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Associate Full Stack Machine Learning Engineer Jobs in Dallas, TX

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 ...

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 ...

Be Seen First

We are seeking a Lead Full-Stack Azure AI Engineer with 8+ years of professional software ... Extensive experience with Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, and Azure ...

New

Be Seen First

We are seeking a Lead Full-Stack Azure AI Engineer with 8+ years of professional software ... Extensive experience with Azure AI Foundry, Azure OpenAI Service, Azure Machine Learning, and Azure ...

New

We are looking for a Full Stack Developer - AI who reflects these values. This role is fully on ... Experience developing AI or machine learning-based software solutions. * Experience within ...

Senior Software Engineers

Dallas, TX · On-site

$121K - $159K/yr

... Data stacks, Machine Learning and advanced custom visualizations. In the recent past, we were ... Full Stack Engineers Experience: 4+ Years of ZeMoSo Equivalent experience Location: Dallas, TX ...

Senior Software Engineers

Dallas, TX · On-site

$121K - $159K/yr

... Data stacks, Machine Learning and advanced custom visualizations. In the recent past, we were ... Full Stack Engineers Experience: 4+ Years of ZeMoSo Equivalent experience Location: Dallas, TX ...

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... Experience in programming language Java and understanding of the software development life cycle

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

We are currently seeking a Full Stack Engineer for our client in the Financial Services domain. We ... technical associates. - Experience with TypeScript, Angular framework. - Experience with Java ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

... full context of property management workflows. This foundation allows us to build context-aware ... Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands ...

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Associate Full Stack Machine Learning Engineer information

See Dallas, TX salary details

$44K

$133.3K

$188.4K

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

As of Jun 22, 2026, the average yearly pay for associate full stack machine learning engineer in Dallas, TX is $133,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $156,300.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Dallas, TX? The most popular types of Full Stack Machine Learning Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Associate Full Stack Machine Learning Engineer jobs? Cities near Dallas, TX with the most Associate Full Stack Machine Learning Engineer 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