Engineering Manager - Machine Learning
Are you a passionate leader in the field of machine learning, ready to drive innovation and lead a dynamic team? We are seeking an Engineering Manager specializing in Machine Learning Models to join our tech-forward company located at the heart of technology's future developments - Culver City. This permanent position offers an opportunity for growth while working with some of the brightest minds shaping tomorrow's technologies.
In this role, your mission will be:
- To oversee and guide all stages of advanced machine learning model development.
- Manage cross-functional teams ensuring project timelines are met without compromising on quality or innovation.
- Drive strategic planning and execution within machine-learning initiatives aligning them with broader business goals.
- Have a solid algorithm foundation and rich experience in computer vision or NLP-related tasks
- Be proficient with AIGC algorithms, able to develop AIGC models at scale from inception to business impact.
Skills required include
* Technology Leadership: Direct cutting-edge projects that set industry standards; ability to inspire creativity among team members is essential.
* Machine Learning Expertise: Deep understanding necessary to create models that can learn from vast data sets improving over time autonomously-experience building scalable ML systems is key.
* Communication Skills: Clearly communicate complex technical concepts across different levels including stakeholders outside engineering departments contributing towards coherent strategy implementation throughout divisions.
* Candidates should bring their passion for problem-solving using advanced computational techniques as well as their experience leading talented engineers creating breakthrough products powered by AI. Join us if you're excited about propelling progress through transformational leadership!
Minimum Qualifications
Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields, with more than 5 years of experience in algorithm research and development, and more than 1 year of experience in team management.