Sr. Staff Software Engineer, ML Platform

Davita Inc.; San Francisco (CA); Hybrid; USD 200,000 - 413,000; Full time

Job summary

A leading tech company is seeking a Senior Staff Software Engineer specializing in ML systems. The role involves driving technical strategies, tackling complex problems, and mentoring junior engineers. Candidates should possess extensive knowledge in production ML, distributed systems, and deep learning techniques, alongside a Bachelor's in a related field. This hybrid position allows for flexible work while ensuring effective collaboration both in-person and remotely.

Qualifications

• In-depth experience with production ML and distributed systems.
• Knowledge of modern deep learning techniques and platform engineering.
• Understanding of data governance and lifecycle management.

Responsibilities

• Collaborate with engineers to develop generalized solutions.
• Prototype and investigate latest industry technologies.
• Provide mentorship to junior engineers.

Skills

Production ML use cases

Distributed systems architectures

Big data processing

Deep learning techniques

Performance optimizations

Platform engineering solutions

Education

Bachelor's degree in Computer Science

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

The ML Platform team builds tools and infrastructure that powers 40+ ML & AI applications, including recommendations, ads, visual search, notifications, content understanding, and Trust & Safety. Our team consists of

• ML Training: Training compute platform (including distributed and GPU training), PyTorch-based training environment, model management & deployment.


• ML Serving: Online inference, including large-scale ranking of tens of millions of requests per second. GPU acceleration. ML feature/score monitoring.


• ML Data: Feature and training dataset management. Data governance tools (ownership, lineage, usage tracking, and monitoring) for 400+ signals owned by teams across the company.

We are seeking a Senior Staff Software Engineer to help drive technical strategy across these teams. Our long-term objectives include:

• Enable advanced model architectures - Language models, Multi-modal models, Large embeddings, Large user sequence models - increasingly large models present new challenges for training and serving


• Improve system efficiency - GPU efficiency and overall cost management often goes hand in hand with more sophisticated model architectures.


• Increase developer velocity - solve major bottlenecks in development of large-scale ML systems to speed up iterations of ML features and models.

What you'll do:

• Tackle ambiguous problem areas by gathering understanding from modeling and infrastructure engineers across the company, proposing and aligning on generalized solutions, and driving the implementation with a team of platform engineers.


• Prototype, investigate, understand latest technologies from industry and academia and find opportunities to build and deploy them at our scale.


• Identify and collaborate with ML engineers to help drive forward top business-impacting ML application projects.


• Provide technical mentorship and guidance to junior engineers within the team.

What we're looking for:

• In-depth experience with production ML use cases and systems at scale, including with distributed systems architectures, big data processing (e.g. Spark, Flink), and training.


• Understanding of modern deep learning techniques, performance optimizations and GPUs.


• Experience with, and workflow management.


• Understanding the needs for large ML teams collaborating: governing the lifecycle and ongoing quality of features, datasets, models, and tracking the dependencies / lineage.


• Experience in platform engineering - developing solutions for a user base of other engineers.


• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.


• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$200,569—$412,937 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.