Machine Learning Engineer

Reposted 3 Days Ago
Boston, MA
In-Office
Mid level
Fintech • Payments • Financial Services
The Role
The Machine Learning Engineer will design and maintain ML tools, build intelligent agents, manage CI/CD pipelines, and integrate ML outputs into existing systems.
Summary Generated by Built In

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management.  The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets.  Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.

Approximately 160 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here.

Bracebridge Capital is seeking a full-stack AI/ML Engineer to join the Machine Learning team who will lead and support critical projects aimed at enhancing productivity, automating internal workflows, and deploying machine learning systems at scale. This individual will work on highly-visible initiatives such as managing the Founder’s e-comms workflows and also serve as a bridge between the machine learning team and our IT and software teams. The ideal candidate is deeply technical, highly autonomous, and pragmatic about building modern AI tools in a highly secure, non-cloud environment.

Responsibilities

  • Design and maintain on-prem NLP and ML tools, including a next gen communications integration system, which can automatically triage, prioritize, summarize, and route the Founder’s high-volume of electronic communications
  • Build intelligent agents to suggest and draft email replies, escalate urgent messages, and integrate with Slack and tasking systems.
  • Serve as the technical liaison between the ML team, IT and software development teams.
  • Build and manage web portals, dashboards, API interfaces, servers and databases that expose ML outputs, alerts, and data summaries to non-technical users.
  • Document workflows and integrate tools into existing operational systems with clear interfaces and security controls.
  • Own and operate CI/CD pipelines and containerized environments (Docker, Kubernetes optional) for ML systems and dashboards. Enforce engineering best practices across the ML development lifecycle: version control, testing, model validation, monitoring.
  • Monitor and maintain ML infrastructure and ensure smooth operation of GPU/CPU servers, model runtimes, databases, job schedulers, logs and proactively identify and resolve system issues before they impact users.

Qualifications

  • Bachelor's or Master’s degree in Computer Science, Machine Learning, Applied Math, or related field
  • Minimum of 3 years of professional experience in ML engineering or applied NLP, ideally in a high-stakes, low-latency environment
  • Proficiency in Python and modern ML tooling (e.g., PyTorch, spaCy, Hugging Face, LangChain)
  • Solid backend engineering experience (e.g., FastAPI, Flask, REST APIs, WebSockets)
  • Experience with DevOps: CI/CD (e.g., Azure DevOps, GitHub Actions, Jenkins), Docker, version control
  • Experience managing on-prem infrastructure, including job orchestration, storage, and process scheduling
  • Familiarity with email parsing (e.g., Outlook APIs, IMAP), document summarization, classification, and routing logic
  • Strong communications skills and an eagerness to collaborate across multiple teams within the firm
  • Ability to successfully work error free in a fast paced environment with strong understanding of prioritization.

Current anticipated annual base salary range: $115,000 - $150,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

Top Skills

Azure Devops
Docker
Fastapi
Flask
Github Actions
Hugging Face
Jenkins
Langchain
Python
PyTorch
Spacy
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Boston, Massachusetts
164 Employees
Year Founded: 1994

What We Do

Bracebridge Capital, LLC is a leading hedge fund manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.

Approximately 150 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here

Similar Jobs

WHOOP Logo WHOOP

Machine Learning Engineer

Fitness • Hardware • Healthtech • Sports • Wearables
Easy Apply
Hybrid
Boston, MA, USA
500 Employees
125K-170K Annually

Chewy Logo Chewy

Machine Learning Engineer

eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Hybrid
Boston, MA, USA
20000 Employees
141K-194K Annually

Capital One Logo Capital One

Lead Machine Learning Engineer

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
4 Locations
55000 Employees
176K-241K Annually

Capital One Logo Capital One

Lead Machine Learning Engineer

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
3 Locations
55000 Employees
193K-241K Annually

Similar Companies Hiring

Camber Thumbnail
Social Impact • Healthtech • Fintech
New York, NY
53 Employees
Rain Thumbnail
Web3 • Payments • Infrastructure as a Service (IaaS) • Fintech • Financial Services • Cryptocurrency • Blockchain
New York, NY
40 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account