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Machine Learning Engineer Associate Jobs in Old Saybrook, CT

Bespoke Labs

Machine Learning Engineer

New Haven, CT

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

New Haven, CT · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Varsity Tutors

Machine Learning Tutor

New Haven, CT · Remote

$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 ...

SynergisticIT

Backend Developer - Remote

New Haven, CT · On-site

$50.75 - $65.75/hr

For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT ...

SynergisticIT

Backend Developer - Remote

New Haven, CT · On-site

$50.75 - $65.75/hr

For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Old Saybrook, CT

Machine Learning Engineer Associate information

See Old Saybrook, CT salary details

$42.1K

$83.8K

$133.8K

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

As of Sep 9, 2026, the average yearly pay for machine learning engineer associate in Old Saybrook, CT is $83,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $96,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are the most commonly searched types of Machine Learning Engineer jobs in Old Saybrook, CT?

The most popular types of Machine Learning Engineer jobs in Old Saybrook, CT are:

What are popular job titles related to Machine Learning Engineer Associate jobs in Old Saybrook, CT?

For Machine Learning Engineer Associate jobs in Old Saybrook, CT, the most frequently searched job titles are:

What cities near Old Saybrook, CT are hiring for Machine Learning Engineer Associate jobs?

Cities near Old Saybrook, CT with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in Old Saybrook, CT as of June 2026, with employment types broken down into 67% Full Time, 31% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $83,795 per year, or $40.3 per hour.

Machine Learning Engineer

New Haven, CT

Bespoke Labs
See more jobs at Bespoke Labsexternal

Full-time

Re-posted 24 days ago

Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems

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