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X 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 jobWith 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.
US: $262000 - $364000 (USD) 25% bonus target equity benefits
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 modelsfor 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.
