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Machine Learning Flexible Hours Jobs in California

General Atomics

Machine Learning Engineer III

Poway, CA · On-site

$116K - $208K/yr

Adapts machine learning to areas such as virtual reality, augmented reality, artificial ... Able to work extended hours as required. * Ability to obtain and maintain a DoD security clearance ...

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

$180 - $260/hr

This flexible approach gives team members the best of both worlds: plenty of focus time along with ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...

Superhuman

Machine Learning Engineer

San Francisco, CA · On-site

$250K - $385K/yr

This flexible approach gives team members the best of both worlds: plenty of focus time along with ... MS / PhD in Computer Science. * 5+ years of industry experience as a machine learning engineer or ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep ... Flexible working arrangements, advanced technology, and collaborative workspaces. * A culture of ...

Menlo Ventures

Machine Learning Engineer

San Mateo, CA · On-site

$195 - $350/hr

We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our ... Flexible Time Off (FTO) + Holidays * Quarterly Team Gatherings * In office Perks* * In office ...

MSCI

Machine Learning Researcher

San Francisco, CA

$144K - $187K/yr

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team ... Flexible working arrangements, advanced technology, and collaborative workspaces. * A culture of ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep ... Flexible working arrangements, advanced technology, and collaborative workspaces. * A culture of ...

Escalon

Machine Learning Engineer

Santa Monica, CA

$100K - $120K/yr

The Role Our client is seeking a Machine Learning Engineer to help design and implement intelligent ... Flexible PTO. * The opportunity to work on cutting-edge AI systems supporting mission-critical ...

RADAR

Machine Learning Engineer

Sunnyvale, CA · Hybrid

$195K - $264K/yr

ABOUT THE JOB We are looking for a Machine Learning Engineer to help build and develop our ML ... This is a hybrid role based in our Sunnyvale, CA location with a flexible hybrid work schedule of 2 ...

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All JobsMachine Learning Hours JobsMachine Learning Flexible Hours JobsMachine Learning Flexible Hours Jobs in California

Machine Learning Flexible Hours information

What is the difference between Machine Learning Flexible Hours vs Data Scientist Flexible Hours?

AspectMachine Learning Flexible HoursData Scientist Flexible Hours
CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, research labs, startups; project-basedBusiness analytics, research institutions, tech firms; collaborative teams
Industry UsageAI development, automation, predictive modelingData analysis, reporting, strategic decision-making

Both roles often offer flexible hours, but Machine Learning roles focus on developing algorithms and models, while Data Scientists analyze data to inform decisions. The choice depends on your skills and career goals within the data and AI industry.

What does a machine learning job with flexible hours involve?

A machine learning job with flexible hours typically allows professionals to set their own work schedules instead of adhering to a strict 9-to-5 routine. These roles still require expertise in data analysis, algorithm development, and model training, but provide the freedom to work remotely or during non-traditional hours. Flexible arrangements are common in tech companies and startups, enabling better work-life balance while meeting project deadlines and collaborating with teams virtually.

What are the key skills and qualifications needed to thrive as a machine learning engineer with flexible hours?

To thrive as a Machine Learning Engineer with flexible hours, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree and experience in developing machine learning models. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is highly valuable. Strong problem-solving skills, self-motivation, and effective communication help you excel when working independently and collaborating remotely. These skills are crucial for delivering impactful solutions, maintaining productivity, and ensuring successful project outcomes in a flexible work environment.

How do flexible hours impact collaboration and project delivery in a machine learning role?

In a Machine Learning role with flexible hours, collaboration is typically managed through asynchronous communication tools and scheduled meetings to ensure team alignment. While this flexibility allows for better work-life balance and can boost productivity, it also requires clear communication and proactive planning to meet project deadlines. Team members often coordinate their core working hours for critical discussions or decision-making, and use shared platforms to track progress and share updates. Adapting to this structure can be a challenge at first, but it often leads to a more autonomous and motivated team environment.
What are popular job titles related to Machine Learning Flexible Hours jobs in California? For Machine Learning Flexible Hours jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Flexible Hours jobs in California look for? The top searched job categories for Machine Learning Flexible Hours jobs in California are:
What cities in California are hiring for Machine Learning Flexible Hours jobs? Cities in California with the most Machine Learning Flexible Hours job openings:
Machine Learning Flexible Hours jobs near you
Infographic showing various Machine Learning Flexible Hours job openings in California as of August 2026, with employment types broken down into 1% As Needed, 56% Full Time, 31% Part Time, 3% Temporary, and 9% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer III

General Atomics

Poway, CA • On-site

Other

Re-posted 22 days ago

General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 72 rated aerospace companies

Job description

Job Summary
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.
DUTIES AND RESPONSIBILITIES:
  • Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope.
  • In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
  • In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code.
  • Completes programming and implements efficiencies, performs testing and debugging.
  • Completes documentation and procedures for installation and maintenance.
  • Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope.
  • Lead technical teams and scope challenging projects into executable sprints.
  • Drive code reviews to help team adhere to general DevSecOps and MLOps best practices.
  • Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution.
  • Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
  • Interface with external vendors and partners to integrate their technology into the team's autonomy stack.
  • Maintains the strict confidentiality of sensitive information.
  • Performs other duties as assigned.
  • Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company.
  • Expected to work in a safe manner in accordance with established operating procedures and practices.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.
  • Must have an advanced understanding of machine learning concepts, principles, and theory.
  • Demonstrates the ability to follow and apply advanced machine learning knowledge, adapt cutting edge standard techniques, and utilize the required diagnostics, tools and equipment, while ensuring safety and regulatory compliance.
  • Must be able to understand new concepts quickly and apply them accurately throughout an evolving environment.
  • Strong communication, computer, and interpersonal skills are required to enable an effective interface with other professionals, to produce appropriate documentation, and to present results to a limited internal audience.
  • Must be able to work both independently and on a team.
  • Must have a demonstrated history of applying novel technical solutions in fast evolving product areas.
  • Able to work extended hours as required.
  • Ability to obtain and maintain a DoD security clearance is required.

What General Atomics employees say

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About General Atomics

Sourced by ZipRecruiter

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955

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