Job Description
AI Engineer (Senior/Staff)
- Title of Role: AI Engineer (Senior/Staff)
- Location: New York, onsite
- Company Stage of Funding: Venture-Backed — Robotics, Hardware, AI
- Office Type: Onsite
- Salary: $180K–$240K
We're representing a stealth startup that is redefining how IT teams operate through innovative applications of AI and robotics. This company is at the forefront of technology, developing cutting-edge solutions that enhance productivity and efficiency in enterprise environments. With a focus on leveraging advanced machine learning techniques, they are poised to make a significant impact in the industry.
What You Will Do
- Design and implement machine learning models using Python and OpenAI technologies to address complex business challenges.
- Collaborate closely with cross-functional teams to integrate AI solutions into existing systems and workflows.
- Conduct experiments to evaluate model performance and iterate on designs based on data-driven insights.
- Optimize algorithms for scalability and efficiency in a fast-paced environment.
- Contribute to the development of robust data pipelines that support machine learning initiatives.
- Mentor junior engineers and share expertise in AI best practices.
Ideal Candidate Background
- 2–8 years of experience in machine learning engineering or a related field.
- Proficiency in Python and experience with OpenAI technologies.
- Strong understanding of machine learning algorithms and data structures.
- Proven ability to work collaboratively in a team-oriented environment.
Preferred
- Experience with deploying machine learning models in production environments.
- Familiarity with data visualization tools and techniques.
- Knowledge of additional programming languages or frameworks that complement AI initiatives.
Compensation and Benefits
This role offers a competitive base salary of $180K–$240K, along with equity options that reflect the company’s growth potential. The company also provides visa sponsorship and a referral reward program for successful candidate placements.