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Senior Full Stack Machine Learning Engineer Jobs in Bokoshe, OK

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 ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Senior Full Stack Machine Learning Engineer information

See Bokoshe, OK salary details

$36.7K

$111.1K

$157K

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

As of Sep 11, 2026, the average yearly pay for senior full stack machine learning engineer in Bokoshe, OK is $111,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $130,200.00 per year, depending on experience, location, and employer.

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

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

Machine Learning Engineer

Fort Smith, AR

Full-time

Re-posted 26 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