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Senior Machine Learning Engineer Biotech Jobs in Houston, TX

* 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 ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

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 ...

Machine Learning Engineer

Houston, TX · On-site

$62K - $100K/yr

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 ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

Showing results 21-40

Senior Machine Learning Engineer Biotech information

See Houston, TX salary details

$56.8K

$120.9K

$175.2K

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

As of Sep 6, 2026, the average yearly pay for senior machine learning engineer biotech in Houston, TX is $120,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $137,000.00 per year, depending on experience, location, and employer.

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

AspectSenior 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, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and deployment pipelines in biotech R&DAnalyzes data, builds statistical models, and interprets biological data
Employer & Industry UsageTech-driven biotech firms, pharma companies, research labsBiotech companies, healthcare analytics, research institutions

While both roles work with biological data, Senior Machine Learning Engineers focus on developing and deploying ML models for biotech applications, whereas Data Scientists analyze and interpret data to inform research and decision-making. The ML Engineer role emphasizes model deployment and engineering skills, while Data Scientists focus more on statistical analysis and insights.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Houston, TX?

The most popular types of Machine Learning Engineer Biotech jobs in Houston, TX are:

What job categories do people searching Senior Machine Learning Engineer Biotech jobs in Houston, TX look for?

The top searched job categories for Senior Machine Learning Engineer Biotech jobs in Houston, TX are:

What cities near Houston, TX are hiring for Senior Machine Learning Engineer Biotech jobs?

Cities near Houston, TX with the most Senior Machine Learning Engineer Biotech job openings:

Machine Learning Engineer

Bespoke Labs

Houston, TX • On-site

Full-time

Re-posted 20 days ago


Job description

  • 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