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Contract Machine Learning Engineer Biotech Jobs in New Haven, IN

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Automation Applications Engineer

Fort Wayne, IN · On-site

$94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Automation Applications Engineer will provide support to the Automation Engineering team. This ... Maintenance and repair of automation equipment including machine vision and machine learning ...

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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Showing results 1-20

Contract Machine Learning Engineer Biotech information

See New Haven, IN salary details

$29.1K

$119.1K

$178.9K

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

As of Aug 20, 2026, the average yearly pay for contract machine learning engineer biotech in New Haven, IN is $119,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,800.00 and $143,300.00 per year, depending on experience, location, and employer.

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

AspectContract Machine Learning Engineer BiotechContract Data Scientist Biotech
CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and pipelines for biotech applicationsAnalyzes data, builds statistical models, and interprets biological data
Industry UsageUsed in biotech R&D, drug discovery, and personalized medicineApplied in clinical data analysis, biomarker discovery, and research

Contract Machine Learning Engineers focus on developing and deploying ML models specific to biotech challenges, while Contract Data Scientists analyze biological data to extract insights. Both roles require strong technical skills but differ in their primary focus—model development versus data analysis.

Is a contract machine learning engineer biotech a high paying job?

Contract machine learning engineers in biotech typically earn competitive salaries, often higher than permanent roles due to the specialized skills required. Compensation depends on experience, expertise in tools like Python and TensorFlow, and project complexity, but these roles generally offer lucrative pay in the industry.

What cities near New Haven, IN are hiring for Contract Machine Learning Engineer Biotech jobs?

Cities near New Haven, IN with the most Contract Machine Learning Engineer Biotech job openings:

Infographic showing various Contract Machine Learning Engineer Biotech job openings in New Haven, IN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $119,052 per year, or $57.2 per hour.

Machine Learning Engineer

Bespoke Labs

Fort Wayne, IN • On-site

Full-time

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


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination