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AI Research Engineer (Remote - US)

AI Research Engineer (Remote - US)

JobgetherUS
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Research Engineer in the United States .

As an AI Research Engineer, you will play a pivotal role in advancing the development of cutting-edge AI models applied to drug discovery and therapeutics. You will collaborate closely with AI scientists, engineers, and domain experts to design, implement, and deploy innovative models that accelerate the identification of novel therapies. This role offers the opportunity to work at the intersection of AI, biology, and healthcare, contributing to transformative solutions with global impact. You will be part of a multidisciplinary team in a fast-paced, research-driven environment, with a focus on solving complex problems and delivering production-ready AI solutions. The position supports both remote work and on-site collaboration, providing exposure to diverse technical challenges and opportunities for professional growth.

Accountabilities

  • Develop, implement, and deploy AI and machine learning models for applications in drug discovery and therapeutic development.
  • Collaborate with interdisciplinary teams including AI scientists, engineers, and life science experts to translate scientific questions into computational solutions.
  • Conduct research on advanced machine learning and deep learning techniques, applying them to real-world biomedical datasets.
  • Optimize model performance and scalability, ensuring robust, reproducible, and production-ready solutions.
  • Analyze complex data, evaluate alternative approaches, and provide actionable recommendations based on findings.
  • Communicate research results and technical insights effectively to both technical and non-technical stakeholders.
  • Contribute to publications and presentations at top AI and machine learning conferences to share findings and innovations.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees preferred.
  • Minimum of 2 years of professional experience in AI, machine learning, or related fields, with proven success in production deployment of models.
  • Strong programming skills, particularly in Python, with experience using relevant AI frameworks and libraries.
  • Solid understanding of deep learning fundamentals, neural network architectures, optimization techniques, and evaluation metrics.
  • Familiarity with drug discovery, computational biology, or bioinformatics is highly desirable.
  • Excellent problem-solving abilities and attention to detail, with a passion for tackling complex healthcare challenges.
  • Effective collaboration and communication skills for working in fast-paced, multidisciplinary teams.
  • Experience working cross-functionally, evaluating alternative solutions, and navigating trade-offs.
  • Publication record in reputable AI / ML conferences (e.g., NeurIPS, ICML, ICLR) is a plus.

    • Benefits

  • 💻 Flexible Work Environment : Remote work options available across supported locations.
  • 💰 Competitive Compensation : Base salary range $160,000 – $240,000, plus potential bonus and equity.
  • 🏥 Comprehensive Healthcare : Access to medical, dental, and vision coverage.
  • 🌴 Paid Time Off : Vacation and sick leave to support work-life balance.
  • 📈 Professional Development : Opportunities to collaborate with leading experts and advance your career.
  • 🤝 Inclusive Culture : Join a diverse, mission-driven team focused on improving human health globally.

    • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the three candidates who best match the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are managed by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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    Ai Research Engineer • US