Understanding Recruitment Inc
Machine Learning Engineer
Understanding Recruitment Inc, Boston, Massachusetts, us, 02298
Machine Learning EngineerJoin our innovative team as a
Machine Learning Engineer , where we are at the forefront of revolutionizing hardware engineering with advanced models designed to enhance the design process significantly. Our aim is to autonomously generate cutting-edge hardware designs, pushing the boundaries of efficiency and affordability in the industry.About UsWe are dedicated to transforming hardware design processes, founded by leaders with backgrounds from top-tier institutions and supported by renowned investors. Our team is driven by a mission to streamline hardware design, leveraging expertise from industries intersecting AI and semiconductors.About the RoleAs a
Machine Learning Engineer , you will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for training complex models, optimize both open-source and closed-source models under various constraints, and design innovative search and retrieval algorithms. Your responsibilities will include implementing and evaluating models while addressing challenging engineering constraints like latency and costly model inference.What We Can Offer YouOpportunity to pioneer advancements in hardware engineering through AI integrationCollaborative environment with a focus on innovation and cutting-edge technologyCompetitive salary and comprehensive benefits packageFlexible working hours and potential for remote workProfessional growth opportunities with continuous learning supportChance to contribute to a rapidly expanding field bridging AI and semiconductor industriesKey ResponsibilitiesDevelop and evaluate extensive systems comprising interconnected
LLMs, NLP models, and retrieval algorithms .Structure data appropriately for training complex models.Build and optimize both open-source and closed-source models, considering various constraints.Design and execute innovative search and retrieval algorithms.Create and implement model evaluations.Address challenging engineering constraints such as latency and costly model inference.Relevant Keywords in ItalicsThe ideal candidate should have a
strong understanding of NLP and LLMs , along with
strong proficiency in PyTorch . They should demonstrate a
proven track record of exceptional data engineering and AI capabilities , including
publications in top AI conferences and competitions
and
experience at leading AI companies and research labs . Additionally, experience in
complex ML domains
and a
passion for solving challenging problems and innovating
are crucial.RequirementsStrong understanding of NLP and LLMs.Strong proficiency in PyTorch.Proven track record of exceptional data engineering and AI capabilities.Publications in top AI conferences and competitions.Experience at leading AI companies and research labs.Implemented research papers into production code.Experience in complex ML domains.Passion for solving challenging problems and a hunger to innovate.BonusExperience with code generation models.Background in reinforcement learning.Passion for 0 to 1 challenges and demonstrated drive to excel in the field.This role offers an exciting opportunity to contribute to groundbreaking advancements in hardware engineering while working in a dynamic and collaborative environment. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join us in transforming the future of hardware design.
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Machine Learning Engineer , where we are at the forefront of revolutionizing hardware engineering with advanced models designed to enhance the design process significantly. Our aim is to autonomously generate cutting-edge hardware designs, pushing the boundaries of efficiency and affordability in the industry.About UsWe are dedicated to transforming hardware design processes, founded by leaders with backgrounds from top-tier institutions and supported by renowned investors. Our team is driven by a mission to streamline hardware design, leveraging expertise from industries intersecting AI and semiconductors.About the RoleAs a
Machine Learning Engineer , you will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for training complex models, optimize both open-source and closed-source models under various constraints, and design innovative search and retrieval algorithms. Your responsibilities will include implementing and evaluating models while addressing challenging engineering constraints like latency and costly model inference.What We Can Offer YouOpportunity to pioneer advancements in hardware engineering through AI integrationCollaborative environment with a focus on innovation and cutting-edge technologyCompetitive salary and comprehensive benefits packageFlexible working hours and potential for remote workProfessional growth opportunities with continuous learning supportChance to contribute to a rapidly expanding field bridging AI and semiconductor industriesKey ResponsibilitiesDevelop and evaluate extensive systems comprising interconnected
LLMs, NLP models, and retrieval algorithms .Structure data appropriately for training complex models.Build and optimize both open-source and closed-source models, considering various constraints.Design and execute innovative search and retrieval algorithms.Create and implement model evaluations.Address challenging engineering constraints such as latency and costly model inference.Relevant Keywords in ItalicsThe ideal candidate should have a
strong understanding of NLP and LLMs , along with
strong proficiency in PyTorch . They should demonstrate a
proven track record of exceptional data engineering and AI capabilities , including
publications in top AI conferences and competitions
and
experience at leading AI companies and research labs . Additionally, experience in
complex ML domains
and a
passion for solving challenging problems and innovating
are crucial.RequirementsStrong understanding of NLP and LLMs.Strong proficiency in PyTorch.Proven track record of exceptional data engineering and AI capabilities.Publications in top AI conferences and competitions.Experience at leading AI companies and research labs.Implemented research papers into production code.Experience in complex ML domains.Passion for solving challenging problems and a hunger to innovate.BonusExperience with code generation models.Background in reinforcement learning.Passion for 0 to 1 challenges and demonstrated drive to excel in the field.This role offers an exciting opportunity to contribute to groundbreaking advancements in hardware engineering while working in a dynamic and collaborative environment. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join us in transforming the future of hardware design.
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