Senior Staff Software Engineer, Machine Learning, ML Training

Google; Town of Montana (WI); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health/dental/vision

401(k) match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google is seeking a Senior Staff Software Engineer to lead ML training initiatives for large-scale cloud models. Based in Kirkland/Seattle areas, you will own ML framework design, training pipelines, and system-level performance for LLMS and diffusion workloads.

Expect leadership across teams and substantial impact on Google Cloud AI capabilities. You will guide architecture, drive robust ML infrastructure, and collaborate with product teams to deliver scalable solutions.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience (Python).
• 7 years leading technical project strategy, ML design, and working with ML infrastructure.
• 5 years with one or more: speech/audio, reinforcement learning, ML infrastructure, or ML field specialty.
• 5 years of design and architecture; testing/launching software products.

Responsibilities

• Build and deliver ML frameworks to perform training at LLMS and stable diffusion models for Google Cloud customers.
• Design and implement AI frameworks software for ML workloads in the cloud for language modeling, stable diffusion, rankings, and recommendations.
• Identify and resolve issues in software, performance, and topology.
• Work closely with software engineers, product managers, and other engineering teams to deliver high-quality products and features.
• Design, develop, test, deploy, maintain, and improve software.

Skills

Python

ML design

Model deployment

Leadership

Education

Bachelor's degree

Master's degree

Tools

PyTorch

JAX

GCP

GKE

Job description

Senior Staff Software Engineer, Machine Learning, ML Training

Locations: Kirkland, WA, USA; Seattle, WA, USA; +2 more; +1 more

Level : Advanced

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Benefits

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US-based employees. Benefits for this role include:

• * Health, dental, vision, life, disability insurance


• * Retirement Benefits: 401(k) with company match


• * Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment


• * Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance


• * Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks


• * Baby Bonding Leave: 18 weeks


• * Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

Minimum Qualifications

• * Bachelor's degree or equivalent practical experience.


• * 8 years of experience in software development (e.g., Python).


• * 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).


• * 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.


• * 5 years of experience with design and architecture; and testing/launching software products.

Preferred Qualifications

• * Master's degree or PhD in Engineering, Computer Science, or a related technical field.


• * 8 years of experience with data structures and algorithms.


• * 5 years of experience in a technical leadership role leading project teams and setting technical direction.


• * Experience with ML modeling and scaling.


• * Experience with large scale distributed systems or machine learning systems (Training for LLM, image generation).


• * Experience with building cloud-based services, including with GCP.

About the Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google's revolutionary Cloud TPUs were designed from the ground up to accelerate machine learning workloads, providing the computational power to train and run machine learning models in a fraction of the time and cost conventionally required. With the new Google Cloud Platform (GCP) Cloud TPU service and Google Kubernetes Engine (GKE) support, it's easy to take your existing ML workloads on leading ML frameworks (PyTorch and JAX) and move them to the cloud to take advantage of this great capability. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary : $262,000 - $364,000 (USD) + 25% bonus target + equity + benefits.

Learn more about benefits at Google.

Responsibilities

• * Build and deliver ML frameworks to perform training at LLMS and stable diffusion models for Google Cloud customers.


• * Design and implement AI frameworks software for ML workloads in the cloud that enables models for language modeling, stable diffusion, rankings, and recommendations, etc.


• * Identify and resolve issues in software, performance, and topology.


• * Work closely with software engineers, product managers, and other engineering teams to get high-quality products and features through the software project lifecycle.


• * Design, develop, test, deploy, maintain, and improve software.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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Google is a global company, and in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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