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Senior Full Stack Machine Learning Engineer Jobs in Bokoshe, OK

Bespoke Labs

Machine Learning Engineer

Fort Smith, AR · On-site

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 ...

Varsity Tutors

Machine Learning Tutor

Fort Smith, AR · Remote

$18 - $40/hr

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

Varsity Tutors

Web Development Tutor

Fort Smith, AR · Remote

$18 - $40/hr

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

Varsity Tutors

JavaScript Tutor

Fort Smith, AR · Remote

$18 - $40/hr

... 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 ...

Varsity Tutors

Supabase Tutor

Fort Smith, AR · Remote

$18 - $40/hr

... 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 ...

ABB

Senior Mechanical Engineer

Fort Smith, AR · On-site

$100K - $133K/yr

Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ... What's in it for you We want you to bring your full self to work-your ideas, your energy, your ...

ABB

Senior Mechanical Engineer

Fort Smith, AR · On-site

$101K - $134K/yr

Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ... What's in it for you We want you to bring your full self to work-your ideas, your energy, your ...

Abb Holdings Inc

Senior Mechanical Engineer

Fort Smith, AR · On-site

$100K - $133K/yr

Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ... What's in it for you We want you to bring your full self to work-your ideas, your energy, your ...

Varsity Tutors

Data Science Tutor

Fort Smith, AR · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Skilled at teaching the full data science workflow from question formulation through insight ...

Varsity Tutors

HTML Tutor

Fort Smith, AR · Remote

$18 - $40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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All JobsFull Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer Jobs in Bokoshe, OK

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 Jul 28, 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.

Senior Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Fort Smith, AR • On-site

Full-time

Posted 11 days ago

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

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