**AI/ML Engineer - Data Intelligence Team
Compensation**
: Competitive base salary, performance-based bonus, and potential carry in the funds
Please note: this is a hybrid role and can be based in either our San Francisco, Menlo Park, or New York City office)
About the Role
We are a leading venture and private equity firm seeking an exceptional AI/ML Engineer to join our Data Intelligence Team. You will collaborate closely with our Funds Investment Team to leverage advanced AI and machine learning techniques to drive investment decisions and enhance portfolio performance. This role is perfect for a talented engineer with a strong interest in finance, even if you lack direct experience in financial services, venture capital, or private equity. It offers an exceptional opportunity to work at the intersection of cutting-edge technology and high-stakes finance, with a compensation package that includes a competitive base salary, performance-based bonus, and carried interest in our funds.
Key Responsibilities
- Develop AI/ML Models : Design, build, and deploy machine learning models to analyze large datasets, identify investment opportunities, and optimize portfolio strategies.
- Data Pipeline Development : Create and maintain robust data pipelines to process structured and unstructured data from diverse sources, ensuring high-quality inputs for AI models.
- Collaboration with Investment Team : Partner with investment professionals to translate business needs into technical solutions, providing actionable insights for deal sourcing, due diligence, and portfolio management.
- Model Optimization : Continuously improve model performance through experimentation, hyperparameter tuning, and feature engineering to ensure accuracy and scalability.
- Research and Innovation : Stay abreast of the latest advancements in AI/ML, applying innovative techniques to enhance the firm’s data-driven investment strategies.
- Cross-Functional Support : Work with data engineers, software developers, and other stakeholders to integrate AI solutions into the firm’s broader technology ecosystem.
Qualifications
- Education : Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Experience : 3+ years of experience in either software engineering or AI/ML engineering, ideally in a data-intensive industry. No prior financial services, venture capital, or private equity experience required - ust a passion for applying your skills to finance!
- Technical Skills :
- Proficiency in Python, R, or similar programming languages.
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Hadoop, Spark, or similar).
- Strong understanding of statistical modeling, natural language processing, and predictive analytics.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data pipeline tools.
- Interest in Finance : A keen interest in financial markets, venture capital, or private equity, with a desire to learn and apply AI/ML to investment strategies.
- Soft Skills : Strong problem-solving abilities, excellent communication skills, and the ability to work collaboratively in a fast-paced, high-stakes environment.
Why Join Us?
- Impactful Work : Play a pivotal role in shaping investment decisions through advanced AI and data intelligence, regardless of prior finance experience.
- Exceptional Compensation : Enjoy a competitive base salary, performance-based bonus, and carried interest in our funds, offering significant upside potential.
- Innovative Environment : Work with a team of top-tier professionals in a dynamic, technology-driven culture.
- Location : Be part of a vibrant tech and finance ecosystem.