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

Landpoint

Remote Data Analyst

Fremont, CA · Remote

Knowledge of statistical methods and machine learning algorithms: A deep understanding of ... Remote data analysts must be able to clearly and concisely communicate their findings and ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve ... Applies data science, machine learning and other analytical modeling methods to develop defensible ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

TigerGraph

Software Engineer

Milpitas, CA · On-site +1

TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph ... This position is primarily remote, but location-based requirements may apply. If the selected ...

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

Remote Machine Learning information

See Milpitas, CA salary details

$29.7K

$49.6K

$102.6K

How much do remote machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote machine learning in Milpitas, CA is $49,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,900.00 and $53,600.00 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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs

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

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

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

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

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

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

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

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

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Milpitas, CA as of August 2026, with employment types broken down into 15% Internship, 42% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $49,626 per year, or $23.9 per hour.

Senior Machine Learning Engineer, Recommendation & AI Applications

NewsBreak

Mountain View, CA • On-site, Remote

$195K - $230K/yr

Full-time

Re-posted 2 days ago

Job description

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about

About the Role

We are looking for a Senior Machine Learning Engineer to help evolve our large-scale recommendation systems and apply AI / LLM technologies to real-world production problems. You will work on core feed, retrieval, and ranking systems serving tens of millions of users, while also participating in AI-driven innovation projects that explore new ways to improve content discovery, personalization, and developer productivity. This role is ideal for engineers who enjoy strong individual ownership, hands-on development, and translating ideas into reliable systems.

What You'll Work On

Large-Scale Recommendation Systems

  • Design, build, and iterate on high-throughput, low-latency recommendation systems powering NewsBreak's core feeds.
  • Improve retrieval, ranking, and multi-objective optimization to balance engagement, retention, content quality, and business metrics.
  • Own systems from offline training → online inference → A/B experimentation → metric analysis.
  • Identify and resolve issues related to data quality, model drift, and system performance in production.

AI & LLM Applications

  • Apply LLMs and foundation models to recommendation-related problems such as content understanding, user intent modeling, and feature generation.
  • Prototype quickly, validate with experiments, and push successful ideas into production.

AI-Driven Development

  • Embrace AI-assisted development workflows, including LLM-powered coding, debugging, and analysis.
  • Apply AI across feature ideation, prototyping, and experiment analysis.

0 → 1 Innovation

  • Contribute to 0–1 AI-powered projects, helping take ideas from early exploration to MVP and production.

What We're Looking For

Minimum Qualifications - 3+ years of industry experience building machine learning or recommendation systems in production. - Strong understanding of recommendation system fundamentals (ranking, embeddings, user/item modeling, experimentation). - Strong coding skills with Python / Java / Scala, and experience with PyTorch or TensorFlow. - Experience working with large-scale data and ML systems (e.g., Spark, distributed training, real-time inference). - Ability to own features end-to-end and deliver measurable business impact.

Bonus / Plus Qualifications - Production experience applying AI or LLMs to recommendation systems. - Experience contributing to 0 → 1 AI or ML-driven products. - Familiarity with AI-assisted development tools and workflows.

Benefits

We offer a competitive benefits package:

  • Health, dental, and vision care for you and your family (100% coverage for employee)
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • FSA, HSA and commuter benefits programs
  • Team activity budget
The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$195,000—$230,000 USD

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