Terre Haute, IN · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Terre Haute, IN · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Hammond, IN · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Hammond, IN · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
South Bend, IN · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
South Bend, IN · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Evansville, IN · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Evansville, IN · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Fundamental knowledge of machine learning principles and hands-on experience programming in Python. * Experience building applications with large language models, including prompt engineering ...
Fundamental knowledge of machine learning principles and hands-on experience programming in Python. * Experience building applications with large language models, including prompt engineering ...
Indianapolis, IN · On-site
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...
Indianapolis, IN · On-site
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...
Fort Wayne, IN · On-site
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...
Fort Wayne, IN · On-site
$62K - $100K/yr
As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...
Hammond, IN · On-site +1
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Hammond, IN · On-site +1
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
South Bend, IN · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
South Bend, IN · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Terre Haute, IN · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Terre Haute, IN · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Evansville, IN · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
Evansville, IN · On-site
$40/hr
Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...
| Aspect | Urgently Hiring Machine Learning Engineer Biotech | Data Scientist Biotech |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, ML, or related; experience with ML frameworks | Bachelor's/Master's in CS, Stats, or related; strong analytical skills |
| Work Environment | Developing ML models, deploying algorithms, coding in Python/R | Analyzing data, creating reports, statistical modeling |
| Employer & Industry Usage | Tech-driven biotech firms, startups, R&D departments | Research 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.
For Urgently Hiring Machine Learning Engineer Biotech jobs in Indiana, the most frequently searched job titles are:
The top searched job categories for Urgently Hiring Machine Learning Engineer Biotech jobs in Indiana are:
Cities in Indiana with the most Urgently Hiring Machine Learning Engineer Biotech job openings:
Terre Haute, IN • On-site
Full-time
Re-posted 24 days ago
Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
Implement methods from recent ML papers quickly and turn them into production-grade systems
