4 months ago

AI Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Experienced research engineer to partner with AI scientists and drug-discovery experts to develop and deploy AI models that accelerate identification and development of novel therapeutics. Translate research ideas into robust production-ready ML solutions with scalability, collaborating across a fast-paced, multidisciplinary biotech team to address healthcare challenges and improve human health.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Collaborate with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate identification and development of novel therapeutics.
•Translate research ideas into robust, production-ready solutions that scale and drive measurable impact in production environments.
•Build and deliver machine learning systems in industry with rigor, scalability, and cross-functional collaboration.
•Apply cutting-edge AI techniques in production settings to address challenges in healthcare and improve human health globally.
•Contribute to a fast-paced, multidisciplinary team, communicating clearly and iterating on models to meet product goals.

Pay and Benefits

Equity and Bonus:Equity

Perks:Annual BonusEquity

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
•Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments
•Expertise with modern deep learning toolchains and experience with large scale model training
•Strong understanding of deep learning fundamentals
•Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences

Experience:5+ yearsBiotechHealthcareAI/ML

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingTeamworkAttention to detail

Languages:English

Tech Stack:Deep learningMachine learningNeural networksProduction

Company Brief

Xaira Therapeutics

Xaira Therapeutics is a biotechnology company developing novel targeted therapeutics using proprietary discovery platforms to address serious unmet medical needs. The company focuses on advancing preclinical and clinical-stage programs toward regulatory approval and commercialization.

Industry: Biotech

Website

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Xaira Therapeutics

4 months ago

AI Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Collaborate with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate identification and development of novel therapeutics.
•Translate research ideas into robust, production-ready solutions that scale and drive measurable impact in production environments.
•Build and deliver machine learning systems in industry with rigor, scalability, and cross-functional collaboration.
•Apply cutting-edge AI techniques in production settings to address challenges in healthcare and improve human health globally.
•Contribute to a fast-paced, multidisciplinary team, communicating clearly and iterating on models to meet product goals.

Pay and Benefits

Equity and Bonus:Equity

Perks:Annual BonusEquity

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
•Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments
•Expertise with modern deep learning toolchains and experience with large scale model training
•Strong understanding of deep learning fundamentals
•Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences

Experience:5+ yearsBiotechHealthcareAI/ML

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingTeamworkAttention to detail

Languages:English

Tech Stack:Deep learningMachine learningNeural networksProduction

Company Brief

Xaira Therapeutics

Industry: Biotech

Website