Notis
Mini tools
We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.
ML Engineer
Typeface
Hybrid
Palo Alto, CA, United States
Full-time
$140,000 -
$180,000
About Typeface
About the Role
As a 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.
Qualifications
Bachelor or Master's 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.
3+ 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.
Bonus: 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.
Bonus: Publications and research experiences in ML venues and/or vision/language applications.
Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems.
3+ 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.
Bonus: 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.
Bonus: Publications and research experiences in ML venues and/or vision/language applications.
Responsibilities
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.
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.
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.
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.
