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Remote Machine Learning Engineer Biotech Jobs in Canton, MI

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Showing results 21-40

Remote Machine Learning Engineer Biotech information

See Canton, MI salary details

$29.2K

$119.3K

$179.3K

How much do remote machine learning engineer biotech jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote machine learning engineer biotech in Canton, MI is $119,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $143,600.00 per year, depending on experience, location, and employer.

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.

What are common challenges faced by remote machine learning engineers in biotech, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer in biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Canton, MI?

For Remote Machine Learning Engineer Biotech jobs in Canton, MI, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Canton, MI look for?

The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Canton, MI are:

Infographic showing various Remote Machine Learning Engineer Biotech job openings in Canton, MI as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,337 per year, or $57.4 per hour.

Machine Learning Engineering Manager, App SW

Wayve

Detroit, MI • On-site, Remote

$336K - $381K/yr

Full-time

Re-posted 8 days ago


Key responsibilities

  • Build and lead a self-sufficient AV development team in the US, hiring and mentoring engineers across Robotics and ML.

  • Drive development of autonomy features tailored to US road conditions, driving norms, and regulatory requirements, from design to deployment.

  • Collaborate with OEM partners and internal teams to define product requirements, represent the autonomy team in technical discussions, and shape joint development plans.


Job description

 The Role 

We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve's AV capabilities in the US from the ground up.

As a founding manager, you'll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.

We're looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently - while staying aligned with global engineering efforts.

This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.

Key Responsibilities:
  • Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.
  • Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.
  • Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
  • Ensure the team upholds Wayve's high engineering standards, while operating with agility and independence.
  • Work closely with OEM partners in the US - representing Wayve's autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
  • Establish close working relationships with our product and vehicle operations teams in the US.
About you 

To be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.

Essential
  • A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
  • Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
  • Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
  • Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
  • Excellent communication skills: you're able to clearly convey technical context and strategic vision across cultures and time zones.
  • Strong product sense and stakeholder management skills: you're comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.
Desirable
  • Prior experience in autonomous vehicles or robotic systems operating at scale.
  • Familiarity with US's road environment, driving behaviour, or AV regulatory landscape.
  • A strong foundation in machine learning and its application to real-time decision-making or perception systems.

This role is a full-time role based in Sunnyvale, CA  or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1