At a Glance
- Tasks: Lead the design and implementation of innovative machine learning systems.
- Company: Join Layer 6, a leader in machine learning innovation.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Dynamic team with opportunities for professional growth.
- Why this job: Shape the future of machine learning and make a real impact.
- Qualifications: BSc+ in relevant field and extensive programming experience required.
The predicted salary is between 123750 - 151250 $ per year.
Shape the future of machine learning at Layer 6 as a Lead Machine Learning Product Engineer. Drive the design and implementation of data systems to enhance model delivery.
We invite experienced candidates to helm the responsibilities of a Senior Machine Learning Product Engineer.
This role involves coordinating the efforts of the MLPE team, ensuring high-quality standards and innovation in data handling and model operations.
Collaborate effectively with various teams to achieve project objectives.
Key
Responsibilities
- Direct the creation of complex data solutions
- Lead the development of model validation and monitoring systems
- Serve as the primary data delivery expert
- Mentor peers in engineering best practices
- Interact with cross-functional teams on project needs
Requirements
- BSc+ in Computer Science, Math, or related field
- 5+ years of extensive programming experience
- 3+ years developing machine learning production systems
- In-depth knowledge of Big Data technologies
- Proficiency in Scala and Java 8
Drive impactful machine learning solutions and systems with your skills at Layer 6. #J-18808-Ljbffr
Lead Machine Learning Product Engineer in Toronto employer: Layer 6 AI
At Layer 6, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of machine learning. Our vibrant work culture encourages continuous learning and professional growth, offering employees the chance to lead impactful projects while mentoring peers. Located in a dynamic tech hub, we provide unique opportunities to work with cutting-edge technologies and a diverse team dedicated to shaping the future of data solutions.
