Machine Learning Engineer

Bamboo X; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Job summary

An established industry player is seeking a visionary Lead AI/ML Engineer to drive the development of innovative machine learning solutions. In this pivotal role, you will lead the creation of advanced ML models, ensuring they meet architectural best practices and industry standards. You'll collaborate with cross-functional teams to deliver impactful AI solutions, while also mentoring a talented group of engineers. This opportunity allows you to shape the AI/ML strategy and represent the company in academic and industry circles, making a significant impact on real-world applications.

Qualifications

• 10+ years of experience in developing and deploying ML models end-to-end.
• Strong software engineering skills with the ability to write clean, efficient, and scalable code.

Responsibilities

• Lead the development of state-of-the-art ML/AI systems for high-impact problems.
• Provide technical leadership and mentorship to a team of research engineers.

Skills

Machine Learning

Artificial Intelligence

Software Engineering

Data Mining

Computer Vision

Natural Language Processing

Statistical Modeling

Education

MS/PhD in Computer Science or related field

Tools

AWS

Azure

Google Cloud

Job description

This range is provided by Bamboo X. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Direct message the job poster from Bamboo X

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Technology, Information and Media

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