... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Kennesaw, GA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Kennesaw, GA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new methods relevant to the problems at hand * Collaborate with university partners and other ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...
... new methods relevant to the problems at hand * Collaborate with university partners and other ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...
Machine Learning Scientist
Alpharetta, GA · On-site
... new methods relevant to the problems at hand * Collaborate with university partners and other ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...
Machine Learning Scientist
Alpharetta, GA · On-site
... new methods relevant to the problems at hand * Collaborate with university partners and other ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Augusta, GA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Augusta, GA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning & Operations Engineer
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Collaborate closely with ML researchers make new algorithms product ready. * More typical DevOps ... Machine Learning, or related roles or relevant degree experience. * Experience with Python and ML ...
Machine Learning & Operations Engineer
Atlanta, GA · On-site +1
$66K - $90K/yr
Collaborate closely with ML researchers make new algorithms product ready. * More typical DevOps ... Machine Learning, or related roles or relevant degree experience. * Experience with Python and ML ...
Machine Learning & Operations Engineer
Atlanta, GA · Remote
$66K - $90K/yr
Collaborate closely with ML researchers make new algorithms product ready. * More typical DevOps ... Machine Learning, or related roles or relevant degree experience. * Experience with Python and ML ...
Machine Learning & Operations Engineer
Atlanta, GA · Remote
$66K - $90K/yr
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Vertex AI Machine Learning Architect
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$62.25 - $80/hr
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Vertex AI Machine Learning Architect
Alpharetta, GA · Remote
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$66K - $90K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Collaborate closely with ML researchers make new algorithms product ready. * More typical DevOps ...
Machine Learning & Operations Engineer
Atlanta, GA · Remote
$66K - $90K/yr
About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Collaborate closely with ML researchers make new algorithms product ready. * More typical DevOps ...
The HCA Healthcare New Grad Residency Program is a year-long program designed to give you hands-on ... learning, clinical application, and socialization, shepherding you through the transition from ...
The HCA Healthcare New Grad Residency Program is a year-long program designed to give you hands-on ... learning, clinical application, and socialization, shepherding you through the transition from ...
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Machine Learning Engineer - South Bank, QLD Apply now Refer a friend Job no: 530695 Brand: Product ... New Zealand Pty Ltd Our People: FCTG is an Equal Opportunity Employer and encourage all suitably ...
Machine Learning Engineer - South Bank, QLD Apply now Refer a friend Job no: 530695 Brand: Product ... New Zealand Pty Ltd Our People: FCTG is an Equal Opportunity Employer and encourage all suitably ...
Machine Learning Engineer 1 or 2
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Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions. • Documentation and Communication: Document ...
Quick apply
Machine Learning Engineer 1 or 2
$110K - $132K/yr
Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions. • Documentation and Communication: Document ...
AI Machine Learning Scientist Location : This role requires associates to be in-office 1-2 days per ... Develops and maintains infrastructure systems that connect internal data sets; creates new data ...
AI Machine Learning Scientist Location : This role requires associates to be in-office 1-2 days per ... Develops and maintains infrastructure systems that connect internal data sets; creates new data ...
Machine Learning / Data Science Engineer
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Machine Learning / Data Science Engineer
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$110K - $132K/yr
Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data ...
New Grad Machine Learning information
What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?
New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.
What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?
To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.
What is the difference between New Grad Machine Learning vs Data Scientist?
| Aspect | New Grad Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related field; some internships | Bachelor's or Master's in CS, Statistics, or related; some experience |
| Work Environment | Entry-level, team-focused, research and development | Data analysis, modeling, cross-functional collaboration |
| Employer & Industry Usage | Tech companies, startups, research labs | Tech, finance, healthcare, consulting firms |
New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.
What are 'New Grad Machine Learning' roles?
New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Georgia? For New Grad Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Georgia look for? The top searched job categories for New Grad Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for New Grad Machine Learning jobs? Cities in Georgia with the most New Grad Machine Learning job openings:
Full-time
Posted 4 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