ZipRecruiter

Log In

2

Startup Machine Learning Remote Jobs (NOW HIRING)

Judi Health

Machine Learning Engineer

Denver, CO · Remote

We are looking for a software engineer with machine learning expertise to join us in expanding our ... startup environment. * Good written communication skills that enable collaboration in a remote ...

Judi Health

Machine Learning Engineer

New York, NY · Remote

We are looking for a software engineer with machine learning expertise to join us in expanding our ... startup environment. * Good written communication skills that enable collaboration in a remote ...

Pelica Health

Machine Learning Engineer

... paced startup environment with high ownership and ambiguity. • Ability to clearly explain ... non-machine-learning stakeholders. Preferred : • Experience working with healthcare or ...

New

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

SmarterDx

Staff Software Engineer, Machine Learning

$260K/yr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Nice To Haves * You're a former startup founder, or have been the first engineering hire at a ...

SmarterDx

Senior Software Engineer, Machine Learning

$190/hr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Nice To Haves * You're a former startup founder, or have been the first engineering hire at a ...

ManTech International

Machine Learning Engineer

$128.80K - $214.50K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Keebo

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for ... Experience with Google Cloud and BigQuery Our Environment Keebo is a fully remote, global team with ...

Anytime AI

Be Seen First

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

... Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

Pluralsight LLC

Machine Learning Engineer

$121.60K - $160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

next page

Showing results 1-20

People also search for

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 May 29, 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 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.

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.
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 May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 66% Physical, 6% Hybrid, and 28% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Founding Full Stack Developer (Remote)

Recruitzsy

Humble, TX • Remote

Full-time

Posted 18 days ago

Job description

Our San Francisco client is on a mission to combat climate change, improve food security, and alleviate poverty by building a global measurement, reporting, and verification (MRV) platform for high-integrity carbon removal and storage. With groundbreaking technological innovation using ground truth sampling, remote sensing, and AI modeling, they are accurately and scalably measuring soil carbon to incentivize the adoption of sustainable practices. As a public-benefit corporation, they are backed by world-class investors such as Floodgate, John Doerr, Kleiner Perkins, Sheryl Sandberg, Ponderosa Ventures, 776 Foundation (Alexis Ohanian), George Roberts, and Stanford's TomKat Center for Sustainable Energy. Our client is seeking a proactive and collaborative self-starter with at least 5 years of experience building and owning a complete end-to-end technology stack to join their interdisciplinary team.


Qualifications:

The successful candidate will have a track record of shipping and going through the full product development cycle, setting up the technology stack and development infrastructure, and developing infrastructure/pipelines to support Machine Learning/Remote Sensing workflows. While experience in climate/agriculture is a plus, a passion for climate is a must! Multidisciplinary teamwork, as well as understanding how to support Machine Learning and Remote Sensing workflows, is also highly valued. If you care deeply about climate change and feel a strong moral responsibility to act now, apply today!


Requirements:


  • 5-10 years of relevant professional experience after college
  • Experience shipping and building products from 0 to 1
  • Worked as an early employee in a technical role at a startup and has some leadership experience managing technical teams
  • Experience as an early employee at top-tier startups and open-source work
  • Passion for climate change and strong moral responsibility to act
  • Multidisciplinary team work experience, preferably in software and healthcare
  • Understanding of how to support machine learning and remote sensing workflows


Qualifications:

  • 5+ years of experience building and owning a complete end-to-end technology stack (Frontend + Backend + Cloud + CI/CD)
  • A track record of shipping and going through the full product development cycle right from writing the first line of code to product in the hands of users and iterating quickly on feedback
  • Experience with setting up the technology stack and development infrastructure from Day 1 and scaling it with growth
  • Ability to develop infrastructure/pipelines to support Machine Learning / Remote Sensing workflows
  • Proactive and collaborative self-starter with a strong ability to attract other top technical talent and lead them effectively
  • Past experience working in climate/agriculture is not a requirement, but a passion for climate is a plus!
  • Past multidisciplinary teamwork (i.e. e.g. working on software in healthcare) is a huge plus, as you will be working with an interdisciplinary team with expertise in AI, Remote Sensing, Carbon Markets, Soil Carbon Modeling, Sustainable Finance
  • Machine Learning and Remote Sensing experience is not required, but understanding how to support these workflows (e.g. setting up data pipelines, setting up infrastructure to parallelize model runs, automating the deployment of models to integrate with the core MRV product) is a huge bonus!
  • You care deeply about climate change and feel a strong moral responsibility to act now. This extends into all facets of your life: both personal and professional. No action is too small and no goal is too big. Whether you have turned vegan or swear by public transport, we are big believers in embracing sustainability as a mindset and would love to learn what this means for you!
Employment Type: FULL_TIME

Apply