Machine Learning Operations Engineer

Company Description
The Bosch Research and Technology Center North America, with offices in Sunnyvale California, Pittsburgh Pennsylvania and Cambridge Massachusetts, is a part of the global Bosch Group, a company with over 70 billion Euro in revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
As a part of the global research organization, our AI research department in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, and Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions to enable inspiring UX for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.
Our engineering team is looking for an experienced MLOps Engineer who is passionate about automating Machine Learning pipelines. Your work will help researchers make breakthroughs in the field of Machine Learning as well as bring new innovations to Bosch business units at scale.
Job Description

• Communicate with research scientists and other customers within Bosch to identify requirements for Machine Learning tools, frameworks, and services
• Build up and maintain scalable infrastructure for training and monitoring large scale foundation models and other ML workloads
• Work with an international team of engineers to develop, maintain, test, and document software tooling and processes for AI use cases
• Provide support and troubleshooting for platform issues to remove roadblocks for researchers

Qualifications
Basic Qualifications:

• Bachelor's Degree in Computer Science, Engineering, or Technical Field
• 3+ years' experience as a software engineer, Machine Learning engineer, or DevOps engineer (Python preferred)
• Monitoring experience, either of ML models specifically (MLFlow) or software in general (Prometheus)
• Orchestration experience (Docker, Kubernetes)
• Experience with at least one major cloud provider and their ML-specific offerings (Azure/AzureML preferred)
• Experience training and deploying deep learning models

Preferred:

• 5+ years' experience as a software engineer, Machine Learning engineer, or DevOps engineer
• Infrastructure as Code and CI/CD experience (Terraform, Flux, Github Actions)
• MLFlow or other MLOps tooling
• Experience training foundation models on HPC infrastructure
• Experience working in an Agile team

Additional Information
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives:

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
For more information on our culture and benefits, please visit:
Culture and Benefits / Bosch in the USA
The U.S. base salary range for this full-time position is $140,000 - $160,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.