About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Owensboro, KY · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Owensboro, KY · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... to analyzing the role of prices and product placement in our customers' decision-making. Some of ...
Machine Learning Engineer
Lexington, KY · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Lexington, KY · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Frankfort, KY · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Frankfort, KY · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Finance Analytics & AI Senior Consultant
Louisville, KY · On-site
$111K/yr
... data, automation, machine learning, and generative and agentic AI capabilities * Architect ... Analyze business, functional, and technical requirements and translate them into solution designs ...
Finance Analytics & AI Senior Consultant
Louisville, KY · On-site
$111K/yr
... data, automation, machine learning, and generative and agentic AI capabilities * Architect ... Analyze business, functional, and technical requirements and translate them into solution designs ...
Reporting to the VP, AI and Data, you will own the strategy, roadmap, and delivery of predictive ... Mentor product owners and analysts, grow AI literacy, and cultivate a community of practice that ...
Reporting to the VP, AI and Data, you will own the strategy, roadmap, and delivery of predictive ... Mentor product owners and analysts, grow AI literacy, and cultivate a community of practice that ...
Responsibilities : • Develop and implement machine learning models using established approaches ... and analysis of experiments (e.g., A/B tests, simulations) under guidance • Monitor model ...
Responsibilities : • Develop and implement machine learning models using established approaches ... and analysis of experiments (e.g., A/B tests, simulations) under guidance • Monitor model ...
The ideal candidate will have a passion for using machine learning tools and techniques to ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...
The ideal candidate will have a passion for using machine learning tools and techniques to ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...
Director Data Analyst Machine Learning information
What is the difference between Director Data Analyst Machine Learning vs Data Scientist?
| Aspect | Director Data Analyst Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learning | Bachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills |
| Work Environment | Leads teams, manages projects, strategic planning | Hands-on data analysis, model development, experimentation |
| Employer & Industry Usage | Tech companies, finance, healthcare, retail | Research institutions, tech firms, consulting |
The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.
What are the most commonly searched types of Data Analyst Machine Learning jobs in Kentucky? The most popular types of Data Analyst Machine Learning jobs in Kentucky are:
What are popular job titles related to Director Data Analyst Machine Learning jobs in Kentucky? For Director Data Analyst Machine Learning jobs in Kentucky, the most frequently searched job titles are:
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Full-time
Re-posted 19 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