Engineer Distinguished - AI Generative Systems | Remote WFH at Get It Recruit - Information Technology

Job Overview

Join our innovative team as a Distinguished Engineer in Generative AI Systems, where you will contribute to our mission of developing trustworthy, reliable, and human-centered AI solutions that enhance the banking experience. Your expertise will be pivotal in establishing the foundational elements of our enterprise AI capabilities, working on projects that leverage cutting-edge machine learning technologies.

Key Responsibilities

• Infrastructure Design: Architect resilient systems capable of sustaining long-duration, large-scale training tasks, ensuring operational reliability amidst individual node failures.
• Model Serving: Build an infrastructure designed for the efficient deployment of extensive machine learning models within our public cloud architecture.
• Cluster Deployment: Implement large training clusters, optimizing both storage and networking systems while utilizing various parallelism techniques for training pipelines.
• Performance Benchmarking: Develop and execute benchmarks to assess AI systems’ performance, offering informed recommendations on technology choices.
• Application Development: Design and implement applications that incorporate large language models (LLMs) and foundation models (FMs).
• MLOps Support: Create and enhance capabilities that facilitate MLOps processes for foundation models, ensuring a streamlined model lifecycle from development to deployment.
  
  

Required Skills

• Proven expertise in constructing and managing distributed computing environments.
• Proficiency in AI and ML algorithm development using Python or C/C++.
• Comprehensive understanding of the end-to-end machine learning development lifecycle.
• Strong background in public cloud environments and relevant AI/ML frameworks.
• Familiarity with MLOps principles and methodologies.
• Excellent problem-solving and analytical skills.
  
  

Qualifications

• A Bachelor's degree in Computer Science, Computer Engineering, or a related technical field is required.
• At least 7 years of experience in designing distributed computing systems and large-scale machine learning applications.
• A minimum of 5 years of experience in developing AI and ML algorithms.
• At least 3 years of involvement with the complete machine learning development lifecycle.
  
  

Career Growth Opportunities

Joining our organization means immersing yourself in a culture that fosters professional development and innovation. You will have the opportunity to collaborate with industry leaders, gain new skills, and advance your career within a dynamic work environment that values growth and learning.

Company Culture And Values

We are dedicated to creating a diverse and inclusive work environment that embraces all individuals. Our commitment to equity ensures that every qualified applicant is considered for employment regardless of their background. We believe in the power of a diverse workforce to drive creativity and innovation.

Networking And Professional Opportunities

This role offers numerous opportunities for networking and collaboration within the AI and banking communities. Engage with peers and industry experts, enhancing your professional profile while contributing to impactful projects.

Compensation And Benefits

We offer a competitive salary reflective of your experience and location, with a salary range for San Francisco, CA, between \(291,100 - \)332,300 for full-time positions. Additionally, you will be eligible for performance-based incentives, including cash bonuses and long-term incentives. Our comprehensive benefits package supports your overall well-being, covering health, financial, and other essential benefits, with eligibility dependent on your employment status.

Employment Type: Full-Time