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Machine Learning Engineer Biotech Jobs in Reno, NV

DataAnnotation

SDLC Engineer - AI Trainer

Reno, NV · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

SDLC Engineer - AI Trainer

Sparks, NV · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Reno, NV · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Sparks, NV · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Automated QA Engineer - AI Trainer

Reno, NV · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Reno, NV

Machine Learning Engineer Biotech information

See Reno, NV salary details

$31.4K

$128.4K

$192.9K

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

As of Jun 18, 2026, the average yearly pay for machine learning engineer biotech in Reno, NV is $128,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $154,500.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Reno, NV? For Machine Learning Engineer Biotech jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Reno, NV look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Reno, NV are:
Machine Learning Engineer Biotech jobs near you
Mechanical Engineer - Battery Sorting, Energy Storage

Mechanical Engineer - Battery Sorting, Energy Storage

Redwood Materials

Mccarran, NV • On-site

Other

Posted 3 days ago

Job description

Mechanical Engineer - Battery Sorting, Energy Storage

Do you want to design and build the automated systems that make battery recycling possible at scale? Join the Battery Sorting team at Redwood Materials, where we are building a world-class, state-of-the-art, ML-enabled sorting platform that integrates conveyors, diverter mechanisms, computer vision, and operator-assist systems to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors.

Our team partners closely with Controls, Software, and Production Engineering to solve tightly coupled electromechanical and AI-driven challenges as we scale the infrastructure driving the circular battery economy. By increasing the reach of recycled and sustainable materials, we are transforming the global battery supply chain.

As a Mechanical Engineer on the Sorting team, you'll work alongside a world-class, cross-functional group of engineers to design, fabricate, integrate, and sustain production sorting equipment. We're looking for hands-on problem solvers who are energized by rapid iteration, people who can move fluidly between CAD, the shop floor, and the production line to keep hardware performing.

If you're ready to make a tangible impact on the future of sustainable manufacturing, we want to hear from you.

Responsibilities:

  • Design, prototype, and implement mechanical assemblies for sorting line subsystems including infeed, outfeed, conveyors, diverters, and guarding
  • Collaborate with production engineering to troubleshoot and improve existing sorting equipment and processes to maximize throughput and uptime
  • Apply engineering fundamentals (structural sizing, mechanism design, tolerance analysis) to deliver robust hardware solutions
  • Create detailed models and engineering drawings in SolidWorks for custom fixtures, brackets, enclosures, and conveyor components
  • Support machine activation alongside the controls engineering team; participate in development testing and validation runs with production engineering
  • Assist with integration of sensors, cameras, and actuators into mechanical assemblies, ensuring hardware interfaces support the ML-based classification and computer vision pipeline
  • Contribute novel mechanical concepts and designs with the potential to generate intellectual property and patents

Basic Qualifications:

  • Bachelor's degree in Mechanical Engineering or a related engineering discipline
  • Experience using a CAD software design package (e.g., SolidWorks, NX, CATIA, or ProE)
  • Internship, co-op, or up to 2 years of professional experience in mechanical design (new graduates welcome)

Preferred Skills and Experience:

  • Hands-on fabrication or prototyping experience (3D printing, sheet metal, welded structures, manual machining)
  • Exposure to conveyor systems, material handling equipment, or automated sorting/packaging machinery
  • Familiarity with sensor and actuator integration (encoders, servos, pneumatics, proximity sensors, cameras)
  • Interest in or exposure to machine learning, computer vision, or AI-enabled manufacturing systems
  • Understanding and application of GD&T
  • Experience working in or adjacent to a production or manufacturing environment
  • Comfort with engineering hand calculations and basic FEA
  • Ability to prioritize and execute tasks in a fast-paced, dynamic environment
  • Strong collaboration skills, including daily interactions with engineers, maintenance technicians, suppliers, and leadership

Additional Requirements

  • Work schedule may vary depending on site operational needs, and flexibility is required
  • Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
  • Must be able to lift and carry up to 50 lbs. as needed

Apply