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Machine Learning Contract Remote Jobs in Santa Clara, CA

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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All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Santa Clara, CA

Machine Learning Contract Remote information

See Santa Clara, CA salary details

$29.9K

$50K

$103.4K

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

As of Aug 16, 2026, the average yearly pay for machine learning contract remote 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 are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

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

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

What are popular job titles related to Machine Learning Contract Remote jobs in Santa Clara, CA?

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

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

The top searched job categories for Machine Learning Contract Remote jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Machine Learning Contract Remote jobs?

Cities near Santa Clara, CA with the most Machine Learning Contract Remote job openings:

Machine Learning Contract Remote jobs near you

Machine Learning DevOps - Cloud and Compute Cluster - R&D Support

Pathway

Palo Alto, CA • Remote

$54 - $74/hr

Full-time

Posted 10 days ago

Job description

About Pathway

Pathway is shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans.

Pathway’s breakthrough architecture (BDH) outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. The company is trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.

Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Goeff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20.

The company is backed by leading investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California.

The opportunity

We are currently searching for a Machine Learning DevOps with experience in cloud and compute cluster management, scaling infrastructures, and Linux administration.

Our development, ML training, and production environment is in the cloud, using several major cloud providers. We need support in managing and automating the processes, and scaling the infrastructure to growing team and production needs.

You Will
  • Optimize infrastructure for ML training and inference (e.g., GPUs, distributed compute).
  • Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).
  • Manage model versioning, reproducibility, and traceability.
  • Work with terabyte-large datasets.
  • Implement ML-centric CI/CD practices.
  • Monitor model performance and data drift in production.
  • Collaborate with machine learning engineers, software engineers, and platform teams.

The role focuses on operationalizing machine learning models, ensuring scalability, reliability, and automation across the ML lifecycle.

Requirements

What We Are Looking For
  • Very good familiarity with Linux, shell scripts, and cluster configuration scripts as the basic work tool.
  • Proficiency in workload management, containerization and orchestration (Slurm, Docker, Kubernetes).
  • Solid grasp of CI/CD tools and workflows (GitHub Actions, Jenkins, Gitlab CI, etc.).
  • Cloud infrastructure knowledge (AWS, GCP, Azure) – especially in ML services (e.g., SageMaker Hyperpod, Vertex AI).
  • Familiarity with monitoring/logging tools (Grafana, CloudWatch, Prometheus, Loki).
  • Experience with infrastructure as code (Terraform, CloudFormation, cluster-toolkit).
  • Experience with ML pipeline orchestration tools (e.g., MLflow, Kubeflow, Airflow, Metaflow).
  • Programming skills in Python (with exposure to ML libraries like TensorFlow, PyTorch).
  • Experience with cluster, systems, and networks administration.
  • Willingness to learn.

This position holds a minimum requirement of a BSc in Computer Science or Information Technology.

We will generally favor candidates who have undertaken ambitious efforts in the past. For example, if you have made an accepted contribution to the Linux kernel, won an important bug bounty, supported an academic grid/cluster computing team in a scaling effort, or even won a sports championship, make sure to mention this in your application!

Benefits

Why You Should Apply
  • Intellectually stimulating work environment. Be a pioneer: you get to work with realtime data processing & AI.
  • Work in one of the hottest AI startups, with exciting career prospects. Team members are distributed across the world.
  • Responsibilities and ability to make significant contribution to the company’ success
  • Inclusive workplace culture
Further details
  • Type of contract: Permanent employment contract
  • Preferable joining date: Immediate.
  • Compensation: based on profile and location.
  • Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, United States, and Canada will be considered.