Lead Machine Learning Engineer
New York
- Pay
USD 170,000–190,000/year — pay source
Salary 170,000 – 190,000 USD per year Benefits include:
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
Read the full posting
What you’ll work on
Full postingDesign and development of ML evaluation systems for agentic and LLM-based architectures
Translate research ideas into production-grade ML systems with measurable impact
Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions
From the employer’s posting
What you'll do Design and development of ML evaluation systems for agentic and LLM-based architectures Translate research ideas into production-grade ML systems with measurable impact
Design and development of ML evaluation systems for agentic and LLM-based architectures Translate research ideas into production-grade ML systems with measurable impact Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions
Translate research ideas into production-grade ML systems with measurable impact Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions Stay current with advancements in ML, NLP, and LLM systems, contributing actively to technical discussions across teams
What you’ll bring
All qualificationsCore experience
- Deep experience in NLP and modern ML systems, including hands-on experience with LLM-based or agentic systems.
- Experience implementing technical solutions, tackling tough engineering problems to help build our products and a deep passion for Machine Learning.
- Experience building and evaluating agentic systems at scale.
- Familiarity with large-scale ML experimentation, benchmarking, or simulation framework
- Knowledge of techniques for optimizing model architectures for faster inference
- Experience with AWS, CI/CD, Kafka, Athena
Qualification wording
Deep experience in NLP and modern ML systems, including hands-on experience with LLM-based or agentic systems.
Experience implementing technical solutions, tackling tough engineering problems to help build our products and a deep passion for Machine Learning.
Experience building and evaluating agentic systems at scale.
Familiarity with large-scale ML experimentation, benchmarking, or simulation framework
Knowledge of techniques for optimizing model architectures for faster inference
Experience with AWS, CI/CD, Kafka, Athena
Education & alternatives
- Experience implementing technical solutions, tackling tough engineering problems to help build our products and a deep passion for Machine Learning. - A Bachelor’s Degree in CS or other related fields - Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others.
Tools in this posting
- Python
- AWS
- Kafka
- Kubernetes
- Docker
Source — Tool mentions in context
- Deep experience in NLP and modern ML systems, including hands-on experience with LLM-based or agentic systems. - Strong architectural skills, with proven experience designing complex software systems along with production experience with Python, AWS, Kubernetes, and/or Docker. - Experience implementing technical solutions, tackling tough engineering problems to help build our products and a deep passion for Machine Learning.
- Knowledge of techniques for optimizing model architectures for faster inference - Experience with AWS, CI/CD, Kafka, Athena Compensation package also includes a performance bonus on top of the listed salary range
Job description
At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. ASAPP’s AI Engineering team is seeking an enterprising, talented and curious machine learning engineer.
The AI Engineering team is responsible for working closely with the research and modeling teams to create state-of-the-art NLP models for specific tasks, and deploy them in a production setting designed to serve our customers at scale. We are looking for a Machine Learning Engineer to help build and evaluate the core intelligence behind our agentic AI systems. This role will play a key part in designing and owning evaluation frameworks that ensure quality, safety, and performance across complex agentic systems.
This a hybrid role with 10-12 days of in-office presence per month to balance flexibility with collaboration.
What you'll do
- Design and development of ML evaluation systems for agentic and LLM-based architectures
- Translate research ideas into production-grade ML systems with measurable impact
- Partner closely with Research, Product, and Platform teams to productize experiments into robust AI solutions
- Stay current with advancements in ML, NLP, and LLM systems, contributing actively to technical discussions across teams
- Mentor and support other engineers through design reviews, feedback, and knowledge sharing.
What you'll need
- Deep experience in NLP and modern ML systems, including hands-on experience with LLM-based or agentic systems.
- Strong architectural skills, with proven experience designing complex software systems along with production experience with Python, AWS, Kubernetes, and/or Docker.
- Experience implementing technical solutions, tackling tough engineering problems to help build our products and a deep passion for Machine Learning.
- A Bachelor’s Degree in CS or other related fields
- Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others.
- Demonstrate proficiency in the technical mentorship of junior and mid-level engineers, driving the adoption of best practices and ensuring architectural alignment for scalability and extensibility.
What we'd like to see
- Experience building and evaluating agentic systems at scale.
- Production experience with LLM-centric services (e.g., inference, orchestration, evaluation, monitoring)
- Familiarity with large-scale ML experimentation, benchmarking, or simulation framework
- Knowledge of techniques for optimizing model architectures for faster inference
- Experience with AWS, CI/CD, Kafka, Athena
Compensation package also includes a performance bonus on top of the listed salary range
Separately, we also offer a compelling equity grant comprised of stock options
Salary
170,000 – 190,000 USD per year
Benefits include:
Competitive compensation with stock options
Comprehensive medical, vision, and dental insurance
401k matching
Fitness and wellness stipend
Mental well-being benefits
Professional learning and development stipend
Parental leave, including adoptive and foster parents
3 weeks paid time off (increases with tenure) along with sick leave, bereavement and jury duty
ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-AG1 #LI-Hybrid
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 170,000 – 190,000 USD per year Benefits include:
- Location & working pattern
New York
The AI Engineering team is responsible for working closely with the research and modeling teams to create state-of-the-art NLP models for specific tasks, and deploy them in a production setting designed to serve our customers at scale. We are looking for a Machine Learning Engineer to help build and evaluate the core intelligence behind our agentic AI systems. This role will play a key part in designing and owning evaluation frameworks that ensure quality, safety, and performance across complex agentic systems. This a hybrid role with 10-12 days of in-office presence per month to balance flexibility with collaboration. What you'll do
More source context
3 weeks paid time off (increases with tenure) along with sick leave, bereavement and jury duty ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-AG1 #LI-Hybrid Employment type
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 11, 2026
- Recorded sightings
- 24
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Feb 4, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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