Senior Machine Learning Engineer - LLM Systems & Evaluation
We are looking for an exceptional Machine Learning Engineer to help shape the next generation of AI systems, with a focus on modern LLM architectures, RAG implementations, autonomous agents and AI safety.
Working hours: overlap until 3 pm US EST is required.
Essential functions
Own machine learning projects from problem definition through implementation.
Design and implement evaluation methodologies for AI and machine learning systems.
Create datasets, benchmarks, and metrics to measure model and product performance.
Evaluate and improve LLM-based systems, including RAG applications, agents, safety systems, and end-to-end AI products.
Analyze model behavior, identify failure modes, and recommend practical improvements.
Build and maintain ML pipelines, tooling, and evaluation infrastructure.
Collaborate with product, engineering, and research teams to translate business goals into measurable ML objectives.
Prototype and iterate rapidly to solve business and product challenges.
Qualifications
5+ years of experience in Machine Learning Engineering or a related field.
Strong Python programming skills and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
Experience training, fine-tuning, or adapting machine learning models.
Experience working with Large Language Models beyond simple API integration.
Experience evaluating AI systems and translating results into actionable recommendations.
Experience building and maintaining machine learning systems and pipelines.
Understanding of retrieval-augmented generation (RAG), agentic systems, and LLM safety concepts.
Would be a plus
Experience designing benchmarks, evaluation frameworks, or automated evaluation systems.
Experience with distributed training or large-scale model inference.
We offer
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
Information on personal data processing
You cannot apply for a position without accepting “INFORMATION ON PERSONAL DATA PROCESSING”
Applications for this job are no longer accepted. Please explore other open opportunities on our platform.
Thank you!
You applied for the position Senior Machine Learning Engineer - LLM Systems & Evaluation successfully. We will get back to you soon. Have a great day!
Something went wrong...
There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to cv@griddynamics.com
Something went wrong...
Please double-check the information filled in the form, and make sure to provide valid data.
Don’t see the right opportunity?
Contact us anyway and let’s talk! To apply, send your resume and cover letter to jobs@griddynamics.com
Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.