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Senior Machine Learning & AI Engineer

Balyasny Asset Management L.P.
New York, NY Full Time
POSTED ON 8/5/2025 CLOSED ON 9/3/2025

What are the responsibilities and job description for the Senior Machine Learning & AI Engineer position at Balyasny Asset Management L.P.?

About Longaeva Partners

Longaeva: Pronounced “long-AY-vuh”, our name is rooted in meaning! We are named after one of the oldest and most resilient living species, the longaeva pine. It represents longevity, adaptability, and persistence. It thrives in extreme conditions and has adapted for thousands of years in harsh environments. We hope to do the same, delivering positive, risk-adjusted returns to our investors in harsh and varied market conditions. We are a New York based hedge fund with a global investment mandate focusing on long duration investing across long/short public equities and late-stage private deals. Peter Goodwin is our founder and CIO, bringing almost 20 years of investing experience across the healthcare, consumer and TMT sectors. We are a high conviction, ideas driven firm built on a foundation of high performing product specialists and an intense commitment to primary research and data.


As an AI/ML Engineer, you will play a critical role in developing and implementing advanced AI and machine learning solutions to optimize our investment processes and technology infrastructure. You will collaborate with cross-functional teams to identify opportunities for process improvements and leverage AI/ML technologies to drive significant impact across the organization.


Key Responsibilities:

  • Tool Development: Design, develop, and deploy AI/ML-driven tools and applications to support investment decision-making and enhance operational efficiency.
  • Process Improvements: Analyze existing processes and identify areas where AI/ML can be applied to improve accuracy, speed, and efficiency.
  • Technology Infrastructure: Work with IT and data teams to build and maintain robust technology infrastructure that supports AI/ML initiatives.
  • Performance Optimization: Continuously evaluate and refine AI/ML models and algorithms to ensure optimal performance and alignment with business goals.
  • Collaboration: Partner with portfolio managers, analysts, and other stakeholders to understand business needs and translate them into technical solutions.
  • Research and Innovation: Stay abreast of the latest developments in AI/ML technologies and identify innovative approaches to enhance our competitive edge.


Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degrees are preferred.


Experience: Minimum of 4-10 years of experience in AI/ML engineering, preferably within tech company


Technical Skills:

  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of data structures, algorithms, and statistical methods.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity and interest in latest LLM technologies and libraries (e.g Llama-index, Langchain, OpenAI API).
  • Familiarity working with Vector Databases and/or Knowledge Graphs preferred.


Soft Skills:

  • Strong problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Demonstrated ability to manage multiple projects and meet deadlines.


Core Values Alignment: A strong alignment with our core values of creativity, a sense of urgency, humility, continuous learning, excellence, and innovation.


With respect to NY and CA based applicants, the starting base pay range for this role is between $150000 and $200000 annually. The actual base pay is dependent upon several factors, including, but not limited to, relevant experience, business needs and market demands. This role may also be eligible for bonus compensation and employee benefits.

Salary : $150,000 - $200,000

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