ZipRecruiter

Log In

2

Startup Machine Learning Remote Jobs (NOW HIRING)

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and ...

Extend

Manager, Machine Learning

$180K - $210K/yr

Required: * 6+ years of work experience building and deploying machine learning systems into ... Stock in an early-stage startup growing quickly. * Generous, flexible paid time off policy ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise ... Remote * Commitment : 10-40 hours/week What You'll Do * Construct precise, well-structured ...

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

nou Systems

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... in machine learning, data science, or backend software development. * Hands-on experience ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Modulate

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

Experience in fast-paced startup environments Benefits * Competitive salary + equity * Full health ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Modulate

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

Experience in fast-paced startup environments Benefits * Competitive salary + equity * Full health ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

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 ...

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

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 ...

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 ...

next page

Showing results 1-20

All JobsStartup Machine Learning Remote Jobs

Startup Machine Learning Remote information

See salary details

$25.5K

$42.6K

$88K

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

As of Jun 19, 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 June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Temporary, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Wings of Destiny

Malibu, CA • Remote

Other

Posted 11 days ago

Job description

Location: Remote

Commitment: 5–10 hours per week (flexible)

Duration: 3–6 months (with potential extension)

Compensation: Unpaid / Volunteer (reference letter + portfolio credit provided)

We are a mission-driven organization focused on building technology solutions that create measurable social impact. Our team includes engineers, designers, and community leaders collaborating to deliver scalable, ethical, and data-driven products.

Role Overview

We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and deploy ML models that support our core initiatives. This is an excellent opportunity for someone looking to gain hands-on experience, contribute to meaningful projects, and expand their professional portfolio.

You will work closely with our technical and product teams to develop data pipelines, train models, and integrate intelligent features into production-ready systems.

Key Responsibilities

  • Design, train, and evaluate machine learning models
  • Clean, preprocess, and analyze structured and unstructured data
  • Build and maintain data pipelines
  • Deploy ML models into staging/production environments
  • Collaborate with cross-functional teams to define ML requirements
  • Document experiments, processes, and results
  • Ensure ethical and responsible AI practices

Preferred Qualifications

  • Experience with Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with data manipulation tools (Pandas, NumPy)
  • Understanding of supervised and unsupervised learning techniques
  • Experience with APIs and cloud platforms (AWS, GCP, or Azure) is a plus
  • Knowledge of version control (Git)
  • Strong analytical and problem-solving skills
  • Ability to work independently in a remote environment

What You’ll Gain

  • Real-world experience building and deploying ML systems
  • Mentorship from experienced engineers
  • A tangible project portfolio
  • Letter of recommendation upon successful completion
  • Opportunity to transition into a paid role (if available)

Ideal Candidate

  • Passionate about AI and social impact
  • Self-motivated and reliable
  • Eager to learn and contribute
  • Comfortable working in a collaborative, fast-paced environment

Please submit:

  • Your resume
  • GitHub or portfolio link
  • A short statement (200–300 words) about why you’re interested

Apply