Machine Learning Engineer (GenAI) — Financial Services

Location: New York, NY

Visa Sponsorship Unavailable

About the Role

A prominent organization in the alternative investment and financial services sector is seeking a Machine Learning Engineer with GenAI expertise to help advance its next generation of intelligent systems. This role is part of a technology group focused on modernizing infrastructure, adopting cutting-edge open-source tools, and driving innovation across the firm’s product ecosystem.

You will work in a collaborative, research-oriented environment where experimentation, rigorous engineering, and continuous learning are core to the culture.

What You’ll Do

Architect, deploy, and refine large-scale machine learning and GenAI models for production use
Partner closely with engineering, data science, product, and compliance teams to embed advanced ML capabilities into platforms and applications
Evaluate emerging frameworks, model architectures, toolkits, and MLOps practices to enhance system performance and reliability
Monitor industry developments in GenAI, deep learning, and applied ML to inform strategic decision-making
Contribute to the design and enforcement of responsible AI practices and quality standards

What We’re Looking For

A degree in Computer Science, Engineering, or a related technical discipline
4–7 years of industry experience building and operationalizing machine learning solutions, including hands-on work with GenAI or large language models
Strong familiarity with modern ML tools such as PyTorch, TensorFlow, or similar frameworks and experience applying them to real-world problems
Experience with the latest LLM stack (Langchain / Langraph / HuggingFace Etc)
Proficiency in one or more production programming languages (e.g., Python, Java, C++)
Ability to break down complex challenges, develop robust solutions, and collaborate effectively with diverse stakeholders
Clear, concise communication skills when explaining technical concepts
A commitment to ethical, secure, and responsible ML development

Benefits

Team members receive a comprehensive package that supports their personal and professional well-being, including:

Fully covered medical benefits
Substantial parental and family leave
Wellness programs that support mental and physical health
Opportunities to participate in community and volunteer initiatives
Support for internal affinity groups
Tuition assistance for ongoing skill development
Retirement savings plan with employer matching

Compensation

The expected annual base salary range for this position is $200,000–$300,000 USD, not including discretionary bonuses or benefits. Actual compensation may differ based on experience, skillset, and location.

Amicus

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