Ipro Networks Pte. Ltd.
Machine Learning Engineer, Data
Ipro Networks Pte. Ltd., San Francisco, California, United States, 94199
Overview
Job Title: Machine Learning Engineer, Data
Position Type: Full time
Location: San Francisco, CA, USA
Salary Range: $150,000 - $250,000 (USD)
Job ID#: 158135
We are looking for an ML Engineer with 3+ YOE designing, building, and maintaining data pipelines at scale. The ideal candidate has diverse experience managing data from ingest and processing through storage and training. This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability.
Responsibilities
Lead the efforts to design, implement, and maintain scalable solutions for data warehousing and processing. Capable of providing the right solutions for the evolving needs of our research teams.
Manage and optimize the performance of computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed data processing at scale.
Design data snapshots, ETL pipelines, and storage solutions with a strong focus on data shape and layout to ensure the flexibility required for training.
Collaborate across research teams to understand their data needs and provide appropriate solutions, facilitating seamless model training.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads.
Understands the importance of orchestration tools in ML data workflows, and values engineering processes and version control (CI/CD).
Experience designing, building, and managing large-scale data pipelines for ML; experience with video data is a huge plus.
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 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.
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Position Type: Full time
Location: San Francisco, CA, USA
Salary Range: $150,000 - $250,000 (USD)
Job ID#: 158135
We are looking for an ML Engineer with 3+ YOE designing, building, and maintaining data pipelines at scale. The ideal candidate has diverse experience managing data from ingest and processing through storage and training. This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability.
Responsibilities
Lead the efforts to design, implement, and maintain scalable solutions for data warehousing and processing. Capable of providing the right solutions for the evolving needs of our research teams.
Manage and optimize the performance of computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed data processing at scale.
Design data snapshots, ETL pipelines, and storage solutions with a strong focus on data shape and layout to ensure the flexibility required for training.
Collaborate across research teams to understand their data needs and provide appropriate solutions, facilitating seamless model training.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads.
Understands the importance of orchestration tools in ML data workflows, and values engineering processes and version control (CI/CD).
Experience designing, building, and managing large-scale data pipelines for ML; experience with video data is a huge plus.
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 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.
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