Job Title: Machine Learning Engineer, Training Infrastructure
Position Type: Full time
Location: San Francisco, CA, USA
Salary Range: $150,000 - $250, 000 (USD)
Job ID#: 158135

Job Description:

We are looking for an ML Engineer with 3+ YOE in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models. The ideal candidate has diverse experience managing ML workloads at scale, supporting our 3DVAE and video diffusion models. We encourage you to apply even if you don't meet every requirement — we value curiosity, creativity, and the drive to solve hard problems.

Responsibilities

• Design, implement, and maintain scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets.

• Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training.

• Ensure that our infrastructure can handle the resource-intensive tasks associated with training large generative models.

• Monitor system performance and implement improvements to maximize efficiency and utilization, using tools like Airflow for orchestration.

• Collaborate across research teams to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration.

• Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads.

• This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability.

• Values engineering processes and version control (CI/CD).

• Knowledge of containerization technologies like Docker and Kubernetes required for deployments at scale.

• Understanding of distributed training techniques and how to scale models across multi-node clusters aligning with video generation needs.

• Strong problem-solving and communication skills, given the need to collaborate with diverse teams.

About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.

Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.