Applied Machine Learning Engineer
Hybrid (New York, NY), Hybrid (San Mateo, CA)$170k - $240kPosted 11mo ago
About the role
Applied ML Engineer role bridging cutting-edge AI research and real-world applications. Hands-on engineer focusing on developing, fine-tuning, and operationalizing ML models to drive business value and improve user experiences.
Responsibilities
- Customer Success: Collaborate with GTM team to ensure smooth integration and successful deployment of ML solutions.
- Demo / Proof of Concept (PoC): Build and present PoCs demonstrating capabilities of our AI technology.
- Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
- Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.
- New Model Enablements: Integrate and enable new machine learning models into the platform or client environments.
- Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.
- Partnership Enablement: Work with partners to enable joint AI solutions and ensure seamless collaboration.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
- Robust coding skills, preferably Python.
- Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
- Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Skills
Required:PythonSoftware engineeringCommunication
Benefits
- Total compensation includes meaningful equity and comprehensive benefits package.
- Base salary range: $170,000—$240,000 USD (Plus Equity).
Last updated Jul 29, 2026. Interested? Apply on the company site.
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