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Startup Machine Learning Remote Jobs (NOW HIRING)

Thatgamecompany

Senior Machine Learning Engineer

$120K - $205K/yr

Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and ... startup feel • Interest in technical writing and sharing your work Perks: • Paid Time Off ...

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

... startup environment Qualifications : Required : • 6+ years of professional experience building production machine-learning software systems • Proven experience owning ML systems long enough to ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build ... Employee divides their time between in-office and remote work. Access to an office location is ...

Akasa, Inc

Sr. Machine Learning Engineer

$120/hr

Some of our recent recognitions include being named one of America's Top Startup Employers 2026 by ... While we support remote work on a variety of teams, we have a strong Bay Area presence across the ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build ... Employee divides their time between in-office and remote work. Access to an office location is ...

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

... startup environment Qualifications : Required : • 6+ years of professional experience building production machine-learning software systems • Proven experience owning ML systems long enough to ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... AI * Be part of a rapidly scaling startup defining the future of autonomous intelligence.

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

This is a fully remote position, allowing you to work from home or location of record within the U ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

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Startup Machine Learning Remote information

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$25.5K

$42.6K

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

As of Jul 10, 2026, the average yearly pay for startup machine learning remote in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Startup Machine Learning Engineer in a remote setting, and why are they important?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are remote startup machine learning jobs?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What are some unique challenges faced by machine learning professionals working remotely at a startup?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.
More about Startup Machine Learning Remote jobs
What cities are hiring for Startup Machine Learning Remote jobs? Cities with the most Startup Machine Learning Remote job openings:
What are the most commonly searched types of Startup Machine Learning jobs? The most popular types of Startup Machine Learning jobs are:
What states have the most Startup Machine Learning Remote jobs? States with the most job openings for Startup Machine Learning Remote jobs include:
What job categories do people searching Startup Machine Learning Remote jobs look for? The top searched job categories for Startup Machine Learning Remote jobs are:
Startup Machine Learning Remote jobs near you
Infographic showing various Startup Machine Learning Remote job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer- Remote

Machine Learning Engineer- Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110K - $166K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.
Duties and Responsibilities
  • Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.             
  • Build and maintain an industry leading MLOps tech stack.       
  • Mentor data scientists within the business, ensuring we're building best-in-class models.       
  • Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.   
  • Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.       
  • Design, build, and maintain a secure and scalable CI/CD framework for data science teams.             

Scope
  • Staff supervision and development:  No
  • Decision making:  Recommends policy and resolves problems
  • Travel:  Up to 5%
  • Flex Designation:  Anywhere

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.

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