Job Description

Job Title: Staff AI/ML Engineer

Location: San Francisco - Onsite

Department: Machine Learning/AI

Employment Type: Full-time

What You Will Do

We are looking for a highly experienced and visionary Lead AI/ML Engineer to join our clients team and spearhead the development of cutting-edge machine learning and AI solutions. In this role, you will:

• Lead the development and delivery of state-of-the-art ML/AI systems that solve the most challenging and high-impact problems faced by our customers.
• Design and scale distributed applications , making thoughtful architectural trade-offs and employing both synchronous and asynchronous design patterns to ensure reliability, scalability, and performance.
• Build and deploy advanced ML models , including large language models (LLMs), for complex web applications, ensuring compliance with architectural best practices and industry standards.
• Provide technical leadership and mentorship to a team of research engineers, helping them apply advanced ML techniques to critical business problems.
• Own the entire ML model lifecycle , from data sampling and feature engineering to model training, evaluation, deployment, and monitoring at scale.
• Represent our innovations in academic and industry communities through publications, talks, and other engagements that highlight our data products and scientific expertise.
• Collaborate cross-functionally with product, engineering, and data teams to deliver impactful AI solutions that drive real business outcomes.

Your Background

• MS/PhD in Computer Science , Engineering, or a related technical/quantitative discipline — or equivalent practical experience.
• 10+ years of industry experience in developing and deploying machine learning models end-to-end, including model training, evaluation, and scaling in production environments.
• 8+ years of experience in machine learning and artificial intelligence, with a deep understanding of ML algorithms and solution architecture.
• 8+ years of experience working with large-scale machine learning systems, both in terms of operational and model complexity.
• 5+ years of expertise in at least one of the following domains:
• Computer Vision
• Image Processing
• NLP / LLMs
• Statistical Modeling / Inference
• Graph or Geometric Deep Learning
• Generative AI
• Data Mining
• Proven experience in deploying ML/AI applications on cloud platforms such as AWS, Azure, or Google Cloud .
• Strong software engineering skills with the ability to write clean, efficient, and scalable code.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Why Join Them

• Work on impactful problems at the intersection of AI and real-world applications.
• Be part of a highly collaborative, experienced, and innovative team.
• Opportunity to shape the direction of our AI/ML strategy and roadmap.
• Represent the company in industry-leading conferences and academic circles.

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