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Remote Applied Scientist Machine Learning Jobs in California

LinkedIn

Applied Scientist

Mountain View, CA · On-site +1

$120K - $195K/yr

LinkedIn's Data Science and Applied Science teams use data, experimentation, causal inference, machine learning, and AI to solve important product and business problems. With more than 1 billion ...

LinkedIn

Senior Applied Scientist

Mountain View, CA · On-site +1

$144K - $236K/yr

LinkedIn's Data Science and Applied Science teams use data, experimentation, causal inference, machine learning, and AI to solve important product and business problems. With more than 1 billion ...

Figma

AI Applied Scientist

San Francisco, CA · On-site +1

We're looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and ...

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$212K - $339K/yr

PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field * Experience with ...

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Remote Applied Scientist Machine Learning information

What does a remote applied scientist machine learning do?

A Remote Applied Scientist in Machine Learning develops and implements machine learning models to solve real-world problems, often from a location outside of a traditional office. Their work involves analyzing large datasets, designing algorithms, and collaborating with teams to deploy scalable solutions. They may also conduct experiments to improve model performance and stay up to date with the latest research in the field. Communication and documentation are important, as they often work with cross-functional teams remotely.

What are the key skills and qualifications needed to thrive as a remote applied scientist machine learning?

To thrive as a Remote Applied Scientist in Machine Learning, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree and experience in ML algorithm development. Familiarity with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and tools for data processing and cloud computing is essential. Exceptional problem-solving ability, communication, and self-motivation are key soft skills for collaborating remotely and driving projects forward. These skills ensure you can independently design, implement, and communicate impactful machine learning solutions in a distributed work environment.

What can I expect in terms of collaboration and communication when working as a remote applied scientist machine learning?

As a Remote Applied Scientist in Machine Learning, you will frequently collaborate with cross-functional teams, including data engineers, product managers, and software developers. Communication typically takes place via video calls, chat platforms, and shared documentation, so strong written and verbal communication skills are essential. You may participate in regular virtual stand-ups, sprint planning, and code reviews to align on project goals and share progress. Remote work environments emphasize proactive communication and self-management to ensure seamless teamwork and project delivery.

What cities in California are hiring for Remote Applied Scientist Machine Learning jobs?

Cities in California with the most Remote Applied Scientist Machine Learning job openings:

Remote Applied Scientist Machine Learning jobs near you
Infographic showing various Remote Applied Scientist Machine Learning job openings in California as of June 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Scientist / Machine Learning Engineer

San Diego, CA • On-site, Remote

Trabus Technologies
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Trabus Technologiesexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Data Scientist / Machine Learning Engineer
About TRABUS Technologies
TRABUS Technologies (TRABUS) is a minority-owned, Service-Disabled Veteran-Owned Small Business (SDVOSB) headquartered in San Diego, California. Since 2010, TRABUS has provided advanced wireless technology solutions, cybersecurity expertise, artificial intelligence capabilities, and engineering support to federal and commercial clients.
Recognized on the Inc. 5000 list for seven consecutive years, TRABUS is a dynamic, forward-leaning organization committed to solving complex, real-world challenges and delivering mission-ready solutions that meet and exceed customer expectations.
Position Overview
TRABUS Technologies is seeking a highly motivated Data Scientist / Machine Learning Engineer to join our growing Artificial Intelligence and Data Science team.
In this role, you will combine machine learning, data science, and software engineering skills to support a variety of AI-based projects, including resource planning for ship maintenance, marine transportation, and climate and environmental informatics.
The successful candidate will develop machine learning models that provide predictive insights and analytics for robust, web-based, full-stack AI applications supporting both government customers - including the Department of Defense (DoD), Department of Transportation (DoT), and National Oceanic and Atmospheric Administration (NOAA) - and commercial customers.
Key Responsibilities
  • Develop code to extract, clean, transform, and preprocess training datasets from disparate data formats, sources, and APIs.
  • Research, evaluate, select, and develop appropriate Machine Learning (ML) and Deep Learning (DL) algorithms and models.
  • Apply AI/ML techniques across diverse data domains, including Navy, transportation, environmental sciences, healthcare, and public safety.
  • Collaborate with the TRABUS Data Science team to develop scalable AI solutions incorporating technologies such as:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Prompt Engineering
    • Computer Vision
    • Natural Language Processing (NLP)
  • Work alongside AI/ML and DevOps engineers to develop automated AI workflows that continuously generate predictions and inferences.
  • Develop validation and testing routines to measure model performance and evaluate the quality and accuracy of predictions.
  • Analyze large datasets and data streams to identify patterns, trends, and actionable insights.
  • Support the integration of machine learning models into web-based and full-stack AI applications.
  • Collaborate with technical teams throughout the development, testing, integration, and deployment lifecycle.

Required Qualifications
  • Minimum of 2 years of programming experience using Python.
  • Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science.
  • Knowledge and experience with Python data science and machine learning libraries such as:
    • Pandas
    • scikit-learn
    • Keras
    • TensorFlow
    • PyTorch
  • Strong Python programming skills with the ability to process and analyze large datasets and data streams.
  • Understanding of databases, data structures, and API-based ETL operations.
  • Strong working knowledge of Linux or Unix-based operating systems.
  • Familiarity with Python web frameworks such as FastAPI, Django, and Flask.
  • Experience working with Git repositories and version control.
  • Ability to work collaboratively within multidisciplinary technical teams.
  • U.S. Citizenship is required.
  • Must be able to obtain and maintain a final DoD-adjudicated Secret security clearance.

Desired Qualifications
  • Current DoD-adjudicated Secret security clearance.
  • Strong knowledge of DevOps tools, processes, and best practices.
  • Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Familiarity with Agile software development methodologies.
  • Experience working within Agile development environments.
  • Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Proficiency with Microsoft Office applications.
  • Strong written and verbal communication skills.
  • Strong attention to detail and commitment to procedural compliance.
  • Ability to manage multiple responsibilities and priorities while meeting established deadlines.

Education
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or another related STEM discipline.
  • Master's degree preferred.

Benefits
TRABUS Technologies offers a competitive compensation package and comprehensive employee benefits, including:
  • Paid Time Off (PTO)
  • Paid Holidays
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • 401(k)
  • Life and AD&D Insurance

Equal Employment Opportunity
TRABUS Technologies is an Equal Employment Opportunity Employer. We are committed to the principles of equal employment opportunity and will not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local discrimination laws.

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