Master's or PhD in Computer Science or related field
5+ years of experience in designing and scaling ML systems
Proven track record of innovative contributions in machine learning
Proficiency in Python, C/C++, or similar languages
Experience in building training and inferencing systems at scale
Responsibilities
Define roadmap for content generation using AI
Deliver key business, product, and technology initiatives
Implement processes for model training and operation
Prototype and deliver innovative AI solutions
Collaborate with cross-functional teams to enhance products
Establish a data-driven development culture
Benefits
Medical, dental, and vision insurance for all employees
Flexible PTO policy
Parental leave included
Hybrid work schedule with provided office lunches
Opportunities for professional growth
Be part of a fast-growing startup
Full Job Description
What You'll Do
As a Senior Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations.
How You'll Make an Impact
Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content
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 the Generative AI models at significant scale.
Investigate, prototype and deliver innovative solutions
Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth
Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics
What You Bring
Master's or PhD degree in Computer Science or a related field
Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems.
5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale
Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
Proficiency in Python, C/C++ (or equivalent)
Ability to create self-contained, reusable, and testable modules and passionate about prototyping
Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms
Bonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system
Bonus: Experience working at a high-growth startup or tech company
Publications and research experiences in ML venues and/or vision/language applications are a plus
Location
This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.
Base Salary
The range for this role is $188,000-$200,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
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 your financial wellness
Flexible time off - including parental leave
Well-being programs - resources to support your mental and physical health
Daily lunch & snacks
Mentorship & impact - work closely with top AI leaders on products that ship
