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Machine Learning Quant Jobs in Massachusetts (NOW HIRING)

IMC Inc

Machine Learning Engineer

Dorchester, MA

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and ...

Remark

Machine Learning Engineer

Boston, MA

What We're Looking For As a Machine Learning Engineer working on Remark's core platform, you will ... Experience with using qualitative and quantitative data (especially from A/B tests) to make ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. * Experience: * 5+ years of experience in Machine Learning Engineering ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. * Experience: * 5+ years of experience in Machine Learning Engineering ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

... Machine Learning Engineer with advanced expertise to lead development of large language models ... and quantitative scientists who work on collaborative projects both within the center and with ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

... Machine Learning Engineer with advanced expertise to lead development of large language models ... and quantitative scientists who work on collaborative projects both within the center and with ...

Rockstar Games

Senior Machine Learning Engineer

Andover, MA · On-site

$124K - $163K/yr

Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong ... strong quantitative and software background. * Proven track record in building, monitoring, and ...

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All JobsMachine Learning Quant JobsMachine Learning Quant Jobs in Massachusetts

Machine Learning Quant information

See Massachusetts salary details

$57.3K

$130.1K

$214.6K

How much do machine learning quant jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning quant in Massachusetts is $130,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a Machine Learning Quant job?

A Machine Learning Quant is a specialist in quantitative finance who applies machine learning techniques to develop trading strategies, manage risk, and analyze financial data. They leverage statistical models, deep learning, and reinforcement learning to identify patterns in market data and optimize predictions. This role typically involves programming in Python or C++, working with large datasets, and collaborating with traders and researchers. Machine Learning Quants are employed by hedge funds, investment banks, and proprietary trading firms to gain a competitive edge in financial markets.

What are the key skills and qualifications needed to thrive in the Machine Learning Quant position, and why are they important?

To thrive as a Machine Learning Quant, you need strong skills in quantitative analysis, programming (often in Python or C++), statistical modeling, and a solid foundation in applied mathematics, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), financial data platforms, and certifications such as CFA or advanced degrees can be advantageous. Critical thinking, collaboration, and clear communication are key soft skills that enhance effectiveness in working with both technical and non-technical stakeholders. These competencies are crucial for building and validating models that inform high-stakes financial strategies and deliver value in fast-paced trading environments.

What are typical daily responsibilities for a Machine Learning Quant in a financial firm?

As a Machine Learning Quant, your day often involves researching and developing predictive models using large financial datasets, backtesting quantitative strategies, and optimizing algorithms for speed and accuracy. You'll collaborate closely with traders, data engineers, and other quants to implement models in live trading environments and refine them based on performance feedback. Regular activities also include monitoring new data sources, adjusting to changes in the market, and documenting your methodologies for regulatory or team review. This multidisciplinary work environment offers the opportunity to continuously learn and directly impact trading outcomes.

What are the most commonly searched types of Machine Learning Quant jobs in Massachusetts? The most popular types of Machine Learning Quant jobs in Massachusetts are:
What are popular job titles related to Machine Learning Quant jobs in Massachusetts? For Machine Learning Quant jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quant jobs in Massachusetts look for? The top searched job categories for Machine Learning Quant jobs in Massachusetts are:
Machine Learning Quant jobs near you
Infographic showing various Machine Learning Quant job openings in Massachusetts as of May 2026, with employment types broken down into 80% Full Time, 14% Part Time, 3% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $130,143 per year, or $62.6 per hour.

Machine Learning Engineer

IMC Inc

Dorchester, MA

$175K - $250K/yr

Other

PTO

Posted 2 days ago

Job description

Machine Learning Engineer

Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities.

Your Core Responsibilities:

  • Develop large-scale distributed training pipelines to manage datasets and complex models
  • Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
  • Develop libraries to improve the performance of machine learning frameworks
  • Maximize performance in training and inference using GPU hardware and acceleration libraries
  • Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
  • Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
  • Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
  • Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
  • Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Your Skills and Experience:

  • 5+ years of experience in machine learning with a focus on training or inference systems
  • Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
  • Strong engineering skills, including Python, CUDA, or C++
  • Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
  • Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
  • Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
  • Exposure to cloud platforms and orchestration tools
  • A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Salary Range

$175,000 - $250,000 USD

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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