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Machine Learning Teaching Assistant Jobs in California

We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Teaching Assistant

San Mateo, CA · On-site

$20 - $20.63/hr

Are you enthusiastic about supporting student learning and helping create an engaging, collaborative classroom environment? We have the perfect opportunity for you! The Teaching Assistant will:

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Teaching assistants will guide and encourage students to develop and fulfill their academic ... Editing textbooks and other learning materials. Qualifications * Bachelor's degree in Mathematics ...

Showing results 41-60

Machine Learning Teaching Assistant information

How does a machine learning teaching assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What is a machine learning teaching assistant?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

What are the key skills and qualifications needed to thrive as a machine learning teaching assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.
What are the most commonly searched types of Machine Learning Teaching jobs in California? The most popular types of Machine Learning Teaching jobs in California are:
What are popular job titles related to Machine Learning Teaching Assistant jobs in California? For Machine Learning Teaching Assistant jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching Assistant jobs in California look for? The top searched job categories for Machine Learning Teaching Assistant jobs in California are:
What cities in California are hiring for Machine Learning Teaching Assistant jobs? Cities in California with the most Machine Learning Teaching Assistant job openings:
Infographic showing various Machine Learning Teaching Assistant job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Menlo Ventures

San Mateo, CA • On-site

$195 - $350/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

About Eve

Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI‑Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong.

Product-market fit
  • Product-market fit: Eve is trusted by over 1000 law firms, and we’re growing fast.
  • Backed by top investors: We’ve raised over $160M from world‑class partners including Spark Capital, Andreessen Horowitz (A16z), Menlo Ventures, and Lightspeed.
  • Built by a world‑class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up.
  • AI‑Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best‑in‑class AI workflows tailored for legal work.
  • Explosive growth: We are growing 2X revenue Quarter over Quarter.
About the Role

AI at Eve isn't a feature — it's the foundation. We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high‑stakes legal work — from intake through resolution — we need engineers who can push our models and agent systems to be faster, smarter, and more reliable.

You’ll own the full stack of applied ML — from data curation to evaluation and production deployment — building systems that handle the kind of complex, high‑stakes reasoning that most AI products never have to touch. Working closely with product and legal experts, you’ll ship fast, drive projects end‑to‑end, and help shape both the platform and the future of legal AI.

What You'll Do

You’ll build and improve ML systems that operate in real‑world conditions, where reliability, accuracy, and domain nuance matter. At Eve, you will:

  • Build AI systems that understand, analyze, and reason across complex legal tasks and queries.
  • Elevate AI reasoning: Architect and refine the reasoning capabilities of our models to drive complex, high‑stakes decision‑making within the legal domain.
  • Treat model quality as a first‑class ML optimization problem, using real usage data to make our systems more reliable, adaptable, and resilient.
  • Build rigorous evaluation frameworks that measure AI performance and ensure meaningful, trustworthy outcomes in a high‑stakes legal context.
  • Collaborate cross‑functionally: work closely with product engineers to integrate models into user‑facing features, and partner with legal professionals to translate domain expertise into technical requirements.
What We're Looking For

You’re a product‑minded Machine Learning Engineer who enjoys building real systems people depend on. You’ll likely have:

  • 4+ years of engineering experience, with a focus on applied ML/AI products.
  • Proven track record of shipping ML systems in production, with real users and high uptime.
  • Experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable steps.
  • Strong analytical sense: you build frameworks to measure the metrics that matter and iterate quickly from real usage.
  • Ownership mindset: you drive projects end‑to‑end and thrive on problems that don’t have clean answers yet.
  • Enjoy following SOTA research into new models and agent architectures.

Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate.

US Base Salary Range: $195,000 — $350,000 USD

Benefits
  • Competitive Salary & Equity
  • 401(k) Program with Employer Matching
  • Health, Dental, Vision and Life Insurance
  • Short Term and Long Term Disability
  • Commuter Benefits*
  • Autonomous Work Environment
  • Workplace Setup Reimbursement
  • Telecomm Stipend
  • Flexible Time Off (FTO) + Holidays
  • Quarterly Team Gatherings
  • In office Perks*

* In office employees only

Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.

We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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