AI Quality ML Ops Software Engineer

at  NVIDIA

ML Ops covers a large scope, this role will focus on merging operational industry standards for assembling, organizing, and using training and evaluation data from both expert and open sources and building ML Ops infrastructure to manage, leverage, and refine quality from feedback in a domain with a high bar for expertise that requires curation of top-quality training and validation data.

What you’ll be doing:

• Identity and leverage research and applied techniques to advance our small scale high quality data into repeatable practices for synthesizing training data at scale
• Building infrastructure and working with industry leading researchers to validate and bootstrap better base and fine tuned models.
• Incorporate reinforcement learning feedback from end users and technical authorities into actionable, trainable data.
• Define and implement data transform, quality assessment, synthesis, and curation of data for evaluation, retrieval augmentation, and validation of quality, performance, and other scoring mechanisms used to monitor and refine the process.

What we need to see:

• BS or equivalent experience in Computer Science or a related field.
• 3+ years ML Ops or equivalent practice coordinating multiple data sources and pipelines
• 5 years applied ML in an engineering or research capacity
• Recent familiarity with Synthetic Data Generation (SDG) and data collection/quality/training methodologies.

Ways to stand out from the crowd:

• Familiarity with writing CUDA or other accelerated computing technologies.
• 5+ years applied research, advanced research in data synthesis, data science, statistics. Experience targeting multiple accelerated computing platforms.
• Familiarity with; sub-disciplines like RAG and data corpus management/RAG-Ops.

With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are enthusiastic about empowering new programmers to excel and experienced accelerated computing users to redefine an industry, this is the role for you!
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and
benefits
. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

• Identity and leverage research and applied techniques to advance our small scale high quality data into repeatable practices for synthesizing training data at scale
• Building infrastructure and working with industry leading researchers to validate and bootstrap better base and fine tuned models.
• Incorporate reinforcement learning feedback from end users and technical authorities into actionable, trainable data.
• Define and implement data transform, quality assessment, synthesis, and curation of data for evaluation, retrieval augmentation, and validation of quality, performance, and other scoring mechanisms used to monitor and refine the process