Cerberus Capital Management · 10 hours ago
AI Engineer
NYC Metro Area
Full-time
Onsite
Entry, Mid Level
$160K/yr - $200K/yrCerberus Capital Management is a growing team of AI specialists working to transform how an alternative investment firm leverages technology and data. As an AI Engineer, you will design, implement, and deploy machine learning systems to enhance decision-making and drive business value across various investment desks and portfolio companies.
FinanceFinancial ServicesImpact Investing
Responsibilities
Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance
Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value
Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value
Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions
Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike
Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems
Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness
Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency
Qualification
Required
Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization
Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains
Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows
Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring
Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems
Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases
Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform
Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents
Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust
Preferred
Experience collaborating with engineering teams to ensure scalable and maintainable deployment
Familiarity with orchestration tools like Temporal
Company
Cerberus Capital Management
Cerberus Capital Management is a private investment firm that focuses on operational private equity investments.
Founded in 1992
501-1000 employees
H1B Sponsorship
Cerberus Capital Management has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (5)
2023 (10)
2022 (8)
2021 (7)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Frank Bruno
Chief Executive Officer, Chief Investment Officer, and Senior Managing Director
Joseph Naccarato
Chief Operating Officer and Chief Credit Officer / Senior Managing Director
Recent News
2026-01-24
capital-riesgo.es
2026-01-20
Company data provided by crunchbase