2 months ago
Base Salary
$190k - $234k/yr
Responsibilities
- Define the roadmap for generating various content types including text, image, audio, and video.
- Own the delivery of key business, product, and technology initiatives across design, specification, development, testing, and launch.
- Establish and implement processes for model training, fine-tuning, testing, and operating Generative AI models at scale.
- Investigate, prototype, and deliver innovative solutions.
- Collaborate with engineers, product, and business teams to identify new ways to improve products and drive growth.
- Establish a data-driven development culture by defining and tracking metrics.
Requirements
- 10+ years of experience designing, building, and scaling systems for machine learning.
- Master’s or PhD degree in Computer Science or a related field.
- Experience with building and evolving ML training and inferencing systems at scale.
- Proven track record of innovation in machine learning, demonstrated by publications or projects.
- Proficiency in Python, C/C++, or equivalent programming languages.
- Ability to create reusable and testable modules and a passion for prototyping.
- Prior experience with AzureML, GCP Vertex, AWS Sagemaker, or similar platforms.
- Bonus: Hands-on experience deploying and tuning Generative AI models.
Benefits
- Competitive compensation including salary, equity, and 401(k).
- Full medical, dental, and vision insurance for you and your family.
- HSA and FSA options to support financial wellness.
- Flexible time off including parental leave.
- Well-being programs to support mental and physical health.
- Daily lunch and snacks.
- Mentorship opportunities with top AI leaders.