As a seasoned expert in your field, with 5+ years of experience, you will collaborate closely with cross-functional teams, identify and prioritize ML investments, and implement and integrate models into various deployment environments. You will design, implement, test, deploy, and maintain ML systems that work securely, reliably, and efficiently at scale. You will champion best practices, processes, and whatever it takes to deliver timely, high-quality solutions for clients.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 5 years of experience in ML development, with a proven track record in scaling production systems
- Deep understanding of natural language processing (NLP) and large language models (LLMs)
- Extensive expertise in Python and machine learning libraries and frameworks
- Experience with acquiring and validating human-labeled data effectively
- Experience with building machine learning pipelines for labeling, sampling, training, evaluation, serving, and monitoring
- Excellent problem-solving skills and the ability to work independently
- Strong communication (especially writing) and team collaboration skills
Preferred Qualifications
- Familiarity with computer vision, multimodal foundation models, and optical character recognition (OCR)
- Proficiency in big data technologies and backend systems
- Experience with cloud services, infrastructure as code, containerization, and workload orchestration
- Extensive experience in operations and management of production environments
What We Offer
- Competitive salary and performance-based bonuses
- Career development and opportunities for learning new technologies
- Flexible work schedule and remote work options
- Working on exciting and ambitious generative AI projects
Our Values
- Put clients first: We always do the right thing for our clients
- Get things done: We deliver timely, high-quality results for our clients
- Write the manual: We are trailblazers who pioneer novel solutions
- Embrace challenge: We use the impediment to action to advance action
- Ignore the ego: We seek the truth above all, freely giving and seeking feedback to grow
- Experiment a lot: We curiously learn from data-driven, economical experiments