Machine Learning Engineer Boston, MA

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 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

A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.

• 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

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Work Authorization

Will you now or in the future require sponsorship for employment? If yes, please specify dates and status

Where are you currently located?

Are you willing and able to relocate to the Boston area for this role as it requires in-office attendance?

Do you have at least 3 years of professional experience in a software development role?

Are you proficient in Python?

List modern ML toolkits you are familiar with (e.g. scikit-learn, pytorch, JAX, Hugging Face, etc.).

Have you worked on enterprise-level or large-scale open-source software projects? If yes, please provide a brief description of your contributions and include a link if the project is open source.

Do you have experience working with large language models (LLMs)?

On a scale from 1 to 5, how would you rate your ability or experience with LLMs?

List the LLM tools and systems you are familiar with (e.g. OpenAI API, langchain, vLLM, etc.).

Do you have experience with parsing text data without using external APIs or services?

Do you have experience managing version and source control, continuous integration / continuous deployment (CI / CD), virtualization and containerization, and automatic execution of processes?

If you answered yes to the previous question, please explain.

Do you have experience working with Azure DevOps or Azure TFS?

Do you have experience with any or all of : email parsing, classification, and routing, document summarization, RAG pipelines? Please detail and explain.

Voluntary Equal Employment Opportunity Questionnaire : Select...

Bracebridge Capital’s policy is to provide equal opportunity for all applicants and employees without regard to race, color, religion / creed, sex (including pregnancy), national origin, ancestry, age, disability, sexual orientation, gender identity or transgender status, military or veteran’s status or any other basis protected by applicable federal, state, or local laws. In compliance with our federal government data collection and reporting requirements, we invite you to complete the optional voluntary self-identification survey below used for compliance with the government regulations and record keeping guidelines. Information provided is used only for government reporting purposes; it is not used in connection with any employment decisions or actions.

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