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Machine Learning Assistant Jobs in California (NOW HIRING)

... role As a Machine Learning Engineer at Elicit, you'll build products and workflows that help ... Ability to use coding assistants effectively and thoughtfully, and has adapted their workflow to ...

Senior Machine Learning Engineer (LLM Evaluation & AI Agents) Location: Menlo Park, CA (Hybrid ... Familiarity with agentic AI systems, AI assistants, or autonomous agents * Research experience ...

We are building cutting-edge agentic AI that can proactively assist users, automate complex ... Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing ...

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

As a programmer, you know that machine learning is critical to understanding and processing massive ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Showing results 41-60

Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in California?

The most popular types of Machine Learning jobs in California are:

What are popular job titles related to Machine Learning Assistant jobs in California?

For Machine Learning Assistant jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in California look for?

The top searched job categories for Machine Learning Assistant jobs in California are:

What cities in California are hiring for Machine Learning Assistant jobs?

Cities in California with the most Machine Learning Assistant job openings:

Infographic showing various Machine Learning Assistant job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer, Video Engineering

Apple Inc.

Sunnyvale, CA • On-site

$184.70 - $324.80/hr

Other

Medical, Dental, Retirement

Re-posted 28 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Sunnyvale, California, United States Machine Learning and AI

Help define the next generation of photo and video experiences at Apple. The Video Engineering group develops key image and video technologies that contribute to experiences across many Apple products and services. As a Machine Learning Engineer, you'll be developing breakthrough ML models that power spatial media features, including 3D photos, immersive video, and scene reconstruction, reaching hundreds of millions of users. As a member of a fast-paced team, you will have the unique and exciting opportunity to shape upcoming products at the frontier of generative AI, computer vision, and 3D understanding, with a strong emphasis on taking ideas from research to production.

Description

This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of 3D computer vision and computer graphics. Your primary focus will be applying cutting‑edge machine learning techniques to complex 3D visual challenges to create customer impact across current and future Apple products.

Responsibilities
  • Work both independently and collaboratively with team members to research and develop state‑of‑the‑art ML models for 3D content creation, spatial video processing, and scene understanding, presenting and demonstrating your work to cross‑functional teams and leadership alike.
  • Design and train large‑scale generative models on Apple's ML infrastructure, run rigorous experiments to improve quality, and optimize models for on‑device deployment. Examples of past team work include Spatial Scenes, immersive 3D experiences generated from photos and videos using ML‑powered depth and view synthesis.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
  • 10+ years of experience developing and shipping machine learning models, with a focus on computer vision or generative AI.
  • Expert‑level proficiency in Python and PyTorch or equivalent ML frameworks.
  • Strong experience with diffusion models for image synthesis, video generation, 3D generation, or related domains.
  • Solid understanding of 3D computer vision including depth estimation, multi‑view geometry, 3D reconstruction, novel view synthesis, or neural scene representations.
  • Working knowledge of 3D computer graphics concepts such as rendering, camera models, scene representations, and coordinate systems.
  • Working knowledge of C++ for performance‑critical components.
  • Ability to leverage AI coding assistants and LLM‑based tools to accelerate development, prototyping, and problem‑solving workflows.
Preferred Qualifications
  • MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field.
  • Publications in top‑tier ML or vision venues.
  • Experience with video diffusion models, 3D Gaussian Splatting, neural radiance fields, or differentiable rendering.
  • Experience with distributed training at scale.
  • Familiarity with on‑device ML deployment.
  • Track record of shipping ML‑powered features in consumer products.
  • Good written and oral interpersonal skills.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976