Machine Learning Engineer

Senior ML Engineer Position – San Francisco (Hybrid/Flexible)

Introduction:

We are seeking a talented Senior ML Engineer to join our team and lead pioneering projects in data-centric AI. This role offers the chance to develop cutting-edge tools that diagnose and correct dataset issues, enhancing the reliability and performance of AI models across various industries.

About the Company:

Our company, a MIT/ Berkeley spinout, has quickly emerged as a significant player in AI technology. We develop advanced data-centric AI solutions, including no-code SaaS enterprise solutions that help identify and rectify dataset issues. Our founders bring a wealth of experience from top organizations, and our mission is to streamline the way AI systems interact with real-world, messy data.

About the Role:

The Senior ML Engineer will play a crucial role in our dynamic startup environment. This position involves handling text, image, and structured data from diverse industry sectors and developing scalable modeling infrastructures. Candidates should be well-versed in software engineering, MLOps, and contemporary AI technologies, including Generative AI and Foundation models.

What We Can Offer You:

• Competitive salary range of $180,000 to $220,000, plus equity options.
• Premium health, dental, and vision insurance with top-tier options available.
• Annual travel stipend to support work-from-anywhere flexibility and cultural enrichment.
• Stipend for attending relevant conferences to stay abreast of industry advancements.
• Opportunity to work with a team of AI pioneers and industry leaders in a well-funded startup environment.

Key Responsibilities:

• Develop and manage cloud infrastructure for ML projects involving diverse datasets.
• Lead and execute full-cycle Data/AI projects from inception through to production.
• Act as a technical lead within the ML team, promoting innovation in algorithmic approaches to enhance dataset quality.
• Maintain and enhance production code and models in cloud-based environments.

This position is designed for an individual ready to challenge their skills and lead innovative projects that refine the utility and accuracy of machine learning data. Join us in our quest to advance AI technology and achieve our mission of enhancing data quality at a fundamental level.

Relevant Keywords

Senior ML Engineer, data-centric AI, MLOps, cloud infrastructure, Generative AI, Foundation models, data quality, scalable modeling infrastructure, machine learning, SaaS, Python, AWS, GCP, Software Development.