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Weekend Machine Learning Jobs in Tulsa, OK (NOW HIRING)

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 ...

AI Engineer

Tulsa, OK · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Works with large data sets in a hybrid cloud environment across multiple source systems, machine learning, artificial intelligence and other advanced statistical methods * Work with other internal ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Cnc Mill Machinist

Tulsa, OK

$19.25 - $25.75/hr

Machine components from materials including aluminum, titanium, Inconel, and stainless steel ... Ability to work scheduled shifts, including evenings and weekends, as required by production needs.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Support development and deployment of AI, machine learning, and generative AI solutions as the enterprise platform matures. * Evaluate emerging AI and automation technologies and recommend adoption ...

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Support development and deployment of AI, machine learning, and generative AI solutions as the enterprise platform matures. * Evaluate emerging AI and automation technologies and recommend adoption ...

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Support development and deployment of AI, machine learning, and generative AI solutions as the enterprise platform matures. * Evaluate emerging AI and automation technologies and recommend adoption ...

Implements AI-enabled solutions utilizing machine learning, generative AI, agentic AI, vector search, and other emerging technologies to solve business challenges * Other duties as assigned Education ...

Software Developer II/III

Tulsa, OK · On-site

$110 - $150/hr

Implements AI-enabled solutions utilizing machine learning, generative AI, agentic AI, vector search, and other emerging technologies to solve business challenges* Other duties as assigned#

New

Implements AI-enabled solutions utilizing machine learning, generative AI, agentic AI, vector search, and other emerging technologies to solve business challenges * Other duties as assigned Education ...

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Infographic showing various Weekend Machine Learning job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Tulsa, OK • On-site

Full-time

This job post has expired 1 day ago. 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