Machine Learning Leadership Position
23 hours ago
Transformative Engineering Manager - AI Innovation
GLO Comms, a tech-forward company in Culver City, is seeking an experienced Engineering Manager specializing in Machine Learning Models to drive innovation and lead a dynamic team.
This permanent position offers opportunities for growth while working with some of the brightest minds shaping tomorrow's technologies.
In this role, you will be responsible for:
- Overseeing all stages of advanced machine learning model development.
- Managing cross-functional teams to ensure project timelines are met without compromising on quality or innovation.
- Driving strategic planning and execution within machine-learning initiatives aligned with broader business goals.
- Having a solid algorithm foundation and rich experience in computer vision or NLP-related tasks.
- Being proficient with AIGC algorithms, able to develop AIGC models at scale from inception to business impact.
Skill requirements include:
- Technology Leadership: Directing 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 communicating 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.
We offer a competitive salary of $**175,000** per year, commensurate with experience. This position requires a 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.
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