Machine Learning Engineer

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.