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Remote Machine Learning Jobs in South Gate, CA (NOW HIRING)

Spokeo

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

$171K - $207K/yr

... machine learning techniques in collaboration with data science and ML engineering teams. * 10% - ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Motorola

Senior DevOps Engineer (US REMOTE)

Culver City, CA · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Recruit Monitor

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages * Develop technical as well as process-based ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

SpaceX

Software Engineer (Starship)

Hawthorne, CA · On-site +1

$145K - $175K/yr

Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch ... This position is based in Hawthorne, CA and requires being onsite - remote work not considered ...

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Showing results 41-60

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in South Gate, CA

Remote Machine Learning information

See South Gate, CA salary details

$25.9K

$43.2K

$89.4K

How much do remote machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote machine learning in South Gate, CA is $43,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 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 South Gate, CA? The most popular types of Machine Learning jobs in South Gate, CA are:
What are popular job titles related to Remote Machine Learning jobs in South Gate, CA? For Remote Machine Learning jobs in South Gate, CA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in South Gate, CA look for? The top searched job categories for Remote Machine Learning jobs in South Gate, CA are:
What cities near South Gate, CA are hiring for Remote Machine Learning jobs? Cities near South Gate, CA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in South Gate, 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 $43,239 per year, or $20.8 per hour.

Organizational Change Management Consultant - Utility Industry

Newhouse Project Consulting

Anaheim, CA • Remote

$80 - $90/hr

Contractor

Posted 7 days ago

Job description

About the Opportunity

We are looking for an experienced Organizational Change Management Consultant to support a late-stage technology deployment within a field operations environment.

This engagement is designed for a hands-on, execution-oriented change professional who can quickly drive stakeholder engagement, communications, readiness activities, training alignment, and adoption support. The project involves a machine learning-enabled operational tool designed to improve field inspection efficiency, enhance decision-making, reduce risk, and increase data visibility for employees and stakeholders supporting field-based operations.

This is a full-time contract opportunity expected to run from August 2026 through March 2027.

What You'll Do
  • Lead day-to-day change management execution for a late-stage technology deployment supporting field operations
  • Develop and support stakeholder engagement plans to increase awareness, readiness, and adoption among impacted employees
  • Create clear communications that help field teams, operational leaders, and business stakeholders understand what is changing, why it matters, and how it affects their work
  • Partner with project teams, field operations leaders, business stakeholders, and end users to support adoption
  • Assess change impacts and identify readiness needs across impacted employee groups, including field-facing teams
  • Support training alignment by helping ensure materials, timing, and messaging match user needs in an operational environment
  • Help prepare employees and stakeholders for new workflows, technology-enabled processes, field inspection changes, and greater data visibility
  • Identify adoption risks, resistance points, communication gaps, and readiness barriers across field and operational teams
  • Recommend practical actions to improve user understanding, acceptance, and sustained usage
  • Coordinate with internal teams to support go-live preparation, post-deployment adoption, and ongoing reinforcement
  • Track change activities, stakeholder feedback, readiness progress, and adoption-related next steps
  • Provide hands-on support to help the organization sustain new ways of working across field operations
What We're Looking For
  • Strong Organizational Change Management experience, preferably supporting technology or operational transformation projects
  • Experience supporting field operations, utility operations, inspection teams, asset management, or other field-based work environments strongly preferred
  • Experience with stakeholder engagement, communications, readiness planning, training alignment, and adoption support
  • Ability to operate in a late-stage deployment environment with limited time to influence adoption
  • Strong written and verbal communication skills
  • Ability to translate complex technical or operational changes into clear, practical messaging for field teams, leaders, and impacted users
  • Comfort working with cross-functional teams, project stakeholders, business leaders, field operations leaders, and end users
  • Strong execution mindset with the ability to move quickly, organize work, and drive deliverables
  • Ability to identify adoption risks and recommend practical mitigation steps
  • Strong attention to detail, follow-through, and stakeholder management skills
  • Experience supporting AI, machine learning, analytics, data visibility, or decision-support technology deployments is a plus
Contract Details
  • Full-time contract role
  • 40 hours per week
  • Expected duration of approximately 36 weeks
  • Anticipated timeline: August 2026 through March 2027
  • Remote or hybrid arrangement may be considered based on project needs
  • Focused role supporting stakeholder engagement, communications, readiness, training alignment, and adoption across field operations and operational stakeholder groups
Why This Role Stands Out

This is a strong opportunity for an OCM consultant who enjoys execution-focused change work tied to technology adoption and operational improvement. The role offers the chance to support a meaningful deployment that helps field and operational teams understand, embrace, and sustain new ways of working while improving inspection efficiency, risk reduction, data visibility, and decision-making.

Qualified candidates are encouraged to apply.

Employment Type: CONTRACTOR

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