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Remote Director Machine Learning Jobs in Sunnyvale, CA

Showing results 41-60

Remote Director Machine Learning information

See Sunnyvale, CA salary details

$42.3K

$107.9K

$165.5K

How much do remote director machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote director machine learning in Sunnyvale, CA is $107,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $124,400.00 per year, depending on experience, location, and employer.

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are the most commonly searched types of Remote Machine Learning jobs in Sunnyvale, CA?

The most popular types of Remote Machine Learning jobs in Sunnyvale, CA are:

What are popular job titles related to Remote Director Machine Learning jobs in Sunnyvale, CA?

For Remote Director Machine Learning jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Remote Director Machine Learning jobs in Sunnyvale, CA look for?

The top searched job categories for Remote Director Machine Learning jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Remote Director Machine Learning jobs?

Cities near Sunnyvale, CA with the most Remote Director Machine Learning job openings:

Infographic showing various Remote Director Machine Learning job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 23% Internship, 54% Full Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,897 per year, or $51.9 per hour.

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA • Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 26 days ago


Job description

Job Description

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

The VP of Research, Machine Learning (ML) will own the research and intelligence direction of this system. The VP of Research, Machine Learning (ML) will define how Artificial Intelligence (AI) reasons, evaluates, and improves in a product used with high frequency.  This position is 100% Remote.

VP of Research, Machine Learning (ML) Responsibilities:

- Set and evolve the research direction for the core intelligence, including context representation, memory, reasoning, planning, and orchestration.

- Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.

- Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior, not benchmark vanity.

- Own alignment, safety, and guardrail strategy as first-class product concerns.

- Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.

- Shape early product intelligence direction in close partnership with product and application engineering.

- Set the technical bar for research rigor, judgment, and taste across the organization.

Qualifications

VP of Research, Machine Learning (ML) Qualifications:

- Deep experience building or evolving real Machine Learning (ML) systems used in production.

- Artificial Intelligence (AI) experience required.

- Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.

- A builder’s mindset, you care about systems that work in the real world, not just ideas.

- Comfortable making irreversible or high-impact decisions with incomplete information.

- Obsession with evaluation, correctness, and how systems behave over time.

- High ownership mentality; you operate as a founder, not a manager.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, VP of Research, Machine Learning (ML), AI, Artificial Intelligence, GPU, JAX, ML, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a VP of Research, Machine Learning (ML) in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire VPs of Research, Machine Learning (ML) for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.nextstepsystems.com.