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Remote Machine Learning Engineer Biotech Jobs in Canton, MI

General Motors

Data Scientist

Warren, MI · On-site +1

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology ... Partner cross-functionally with data engineering, software delivery, product delivery teams ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

May Mobility

Systems Engineer II

Ann Arbor, MI · On-site +1

Job Summary The Systems Engineer II leverages a comprehensive understanding of the company ... Experience in Autonomous Vehicles, Machine Learning, Robotics, Internet of Things (IoT), or Mobile ...

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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 4, 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:

Remote Machine Learning Engineer Biotech jobs near you
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.

AI Tech Lead / REMOTE / Work-Life Balance

Motion Recruitment

Detroit, MI • Remote

Contractor

Medical, Dental, Vision

Posted 3 days ago

New

Job description


An established technology-driven consulting and analytics organization is expanding its Artificial Intelligence practice and seeking an experienced AI Tech Lead to join its growing team. This fully remote opportunity offers the chance to build enterprise-scale AI solutions leveraging Databricks, Generative AI, LLM frameworks, cloud technologies, Python, SQL, and modern MLOps methodologies. The position is full-time and provides significant visibility into high-impact business initiatives.
This opportunity is particularly attractive for senior AI engineers seeking greater influence without completely moving away from hands-on development. The ideal candidate enjoys solving complex technical challenges, mentoring engineers, and shaping AI architecture while continuing to contribute code. The organization values innovation, technical excellence, and professional growth, providing a strong platform for future leadership opportunities.
Required Skills & Experience
  • 5+ years of professional AI, Machine Learning, or Data Science engineering experience
  • Experience designing and deploying production AI systems
  • Advanced knowledge of Databricks ecosystem
  • Hands-on experience with LLMs, RAG architectures, and Generative AI applications
  • Strong Python development experience
  • SQL expertise
  • Experience implementing MLOps best practices
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
  • Strong communication and stakeholder management skills
  • Experience mentoring engineers and influencing technical direction
Desired Skills & Experience
  • Experience with AWS Bedrock
  • MLflow expertise
  • Knowledge of Unity Catalog
  • Experience with BI platforms such as Tableau, Power BI, or Domo
  • Previous experience serving as a technical lead or principal engineer
  • Master's degree in a technical discipline
What You Will Be Doing
Tech Breakdown
  • 40% AI/LLM Architecture
  • 25% Databricks & MLOps
  • 20% Python Development
  • 15% Cloud & Data Platform Engineering

Daily Responsibilities
  • 70% Hands On Development
  • 15% Technical Leadership & Mentorship
  • 15% Team Collaboration & Stakeholder Engagement

The Offer
  • Competitive hourly rate
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Career Development Opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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