Join Typeface as a Senior ML Engineer to build innovative machine learning models and applications that leverage Generative AI.
Posted by employer 1 year ago
First seen on Joblaze 3 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Define the roadmap for generation of various content types
- Own the delivery of key business, product and technology initiatives
- Establish and implement processes for model training and testing
- Investigate, prototype and deliver innovative solutions
- Collaborate with other engineers and teams to improve products
Must have
- Master’s or PhD degree in Computer Science or a related field
- 5+ years of prior experience designing, building and scaling systems for ML
- Proficiency in Python, C/C++
- Experience with building ML Training and Inferencing systems
Nice to have
- Hands-on experience in deploying and tuning Generative AI models
- Experience working at a high-growth startup or tech company
- Publications and research experiences in ML venues
Practical constraints
- This is a hybrid role based in our Palo Alto HQ
- Collaborate in-office 3 days a week
AI in the day-to-day
You will be responsible for building machine learning models/systems that deliver the power of Generative AI to our customers.
Requirements
- Experience
- 5+ years
- Education
- Master's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Machine Learning Engineer, the individual will focus on developing machine learning models and web applications that leverage Generative AI for personalized marketing solutions. Key skills include proficiency in Python and experience with cloud platforms like AzureML or AWS Sagemaker, alongside a strong background in building scalable ML systems. This position is ideal for someone with over five years of experience in machine learning, particularly in high-growth tech environments, and a track record of innovation in the field.
Joblaze insights
- Listed 3 days ago — first seen on Joblaze September 25, 2026. Last confirmed on Typeface's careers page September 27, 2026.
- Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
- Starts above 58% of 207 comparable senior ai/ml roles in United States that list Python we track (median $180,000 across 69 companies). See Python salary trends
- Python appears in 52.4% of 552 comparable senior ai/ml roles in United States; Generative AI appears in 1.4% of 552 comparable senior ai/ml roles in United States.
Quick facts
- Is the Senior ML Engineer role remote?
- It's hybrid — Typeface expects some on-site time in Palo Alto, CA.
- What's the salary range?
- Typeface lists $188,000–$200,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior ML Engineer role.
- Where is the role based?
- Typeface is hiring for this position in Palo Alto, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS Sagemaker, AzureML, C/C++, GCP Vertex, Generative AI, Python.
- What seniority level is this role?
- Typeface targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior ML Engineer role at Typeface.
From the original posting
About Typeface
We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
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
Why You’ll Love Working Here
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