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Machine Learning Assistant Jobs in California (NOW HIRING)

Apple

Senior Machine Learning Engineer

Cupertino, CA

$181K - $318K/yr

Senior Machine Learning Engineer Imagine what you could do here! The people here at Apple don't ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Eightfold.ai

Machine Learning Engineer

Santa Clara, CA · On-site

$123K/yr

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 ...

Hive

Staff Machine Learning Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Kiddom

Machine Learning Researcher

San Francisco, CA · On-site

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what ... Your work will assist teachers by personalizing their teaching experience and improving student ...

Kiddom

Machine Learning Researcher

San Francisco, CA · On-site

$175K - $250K/yr

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what ... Your work will assist teachers by personalizing their teaching experience and improving student ...

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Machine Learning Assistant information

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.

Is ML a high paying job?

Machine Learning Assistant roles are generally well-paying compared to many entry-level positions, with salaries often reflecting the specialized skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. Compensation varies based on experience, location, and industry, but the field is known for competitive salaries and growth opportunities.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior machine learning engineers, or research directors, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These positions are usually found in large tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.

Which 3 jobs will survive AI?

For a Machine Learning Assistant, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and domain-specific consultants. These jobs involve nuanced judgment, ethical considerations, and contextual understanding that AI tools currently cannot fully replicate.

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 jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior software engineers, data scientists, or freelance consultants with in-demand skills. These positions typically require extensive experience, advanced certifications, or freelance work with high hourly rates, and may involve project-based or contract work in industries like technology, finance, or consulting.

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

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 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:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in California as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Anywhere Real Estate

Santa Clara, CA • On-site

$123K/yr

Full-time

Medical, Dental, Vision

Posted 18 days ago

Anywhere Real Estate rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

49th of 154 rated real estate companies

Job description

About Eightfold
Eightfold is a global leader in AI-native enterprise talent platform, trusted by the world's largest & most respected fortune 500 organizations. Our platform is built from the ground up operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. At Eightfold, we are defining the next era of agentic systems.
What sets Eightfold apart is not just the technology & our mission, but the team behind it. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our engineers, product leaders, and go-to-market teams work closely together - in person and across functions - to build systems that scale in the real world. If you're excited to work on hard problems, move with urgency, raise the bar every day, and help build agentic systems that transform how the world works, Eightfold is the place to do it.
About the Team:
The AI Agents team at Eightfold.ai is at the forefront of developing intelligent, autonomous systems that will redefine talent management. We are building cutting-edge agentic AI that can proactively assist users, automate complex workflows, and provide personalized insights. Our work directly impacts millions of users and shapes the future of how people connect with opportunities.
Responsibilities:
  • Research, design, development, and deployment of advanced AI agents and agentic systems.
  • Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities.
  • Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence.
  • Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale.
  • Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions.
  • Diagnose and troubleshoot issues in complex distributed environments and optimize system performance.
  • Contribute to the team's technical growth and knowledge sharing.
  • Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products.
  • Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences.
  • Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution.

Qualifications:
  • Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP).
  • Understanding of agent-based modeling, reinforcement learning, and autonomous systems.
  • Experience with large language models (LLMs) and their applications in Agentic AI.
  • Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch.
  • Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
  • Understanding of distributed system design patterns and microservices architecture.
  • Demonstrable Coding and Algorithms skills.
  • Excellent problem-solving and data analysis skills.
  • Strong communication and collaboration skills.
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.
  • Min 1-3+ years of relevant machine learning work experience.

Preferred Qualifications:
  • Research experience in agentic AI or related fields.
  • Experience building and deploying AI agents in real-world applications.

Pay Transparency
Please note this role is categorized as hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role is eligible for annual bonus and equity (Pre-IPO stock options). Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zones determined by location.
Zone A base annual salary range: $123,750 to 185,000 + discretionary annual 10% bonus + pre-IPO equity (stock options).
Hybrid Work
At Eightfold, we believe our best work happens when we collaborate closely, learn from one another, and build together. We follow a hybrid work model that combines flexibility with a strong emphasis on in-person collaboration to foster innovation, culture, and rapid execution.
RTO policy for employees based near our Santa Clara, CA office are expected to work from the office 3 days per week, as we believe regular in-person engagement is essential to how we build high-impact products and strong teams.
Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status.
Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.
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