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Remote Machine Learning Jobs in Oakland, CA (NOW HIRING)

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Remote Machine Learning information

See Oakland, CA salary details

$29.3K

$48.9K

$101.1K

How much do remote machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote machine learning in Oakland, CA is $48,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,300.00 and $52,800.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

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

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

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

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

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

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

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

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

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Oakland, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,906 per year, or $23.5 per hour.

Software Engineer - Machine Learning

Figma

San Francisco, CA • On-site, Remote

Full-time

Re-posted 21 days ago

Job description

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you're building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma.

You'll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you'll shape both foundational systems and user-facing capabilities.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:
  • Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features.
  • Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
  • Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.
  • Work with product engineers to define and deliver impactful AI features across Figma's platform.
  • Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment.
  • Explore new ideas at the edge of what's technically possible and help shape the long-term AI vision at Figma.
We'd love to hear from you If you have:
  • 5+ years of industry experience in software engineering, with 3+ years focused on applied machine learning or AI.
  • Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring.
  • Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost.
  • Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality.
  • Experience mentoring or leading others and contributing to a culture of technical excellence and innovation.
While not required, It's an added plus if you also have:
  • Familiarity with search relevance, ranking, NLP, or RAG systems.
  • Experience with AI infrastructure and MLOps, including observability, CI/CD, and automation for ML workflows.
  • Experience working on creative or design-focused ML applications.
  • Knowledge of additional languages such as C++ or Go is a plus, but not required.
  • A product mindset with the ability to tie technical work to user outcomes and business impact.
  • Strong collaboration and communication skills, especially when working across functions (engineering, product, research).
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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