MESO SCALE DIAGNOSTICS, LLC. · 3 weeks ago
Senior Artificial Intelligence Engineer
MESO SCALE DIAGNOSTICS, LLC. is focused on enhancing their capabilities at the intersection of traditional software development and artificial intelligence. The Senior Artificial Intelligence Engineer will be responsible for designing and implementing sophisticated retrieval systems, optimizing models for deployment, and building applications that leverage advanced language models.
Innovation ManagementManufacturingTest and Measurement
Responsibilities
Design and implement retrieval-augmented generation (RAG) systems with both semantic and traditional search capabilities
Develop and optimize vector search systems for effective information retrieval
Create data preparation pipelines for model fine-tuning
Execute and evaluate model fine-tuning experiments
Design and test prompt engineering strategies and in-context learning approaches
Build fault-tolerant applications integrating with AWS Bedrock and SageMaker
Implement production-grade Python backends for AI-powered features
Develop evaluation frameworks for RAG and fine-tuning performance
Design and implement knowledge distillation pipelines for smaller, deployable models
Optimize models for on-premise deployment in data center environments
Engineer reasoning capabilities in smaller self-hosted models
Evaluate trade-offs between model size, performance, and reasoning capabilities
Manage model deployment and monitoring in on-premise environments
Qualification
Required
Bachelor's degree in Computer Science or related field is required with a minimum of three years of relevant experience
Master's degree with two years of relevant experience
Ph.D. in relevant field with focus on machine learning, NLP, or related issues
Experience designing and implementing production AI systems, including: Prompt engineering and in-context learning, Retrieval-augmented generation (RAG) systems, Model fine-tuning and evaluation, Knowledge distillation for deployment
Production experience with Python and modern web frameworks
Cloud platform experience, preferably AWS AI/ML services
Deep understanding of: LLM capabilities, limitations, and evaluation methodologies, Vector databases and embedding systems, On-premise model deployment considerations
Demonstrated ability to: Design and optimize production-grade AI systems, Apply systematic, data-driven approaches to experimentation and evaluation, Balance technical constraints with business requirements, Make sound technical decisions in complex situations, Lead technical discussions and present solutions effectively, Collaborate across engineering, research, and business teams
Working knowledge of: Model optimization techniques, Data center operations, Infrastructure-as-code practices
Demonstrated critical thinking and analytical skills, as well as the ability to handle complex situations and demonstrate sound judgment and problem-solving
Excellent communication skills with the ability to organize, present, and articulate ideas both verbally and in writing
Strong cross-functional collaboration skills
Ability to balance model performance with resource constraints
Benefits
Medical, dental, and vision coverage
Prescription benefits
401(k) plan with company matching
Flexible spending accounts
Company-paid short- and long-term disability insurance
Group life and accidental death and dismemberment insurance
Paid vacation
Paid sick leave
Paid holidays
Paid parental leave
Employee assistance program
Fitness club membership contribution
Pet insurance
Identity theft protection
Home and auto insurance discounts
Optional supplemental life insurance
Company
MESO SCALE DIAGNOSTICS, LLC.
Founded in 1995, Meso Scale Discovery (MSD) is a global leader in the development, manufacture, and commercialization of innovative assays and instruments for the measurement of molecules in biological samples.
H1B Sponsorship
MESO SCALE DIAGNOSTICS, LLC. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (14)
2024 (14)
2023 (6)
2022 (10)
2021 (11)
2020 (7)
Funding
Current Stage
Late StageRecent News
Verified Market Research
2025-06-04
2025-02-26
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