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Remote Machine Learning Engineer Biotech Jobs in Denver, CO

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

Research, prototype, and deploy innovative solutions leveraging machine learning and computer ... Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote ...

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

Vantor is seeking an Algorithm Engineer to help develop next-generation solutions in computer ... remote sensing applications. * Experience with machine learning frameworks and modern AI ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

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Remote Machine Learning Engineer Biotech information

See Denver, CO salary details

$32.4K

$132.5K

$199.2K

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

As of Aug 6, 2026, the average yearly pay for remote machine learning engineer biotech in Denver, CO is $132,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $159,500.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Remote Machine Learning Engineer Biotech jobs in Denver, CO? For Remote Machine Learning Engineer Biotech jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Denver, CO look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Denver, CO are:

Machine Learning Engineer

Canals

Denver, CO • Remote

Full-time

Re-posted 27 days ago


Job description

About Canals

Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.

Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.

We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.

The Role

Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.

What You’ll Do
  • Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.

  • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.

  • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.

  • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

  • Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.

  • Help shape the future of Canals as we continue scaling with our customers.

What You'll Bring
  • Senior-level experience building and deploying machine learning models in production environments.

  • Experience designing scalable data pipelines and working with large datasets.

  • Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.

  • Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).

  • Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.

  • Experience working independently in a fast-paced, product-focused environment.

  • Previous experience in high-growth startups or small teams is a plus.

  • Familiarity with MLOps practices and tools is a plus.

Why Join Canals

We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.

We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.

We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.

You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.

We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.

We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.