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Machine Learning Manager Jobs in Fremont, CA (NOW HIRING)

Nutanix

Machine Learning Engineer

Santa Clara, CA · On-site

$123.75 - $185/hr

Collaborate with product managers, UX designers, and other engineers to define requirements and ... Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing ...

Cisco

Machine Learning Engineer

San Jose, CA

You will work on cutting-edge use cases including delivery intelligence, knowledge management ... Analyze data, develop, validate, and deploy machine learning models that drive measurable ...

Canals

Machine Learning Engineer

San Francisco, CA · Remote

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Meta

Product Manager, Machine Learning

Menlo Park, CA

$173K/yr

Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...

Spark Tek Inc

Machine Learning Engineer

San Jose, CA · On-site

Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low ... Monitoring and observability, Drift detection, Retraining pipelines, Model lifecycle management • ...

Adobe

Dir, Machine Learning Eng

San Jose, CA · On-site

... management (petabytes) and compute abstractions (Spark, Kubernetes, etc) • Drive the ... machine learning solutions with direct application in the data engineering space • Ability to ...

Sift

Machine Learning Engineer

San Francisco, CA · On-site

$160 - $230/hr

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large ... Work cross-functionally with Core Infrastructure, Product Management, and Data Science teams to ...

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Machine Learning Manager information

See Fremont, CA salary details

$55.8K

$89.4K

$129.2K

How much do machine learning manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning manager in Fremont, CA is $89,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $101,300.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Fremont, CA? The most popular types of Machine Learning jobs in Fremont, CA are:
What are popular job titles related to Machine Learning Manager jobs in Fremont, CA? For Machine Learning Manager jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Fremont, CA look for? The top searched job categories for Machine Learning Manager jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Machine Learning Manager jobs? Cities near Fremont, CA with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Fremont, CA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,444 per year, or $43 per hour.

Machine Learning Engineer

Nutanix

Santa Clara, CA • On-site

$123.75 - $185/hr

Other

Medical, Dental, Vision

Posted 5 days ago

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 to operate at scale across Azure and AWS, deployed in multiple regions globally, including IL4‑compliant environments for the 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. We are defining the next era of agentic systems in a deeply technical, execution‑driven organization that values ownership, collaboration, and high standards.

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.
  • Minimum 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

Base pay is only one component of the total compensation package and includes annual bonuses and equity. The role is categorized as hybrid in Santa Clara, CA. Zone A base annual salary range: $123,750 to $185,000, + discretionary annual 10% bonus + pre‑IPO equity (stock options).

Hybrid Work

We follow a hybrid work model with in‑person collaboration. Employees near the Santa Clara, CA office are expected to be in the office 3 days per week to support innovation and rapid execution.

Equal Employment Opportunity

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.

Benefits include comprehensive family medical, vision and dental coverage, competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.

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