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Urgently Hiring Machine Learning Engineer Biotech Jobs

Nanite Inc.

Machine Learning Engineer

Boston, MA

Design and implement complex data engineering processes to support innovative data science modeling ... Interest in applications of machine learning in biotechnology * Strong communication skills, both ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Design and implement complex data engineering processes to support innovative data science modeling ... Interest in applications of machine learning in biotechnology * Strong communication skills, both ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

The hiring manager is specifically looking for someone who enjoys coding and solving technical ... Deploy Machine Learning models into production environments Collaborate with software engineering ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... This policy applies to all terms and conditions of employment, including recruiting, hiring ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

Stellent IT LLC

Machine Learning Engineer

Arlington, VA · On-site

$130K/yr

Machine Learning Engineer Location: Arlington, VA Duration: FTE/No C2C Role: Design, develop, and maintain the product ionization of machine learning, deep learning, generative AI, large language ...

Paylocity

Machine Learning Engineer

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Alt

Machine Learning Engineer

San Francisco, CA · On-site +1

$196K/yr

Machine Learning Engineer (Full time) JOB DUTIES: The Machine Learning Engineer will design, develop, deploy, and maintain advanced machine learning models and data analysis systems to support ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

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All JobsUrgently Hiring Machine Learning Engineer Biotech Jobs

Urgently Hiring Machine Learning Engineer Biotech information

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How much do urgently hiring machine learning engineer biotech jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for urgently hiring machine learning engineer biotech in the United States is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.35 per hour, depending on experience, location, and employer.

Is a machine learning engineer still in demand?

Machine learning engineers are in high demand across industries, especially in biotech where AI-driven data analysis and predictive modeling are critical. The role requires skills in programming, data science, and familiarity with tools like Python, TensorFlow, or PyTorch, making it a valuable and sought-after position in the current job market.

Which 5 jobs will survive AI?

Machine Learning Engineers in biotech are likely to continue thriving as AI advances because they develop and refine AI models, requiring specialized skills in data science, programming, and domain knowledge. Jobs that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, researchers, data scientists, software developers, and regulatory specialists—are also expected to persist despite automation. These roles often require critical thinking and adaptability that AI cannot fully replicate yet.

What engineer makes $500,000 a year?

A senior machine learning engineer in biotech or related fields can earn $500,000 or more annually, especially with extensive experience, specialized skills, and working at top-tier companies or startups. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

Can AI take over biotechnology jobs?

In biotechnology, machine learning engineers develop AI models to analyze biological data, automate experiments, and optimize processes. While AI can automate certain tasks, it typically complements human expertise rather than replacing entire roles, requiring skills in data analysis, programming, and domain knowledge. Human oversight remains essential for interpretation, decision-making, and ethical considerations in biotech work.

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

AspectUrgently Hiring Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Stats, or related; strong analytical skills
Work EnvironmentDeveloping ML models, deploying algorithms, coding in Python/RAnalyzing data, creating reports, statistical modeling
Employer & Industry UsageTech-driven biotech firms, startups, R&D departmentsResearch institutions, biotech companies, analytics teams

Urgently Hiring Machine Learning Engineers focus on building and deploying ML models in biotech, while Data Scientists analyze data and generate insights. Both roles require similar educational backgrounds but differ in daily tasks and technical focus.

More about Urgently Hiring Machine Learning Engineer Biotech jobs
What cities are hiring for Urgently Hiring Machine Learning Engineer Biotech jobs? Cities with the most Urgently Hiring Machine Learning Engineer Biotech job openings:
What are the most commonly searched types of Machine Learning Engineer Biotech jobs? The most popular types of Machine Learning Engineer Biotech jobs are:
What states have the most Urgently Hiring Machine Learning Engineer Biotech jobs? States with the most job openings for Urgently Hiring Machine Learning Engineer Biotech jobs include:
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Urgently Hiring Machine Learning Engineer Biotech jobs near you
Infographic showing various Urgently Hiring Machine Learning Engineer Biotech job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,952 per year, or $59.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Nanite Inc.

Boston, MA

Full-time

Posted 25 days ago

Job description

Our mission is to deliver the undeliverable.

 

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.

Essential Functions and Duties

  • Design and implement complex data engineering processes to support innovative data science modeling
  • Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
  • Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
  • Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
  • Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
  • Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications

MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience. 

Knowledge, Skills, and Abilities

  • Track record developing statistical and machine learning models for complex and unconventional real-life problems
  • Strong mathematical and coding skills
  • Proficiency in Python,  MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
  • Familiarity with ML workflow best practices.
  • Interest in applications of machine learning in biotechnology
  • Strong communication skills, both written and verbal
  • Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):

  • Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
  • Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.

Apply