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Startup Machine Learning Remote Jobs (NOW HIRING)

Paradigm Health

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will take a leading role in designing and deploying ... Startup Mindset: Adaptability and experience in fast-paced, mission-driven environments with high ...

Jobgether

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

Tapestry

Senior Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and remote-sensing data, reinforcement learning for physical control systems, and multi-turn ... Experience operating in a startup, high-growth, or rapidly evolving technical environment. Tapestry ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own small to medium components of machine learning systems from technical designthrough ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own small to medium components of machine learning systems from technical designthrough ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

thatgamecompany

Senior Machine Learning Engineer

Los Angeles, CA · Remote

$120K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and ... Experience in a small company with a startup feel * Interest in technical writing and sharing your ...

Akasa, Inc

Sr. Machine Learning Engineer

$120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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 ...

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 ...

Dyno Therapeutics

Sr. Machine Learning Engineer - Machine Learning

$107K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote How You Will Contribute As a Sr. Machine Learning Engineer , you will build and scale the ML infrastructure, tools, and workflows that power Dyno's research efforts. You will partner closely ...

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Thatgamecompany

Senior Machine Learning Engineer

$120K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week . Requirements Key Responsibilities * Design challenging, real-world machine learning and natural language ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

  • Medical

  • Retirement

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.

Motif Neurotech

Data and Machine Learning Lead

Houston, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Motif is a medical device startup based in Houston, Texas. We are designing and developing ... Remote with periodic travel to Houston, Texas and scientific conferences Does this sound like you?

Zencastr

Senior Machine Learning Engineer (Remote)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to design and develop machine learning ... The easiest way to record your remote podcast interviews in studio quality Founded in 2014, the ...

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Startup Machine Learning Remote information

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$25.5K

$42.6K

$88K

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

As of Aug 20, 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 is a startup machine learning engineer remote?

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 skills and qualifications are needed to thrive as a startup machine learning engineer remote?

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 startup machine learning engineers working remotely?

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

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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:

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Startup Machine Learning Remote jobs near you
Infographic showing various Startup Machine Learning Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Senior Machine Learning Engineer

Paradigm Health

Remote

$107K - $146K/yr

Full-time

Posted 8 days ago

Job description

Paradigm Health is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm's seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.
Our team hails from a broad range of disciplines and is committed to the company's mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission.
Please Note: We are posting this position in anticipation of a hiring need later this year; as such we are NOT in an active recruiting cycle for it, but starting the process of advertising the role to attract talent and applications for those who are interested in future opportunities like this at Paradigm Health.
Role Summary:
As a Senior Machine Learning Engineer, you will take a leading role in designing and deploying sophisticated ML models, including GenAI and LLM-based solutions, that optimize clinical trial workflows and patient engagement. This position offers an opportunity to impact healthcare by developing state-of-the-art models that enhance trial design, accelerate patient recruitment, and improve overall trial efficiency. You will contribute to both high-level architecture decisions and hands-on implementation, driving the technology forward and influencing ML strategies across Paradigm.
Responsibilities:
  • Model Development & Deployment: Lead the development, testing, and deployment of ML models and pipelines, with a focus on scalability and integration into production systems.
  • Advanced GenAI/LLM Applications: Design and refine GenAI/LLM-based models to streamline and automate clinical trial operations, from data gathering to real-time performance monitoring.
  • Cross-Functional Collaboration: Partner with clinicians, informaticists, data scientists, and engineers to build solutions aligned with Paradigm's mission and goals.
  • Infrastructure & Performance Optimization: Drive improvements in model deployment infrastructure, develop monitoring tools, and refine model performance to ensure robust production-level reliability.
  • Technical Leadership & Mentorship: Mentor junior ML engineers, contributing to team knowledge-sharing and establishing best practices for data science and machine learning.
  • Strategic Communication: Present complex technical insights and results to both technical and non-technical stakeholders, advocating for data science-driven strategies that align with business objectives.

Qualifications:
  • Education: Master's or PhD in computer science, statistics, machine learning, or a related field.
  • Experience: 5+ years of experience as a machine learning engineer, with a proven track record in healthcare, life sciences, or a related field.
  • Technical Skills: Deep expertise in training, fine-tuning, and deploying ML models, including experience with GenAI/LLMs. Proficiency in Python, SQL, and familiarity with cloud infrastructure and ML engineering best practices.
  • Production-Level ML Expertise: Experience managing production-level pipelines, including model deployment, monitoring, and continuous integration.
  • Problem Solving & Collaboration: Advanced analytical skills and a collaborative approach to solving complex challenges across teams.
  • Startup Mindset: Adaptability and experience in fast-paced, mission-driven environments with high levels of ambiguity.

Preferred:
  • Healthcare/Clinical Trials Experience: Background in working with oncology or clinical trial data.
  • GenAI/LLM Proficiency: Hands-on experience developing and deploying GenAI/LLM-based models and open-source frameworks for LLM applications.
  • Startup Experience: Previous involvement in an early-stage startup, ideally in health tech or life sciences, with a passion for high-growth projects.

At Paradigm Health, we are committed to providing equal employment opportunities to all qualified individuals. We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions. We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.

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