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

6sense

Sr. Machine Learning Engineer

San Francisco, CA · Remote

$200K - $260K/yr

The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI team, reporting ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Higgsfield

Machine Learning Engineer, Ads

San Francisco, CA · Remote

$165K - $230K/yr

About the role We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level. You'll work at the intersection of large-scale ...

EvenUp

Staff Machine Learning Engineer

San Francisco, CA · Remote

$212K - $301K/yr

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Benefits ...

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Showing results 21-40

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Berkeley, CA

Remote Machine Learning information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

How much do remote machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote machine learning in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 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 Berkeley, CA?

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

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

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

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

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

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

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

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $52,141 per year, or $25.1 per hour.

Sr. Machine Learning Engineer

San Francisco, CA • Remote

6sense
Software Development • 1 - 5K employees
Learn more about 6senseexternal

$200K - $260K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Own machine learning problems end to end, including data exploration, modeling, deployment, monitoring, and iteration in production.

  • Build NLP, LLM, and agentic systems at enterprise scale, including retrieval-based architectures and multi-agent workflows.

  • Partner with Product and Go-to-Market teams to turn ambiguous business problems into shipped AI capabilities.

Job description

About 6sense

6sense is Intelligence for Agentic GTM. We turn every signal - yours and ours - into intelligence that every team, tool, and AI agent can act on and trust. Every day, the 6sense Signalverse captures one trillion signals to power AI that pinpoints who's ready to buy, how to engage them, and when to act. 6sense was named a Leader in The Forrester Wave: Revenue Marketing Platforms for B2B, Q1 2026.

The Opportunity

We're hiring a Senior Machine Learning Engineer to join our AI team, reporting directly to the Head of AI.

Signals tell you what happened. Our job is to explain why - and that is the problem you will work on. You will build the intelligence that turns a trillion daily signals into cited, explainable answers about why an account matters, why now, and who is deciding. Your models power products customers use every day, including RevvyAI, our conversational GTM intelligence product, and reach their stack through our APIs and MCP server.

This is a build-and-ship role, not a research role. You will own problems end to end, work directly with Product and Go-to-Market, and see your work reach customers. You'll join a team distributed across the US and India, at a company where AI is the product rather than a feature.

What You'll Do
  • Own machine learning problems end to end - from data exploration and modeling through deployment, monitoring, and iteration in production.
  • Build NLP, LLM, and agentic systems at enterprise scale, including retrieval-based architectures and multi-agent workflows.
  • Develop ranking, recommendation, prediction, and optimization models that are explainable rather than black-box.
  • Partner with Product and Go-to-Market to turn ambiguous business problems into shipped capabilities.
  • Improve the performance, scalability, and reliability of production ML systems, and help shape AI platform architecture.
  • Explain your work clearly to technical and non-technical audiences, and engage with customers when needed.
  • Mentor engineers and raise the bar for engineering excellence.
What We're Looking ForRequired
  • 8+ years of industry experience building and deploying machine learning systems in production, with clear end-to-end ownership.
  • Strong foundation in machine learning and applied statistics, with hands-on depth in NLP, transformers, embeddings, and retrieval-based systems.
  • Practical experience with modern GenAI tooling such as LangGraph, LangChain, or Amazon Bedrock.
  • Strong Python skills and experience building distributed ML pipelines on cloud infrastructure (AWS, Databricks, or equivalent).
  • Solid grasp of feature engineering, model evaluation, and MLOps practices.
  • A product mindset - you want to build AI products customers use, and you measure yourself on customer impact.
  • Excellent communication: you can explain complex technical work clearly, tell the story of what you've built and why, and hold your own with product and business partners.
  • Comfort with ambiguity and the judgment to drive execution independently.
Nice to Have
  • Experience with RAG architectures, vector databases, and prompt engineering.
  • Hands-on work with PyTorch or TensorFlow.
  • Background in B2B SaaS, enterprise AI products, or forward-deployed engineering - especially where you worked directly with complex customer data and delivered quickly.

Base Salary Range: $200,349.50 - $260,912.60. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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