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Machine Learning Engineer / AI Engineer

Machine Learning Engineer / AI Engineer

Beacon TalentSan Francisco, CA, United States
7 days ago
Job type
  • Full-time
Job description

Our 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.
  • #J-18808-Ljbffr

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