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Machine Learning Engineer Starting Jobs in Springfield, MA

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 ...

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123K - $162K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is developing industry-leading AI and machine learning capabilities to improve ...

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

The Senior Data Engineer is responsible for the delivery of a business need end-to-end starting ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

AI/ML Software Engineer P2 (Onsite)

East Hartford, CT · On-site

$68.90 - $131.10/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with the AI/ML team to develop and apply novel machine learning frameworks and methodologies supporting the design and evaluation of turbine components for the Hot Section Engineering ...

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Showing results 1-20

Machine Learning Engineer Starting information

See Springfield, MA salary details

$31.4K

$128.3K

$192.8K

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

As of Aug 13, 2026, the average yearly pay for machine learning engineer starting in Springfield, MA is $128,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $154,500.00 per year, depending on experience, location, and employer.

What are entry-level machine learning engineer jobs?

Entry-level machine learning engineer jobs typically involve developing and testing machine learning models, often requiring knowledge of programming languages like Python and familiarity with frameworks such as TensorFlow or PyTorch. These roles usually require a bachelor's degree in computer science, data science, or related fields, and may include tasks like data preprocessing, model evaluation, and collaboration with data teams.

Machine Learning Engineer

Bespoke Labs

Springfield, MA • On-site

Full-time

Re-posted 26 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