Machine Learning Engineer

Boston, MA, US • Posted 60+ days ago • Updated 4 hours ago

Full Time

On-site

$110000 - $140000/yr

Fitment

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Job Details

Skills

Recruiting
Financial Services
Finance
Underwriting
Fraud
Scalability
Bridging
Mergers and Acquisitions
Collaboration
Artificial Intelligence
Ideation
Customer Facing
Data Science
Go-To-Market Strategy
Analytics
Use Cases
Python
PyTorch
LangChain
scikit-learn
Pandas
Evaluation
Optimization
Software Engineering
Testing
Continuous Integration
Continuous Delivery
Version Control
CPU
GPU
Workflow
Computer Science
Mathematics
Physics
Open Source
GitHub
Generative Artificial Intelligence (AI)
Research
Machine Learning (ML)
Internet
Professional Development

Summary

Job Overview
We're hiring a full-time Machine Learning Engineer to join an AI technology company in the financial services space. The client builds advanced AI solutions that help financial institutions make smarter, fairer lending decisions across underwriting, fraud detection, and lending intelligence. Their platform supports hundreds of production AI models and focuses on scalability, explainability, and real-world impact.

This role is ideal for engineers who enjoy bridging research and production, taking ownership of complex ML systems, and working closely with cross-functional partners to turn cutting-edge ideas into reliable, customer-facing solutions.

Hybrid or remote in Boston, MA.

Your Role

Collaborate on end-to-end development of ML/AI-powered systems, from ideation through production deployment
Design and prototype experiments using modern ML and GenAI techniques to advance internal tooling and customer-facing capabilities
Partner cross-functionally with product, data science, and go-to-market teams to align ML solutions with business needs
Build internal frameworks and tooling that connect analytics platforms with operationalized models
Stay current on emerging ML and GenAI trends and apply them to practical, high-impact use cases

Required Qualifications

3+ years of hands-on, post-graduation experience building and deploying production ML systems
Strong Python expertise with the ability to build scalable, reliable services and tools
Experience with ML and GenAI frameworks such as PyTorch, Hugging Face, LangChain, Scikit-learn, and Pandas
Solid understanding of core ML and LLM concepts including transformers, embeddings, retrieval, evaluation, and optimization
Familiarity with modern software engineering practices including testing, CI/CD, version control, and code reviews
Ability to write efficient, resource-aware code across CPU/GPU, memory, and I/O constraints
Experience with automation and tooling such as Airflow, GitHub Actions, or containerized workflows
Quantitative degree in Computer Science, Engineering, Math, Physics, or a related field (advanced degrees welcome but not required)

Preferred Qualifications

Contributions to open-source projects in ML, GenAI, or developer tooling
Public GitHub repositories or other visible examples of applied ML work

What Excites You

Designing and deploying GenAI-powered tools that help teams and customers work more effectively
Building platforms that make ML development faster and more accessible
Translating research ideas into production-grade systems
Continuously learning and experimenting with new ML approaches
Solving real-world problems with measurable impact

Compensation & Benefits

Competitive compensation with annual bonus eligibility
Comprehensive medical, dental, and vision coverage
401(k) with generous employer match
Unlimited vacation and paid company holidays
Family leave, wellness, phone, internet, and professional development allowances

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 861045
Posted 30+ days ago

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