Senior Machine Learning Engineer
CrestaAbout the role
This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.
This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams
Hiring Company: Cresta
One-liner: Cresta is a $1.6B enterprise AI platform born out of the Stanford AI Lab, transforming how Fortune 500 companies run their contact centers.
Why Join Us:
Role Responsibilities
Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
Optimize ML pipelines and data processing systems to operate efficiently at scale
Qualifications
Required
Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related field
5+ years of hands-on experience building and deploying ML models in production
Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
Familiarity with evaluation and benchmarking frameworks for ML/LLM models
Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions
How can I join Jobright TNT:
If this is your first time applying to a Jobright TNT role, the process works as follows:
- Apply to your first Jobright TNT role
- We review your background to determine if you meet the TNT quality bar
- If qualified, your application is directly recommended to the employer
- Once accepted into TNT, you may be:
- Invited to apply for other exclusive TNT-only roles
- Invited to private, invite-only hiring events with top startups
You will be notified of your TNT selection result.
PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.
Responsibilities
- Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems
- Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation
- Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments
- Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation
- Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability
- Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform
- Optimize ML pipelines and data processing systems to operate efficiently at scale
Qualifications
- Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related field
- 5+ years of hands-on experience building and deploying ML models in production
- Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK)
- Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training
- Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases
- Familiarity with evaluation and benchmarking frameworks for ML/LLM models
- Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions
Skills mentioned
About Cresta
Every hire is two searches - a person looking for the right role, and a company looking for the right person. For two years, Jobright worked only the first one. 2 million professionals now use our AI agent to find roles, sharpen how they show up, and get in front of the people hiring. Earlier this year, we started working the second. Employers can now put Jobright on a role. Our AI recruiter sources from the professionals who already trust us, verifies every candidate is real, and reaches out under a name candidates recognize, which is why they reply. What reaches the hiring team is a list of people worth interviewing, within 24 hours. All they do is interview. Two searches. One platform. Agents on both sides that keep working until both sides say yes.