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Machine Learning Engineer Biotech Jobs in Reno, NV

The Talent Mine

Tactical TPM

Reno, NV · On-site

$70/hr

... Execution Engineering team and early-stage "Incubation" project focused on next-generation Machine Learning (ML) infrastructure for a Fortune 500 Hyperscale Technology Leader. This role is ...

Ormat Technologies, Inc.

Geochemist

Reno, NV

Must possess Master of Science or Engineering in a relevant subject. A Doctorate degree in a relevant subject is advantageous. * Must be able to use and acquire knowledge of a variety of computer ...

Ormat Technologies, Inc.

Geochemist

Reno, NV

Must possess Master of Science or Engineering in a relevant subject. A Doctorate degree in a relevant subject is advantageous. * Must be able to use and acquire knowledge of a variety of computer ...

Elemental LED, Inc.

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

Every day, our engineers, innovators, creators, and problem-solvers work together to develop and ... We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ...

Elemental Brands

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

Every day, our engineers, innovators, creators, and problem-solvers work together to develop and ... We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ...

Elemental Brands

Machine Operator I

Reno, NV · On-site

$17 - $20.25/hr

Every day, our engineers, innovators, creators, and problem-solvers work together to develop and ... We encourage curiosity, continuous learning, and fresh ideas across every department, empowering ...

Varsity Tutors

Data Science Tutor

Reno, NV · Remote

$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 ...

Humana Inc

Senior Software Engineer - NBA

Carson City, NV · On-site

$125 - $150/hr

Work closely with platform, data, and machine learning teams to maintain clean integration points ... Mentor junior engineers and contribute to technical standards and best practices. Use your skills ...

Panasonic

Business Process Engineer III

Sparks, NV · On-site

Lead evaluation and integration of technologies such as IoT, AI/machine learning, robotics, and ... Coach Business Process Engineer I and II team members on process methods, stakeholder management ...

Varsity Tutors

Python Tutor

Reno, NV · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Amperesand

Senior Manufacturing Engineer

Reno, NV · On-site

$90K - $124K/yr

... machine and process architecture. This role presents a unique opportunity to influence product ... It is a rare and valuable learning experience for manufacturing engineers to be embedded so deeply ...

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Showing results 41-60

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 Sep 10, 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 biotech?

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?

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
Infographic showing various Machine Learning Engineer Biotech job openings in Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,391 per year, or $61.7 per hour.

Tactical TPM

Reno, NV • On-site

The Talent Mine
See more jobs at The Talent Mineexternal

$70/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Description:
The Tactical TPM (Technical Project Manager) will act as a critical technical bridge between the Data Center Execution Engineering team and early-stage "Incubation" project focused on next-generation Machine Learning (ML) infrastructure for a Fortune 500 Hyperscale Technology Leader. This role is responsible for the strategic oversight, requirement gathering, and technical management of load emulation systems for power distribution. The candidate will ensure that new ML rack technologies are accurately simulated to validate power distribution behavior before fleetwide deployment.

Location:
Reno, Nevada

Travel Requirements:
Less than 25% (Primarily for vendor site visits and hardware evaluations)

Engagement Terms:
12-Month Contract (no benefits)

Compensation:
Starting at $70/hr DOE

Responsibilities:
A. Technical Requirement Gathering & Incubation Management

  • Serve as the primary technical point of contact for 4–5 simultaneous "incubations" or new technology test-beds.
  • Interface directly with internal electrical engineers and leads at a global hyperscale provider to extract, define, and document complex requirements for load emulation hardware.
  • Translate high-level ML rack power profiles into technical hardware specifications for power distribution testing.
  • Lead the strategy for power dissipation (emulation levels vs. ground-sinking) to ensure safe and accurate simulation of electrical behavior in a mission-critical environment.

B. Portfolio Development & Vendor Oversight

  • Create and understand requirements to develop a comprehensive portfolio of devices that the team can tap into for simulating load.
  • Oversee external vendors, performing deep-dive reviews of technical specifications and performance data.
  • Evaluate and advise on potential vendor transitions, ensuring that new hardware partners align with industry-leading hyperscale standards and technical specifications.
  • Conduct rigorous peer reviews of vendor deliverables, including hardware models, sequence of operations, and testing protocols.

C. Support Execution & Strategy

  • Collaborate with cross-functional teams to ensure emulation hardware integrates seamlessly with existing data center infrastructure.
  • Identify and solution technical issues or outages related to emulation hardware in direct support of incubation stakeholders.
  • Generate solution/upgrade options for emulation devices that have a fleetwide impact on power reliability and availability.

D. Program Administration & Communication

  • Operate internal issue-tracking platforms to manage project milestones and technical escalations.
  • Produce technical presentations to communicate findings, hardware evaluations, and strategic options to internal executive stakeholders.
  • Maintain detailed spreadsheets for engineering calculations and tabular evaluations of load profiles.

Requirements:

  • Education: B.S. in Electrical Engineering (required) or equivalent experience with electrical systems.
  • Seniority: 7+ years of experience in project management, electrical engineering, or technical hardware development.
  • Specialized Expertise: Direct experience with emulation or simulation hardware (strongly preferred) and power distribution systems.
  • Technical Skillset: Strong understanding of Machine Learning (ML) rack behavior and its impact on mission-critical electrical distribution.
  • Soft Skills: Excellent technical communication skills with the ability to express complex electrical concepts to both internal leads and external vendors.

The Talent Mine is a boutique recruitment firm dedicated to providing a pinpointed, hands-on, and friendly hiring experience. We leverage our technical and engineering backgrounds to ensure we match your unique "why" with mission-critical projects that change how we live in the future. Our goal is to provide uniquely-qualified, pre-vetted, and pre-closed candidates who represent a "win-win" for both the candidate and the client.

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