Raydar Inc
About the Role
We are seeking exceptional
ML/NLP engineers
to join a fast-growing AI startup tackling fundamental problems in LLM-based code generation, document understanding, context synthesis, and intelligent agents. The ideal candidate will bring a strong background in machine learning or NLP from research or industry experience, coupled with the drive to push innovation forward. This role is open to a wide range of candidatesfrom strong new graduates to engineers with up to 10 years of experiencewith a sweet spot of 46 years. What Youll Do Build workflows and agentic pipelines for complex analytical workloads. Design evaluation frameworks and carry out evaluations of a query processing engine. Work closely with customers and founders to shape the product and engineering roadmap. Contribute to defining engineering culture and the companys evolving tech stack. Collaborate with a team of experts from top tech companies and leading research backgrounds. What Were Looking For Strong analytical skills and proven ability to tackle challenging NLP problems. Background in
search/retrieval, LLMs, and evaluation pipelines
(a plus). Experience in
startup or fast-paced environments
(highly desirable). Bachelors or Masters degree in Computer Science or a related field. A strong signal of excellence (e.g., top academic program, significant ML/NLP experience). 010 years of experience
as an ML engineer (open to standout new grads). Compensation & Benefits Salary:
$150K $300K Equity:
included in the overall compensation package Visa sponsorship:
available for exceptional candidates Work policy:
On-site role based in San Mateo Tech Stack Core:
Python, PyTorch (or other ML frameworks) LLM Frameworks:
LangChain, Haystack Cloud Platforms:
GCP, AWS Interview Process Culture Fit (30 minutes) ML Technical Screen (30 minutes) Onsite (34 hours)
ML/NLP engineers
to join a fast-growing AI startup tackling fundamental problems in LLM-based code generation, document understanding, context synthesis, and intelligent agents. The ideal candidate will bring a strong background in machine learning or NLP from research or industry experience, coupled with the drive to push innovation forward. This role is open to a wide range of candidatesfrom strong new graduates to engineers with up to 10 years of experiencewith a sweet spot of 46 years. What Youll Do Build workflows and agentic pipelines for complex analytical workloads. Design evaluation frameworks and carry out evaluations of a query processing engine. Work closely with customers and founders to shape the product and engineering roadmap. Contribute to defining engineering culture and the companys evolving tech stack. Collaborate with a team of experts from top tech companies and leading research backgrounds. What Were Looking For Strong analytical skills and proven ability to tackle challenging NLP problems. Background in
search/retrieval, LLMs, and evaluation pipelines
(a plus). Experience in
startup or fast-paced environments
(highly desirable). Bachelors or Masters degree in Computer Science or a related field. A strong signal of excellence (e.g., top academic program, significant ML/NLP experience). 010 years of experience
as an ML engineer (open to standout new grads). Compensation & Benefits Salary:
$150K $300K Equity:
included in the overall compensation package Visa sponsorship:
available for exceptional candidates Work policy:
On-site role based in San Mateo Tech Stack Core:
Python, PyTorch (or other ML frameworks) LLM Frameworks:
LangChain, Haystack Cloud Platforms:
GCP, AWS Interview Process Culture Fit (30 minutes) ML Technical Screen (30 minutes) Onsite (34 hours)