Machine Learning Engineer, GenAI Technology
About the role
A career with Point72's Technology team means joining a dynamic, forward-thinking environment where innovation and excellence are at the core of everything we do. Our team is dedicated to pushing the boundaries of what's possible in AI/ML, collaborating closely with data scientists, engineers, and product teams to develop and integrate cutting-edge solutions into our products.
Responsibilities
- Develop and maintain scalable AI/ML architectures and systems.
- Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.
- Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems.
- Stay abreast of the latest advancements in AI/ML technologies and methodologies.
- Ensure compliance with industry standards and best practices in AI/ML.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3-7 years of experience in AI/ML engineering, with a proven track record of successful project delivery.
- Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in programming languages such as Python, Java, or C++.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Commitment to highest ethical standards.
Qualifications
- Experience with enterprise agile methodology.
- Knowledge of software development lifecycle and agile methodologies.
- Experience with cloud platforms (AWS, Azure, Google Cloud).
- Experience with database management systems (SQL, NoSQL).
Skills
- Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn.
- Programming Languages: Python, Java, C++.
- Software Development Lifecycle: Agile methodologies, DevOps.
- Cloud Platforms: AWS, Azure, Google Cloud.
- Database Management Systems: SQL, NoSQL.
Benefits
- Fully-paid health care benefits.
- Generous parental and family leave policies.
- Mental and physical wellness programs.
- Volunteer opportunities.
- Non-profit matching gift program.
- Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community.
- Tuition assistance.
- 401(k) savings program with an employer match.
Pay
The annual base salary range for this role is $185,000-$300,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from the posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Schedule
Full-time position.