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Remote Machine Learning Jobs in Santa Clara, 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 ...

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Remote Machine Learning information

See Santa Clara, CA salary details

$29.9K

$50K

$103.4K

How much do remote machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote machine learning in Santa Clara, CA is $50,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $54,000.00 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 Santa Clara, CA? The most popular types of Machine Learning jobs in Santa Clara, CA are:
What are popular job titles related to Remote Machine Learning jobs in Santa Clara, CA? For Remote Machine Learning jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Santa Clara, CA look for? The top searched job categories for Remote Machine Learning jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Machine Learning jobs? Cities near Santa Clara, CA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Santa Clara, CA as of August 2026, with employment types broken down into 15% Internship, 41% Full Time, and 44% Contract. Highlights an 100% Remote job distribution, with an average salary of $50,012 per year, or $24 per hour.

Machine Learning Engineer, AI Safety & Security - Supporting NVIDIA - Santa Clara (Hybrid)

Sustainable Talent

Santa Clara, CA • On-site, Remote

$90 - $130/hr

Other

PTO

This job post has expired today. Applications are no longer accepted.

Job description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a ML Engineer, LLM Safety & Security to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options. 

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models.  We value expertise in data science paired with a robust data engineering foundation.   This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion.  We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning.  We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you'll be doing:

  • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
  • Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
  • Define and track key metrics for responsible LLM behavior and usage.
  • Follow the best practices of automation, monitoring, scale, safety.
  • Contribute to our repositories and develop safety tools to help ML teams be more effective.
  • Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
  • Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
  • Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or related field or equivalent experience.
  • 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
  • Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
  • Deep understanding of machine learning algorithms, statistical models, and data structures.
  • Familiarity with software development practices and version control systems (e.g., Git).
  • Good at problem solving and analytical ability.
  • Excellent collaboration and communication skills.

Ways to stand out from the crowd:

  • Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
  • Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
  • Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs  (Vision Language Model) or any-to-text
  • Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
  • Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Apply