top-tier seed round to accelerate growth. The team blends deep technical expertise with a passion for impact, and they are expanding in Berkeley to push the boundaries of real-time, personalized AI learning experiences.

About the Role

They are hiring a Machine Learning / AI Engineer to design, prototype, and ship machine learning systems with a strong focus on large language model (LLM) workflows, real-world evaluation, and deployment readiness. This is a hands-on engineering role (not research-focused) where you’ll work closely with product, design, and engineering teams to bring powerful AI into real student experiences.

Location: On-site, Berkeley, CA
Experience Level: 0–2 years
Type: Full-time, in-office
Compensation: Top-of-market cash with meaningful equity (0.1–0.3%)

Responsibilities

• Build, scale, and own ML/AI systems.

• Design evaluation pipelines and apply them to iteratively improve performance.

• Collaborate cross-functionally to ship student-facing ML features.

• Drive high-quality, high-speed execution in a startup environment

Requirements

• 0–2 years of professional ML engineering experience, ideally in product-facing roles.

• Strong machine learning and software engineering skills.

• Proficiency with Python and frameworks such as FastAPI or Django, plus experience with Postgres.

• Hands-on experience with LLMs: orchestration, context management, evaluation, and fine-tuning.

• Familiarity with cloud platforms (AWS, GCP, or Azure).

• Passion for building impactful products.

Benefits & Why Join

• Competitive cash + equity package.

• Direct mentorship from senior AI engineers and researchers.

• Work that ships fast and impacts learners directly.

• Opportunity to join at an early stage and help shape both the product and the company.