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AI/ML Engineer

Our mission is to improve health equity by expanding access to cancer precision medicine.


Trial Library, Inc. is a venture-backed startup founded in 2022 on a mission to advance equity in oncology clinical trials. 


We are a diverse team of experts who believe that health equity starts with patient and provider empowerment. We believe that inequities in clinical trial access need to be addressed creatively and intentionally. We believe that inclusive research environments can answer questions that improve health outcomes for all, not just the few who participate in clinical trials. We believe in the power of technology to disseminate high quality health information about clinical trials sustainably. We believe in the power of representation in online health communication.


We are seeking a talented and experienced AI/ML Engineer to join our team. This role will be pivotal in advancing the application of AI and machine learning throughout Trial Library’s suite of solutions to accelerate clinical trial recruitment. This role will play a critical role in enhancing our current use of large language models (LLMs) for abstracting data from clinical trials and medical records. This role will also identify new AI/ML applications to streamline clinical trial matching, improve operational workflows, and optimize decision-making for all stakeholders.


Your Responsibilities
  • Build, train, and deploy AI/ML models to enhance data abstraction, clinical trial matching processes, and other clinical trial-specific applications
  • Conceptualize and prototype new AI/ML-driven products and software features to enhance clinical trial pre-screening and navigation services
  • Design, test, and refine prompts to maximize the performance of LLMs for abstracting data from clinicaltrials.gov and other sources
  • Develop and maintain AI/ML pipelines for integration into production systems
  • Work with healthcare and clinical trial datasets, ensuring compliance with privacy and regulatory standards (e.g. HIPAA)
  • Operate with high levels of autonomy and take end-to-end ownership of AI/ML projects


Your Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
  • Previous startup experience or demonstrated success working in a fast-paced environment
  • 3+ years of experience in AI/ML engineering, with a proven track record of deploying production-grade AI/ML models
  • Strong experience with LLMs (e.g. Claude, GPT, T5, BERT), prompt engineering, and fine-tuning transformer models
  • Experience with healthcare data or clinical trial datasets is a significant plus
  • Strong knowledge of natural language processing techniques and tools
  • Experience with cloud platforms (e.g. AWS, GCP) for model deployment
  • Familiarity with database systems (e.g. PostgreSQL) and data integration pipelines
  • Respect for compliance and privacy requirements in healthcare (e.g. HIPAA)


Our Core Values


1. Ally is our favorite moniker

2. The most inclusive approach is worth the work

3. Celebrate measurable improvements in equity outcomes

4. Fearless advocates for diversity

5. Incentives matter to stakeholders choosing our products

6. Taking initiative is actually giving 

7. We are accountable for the experience of patients and providers

8. Empathy and humility are the real dynamic duo


Trial Library, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.


Average salary estimate

$120000 / YEARLY (est.)
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$100000K
$140000K

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What You Should Know About AI/ML Engineer, Trial Library

Join our innovative team at Trial Library, Inc. as an AI/ML Engineer in San Francisco, CA! We are on a mission to enhance health equity by unlocking access to cancer precision medicine. In this role, you will be instrumental in applying AI and machine learning technologies to boost our clinical trial recruitment processes. You’ll dive deep into large language models to abstract critical data from clinical trials and medical records, bringing your expertise to create cutting-edge solutions that empower both patients and providers. As you design and prototype new AI-driven products, you will also fine-tune and optimize existing applications, making a real difference in the clinical trial landscape. Your responsibilities will include developing and maintaining AI/ML pipelines, ensuring they align with healthcare compliance standards, and working directly with diverse datasets. With a supportive and diverse team backing you, your work will significantly contribute to the goal of meeting equitable health outcomes for all. If you are passionate about using technology to make a difference in people's lives and have a solid background in AI/ML, you may be the perfect fit for this exciting opportunity with Trial Library, Inc. Get ready to innovate and create impactful solutions that enhance healthcare experiences.

Frequently Asked Questions (FAQs) for AI/ML Engineer Role at Trial Library
What are the key responsibilities of an AI/ML Engineer at Trial Library, Inc.?

An AI/ML Engineer at Trial Library, Inc. is tasked with building, training, and deploying AI/ML models aimed at improving clinical trial data abstraction and matching processes. Additionally, the role involves conceptualizing and prototyping AI-driven products and ensuring compliance with privacy standards when working with healthcare datasets.

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What qualifications are required for the AI/ML Engineer position at Trial Library, Inc.?

To qualify for the AI/ML Engineer role at Trial Library, Inc., candidates should possess a Bachelor’s or Master’s degree in fields such as Computer Science or Data Science, along with a minimum of three years of experience in AI/ML engineering. Experience with large language models and healthcare datasets is highly desirable.

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What technologies should an AI/ML Engineer at Trial Library, Inc. be familiar with?

An AI/ML Engineer at Trial Library, Inc. should have strong knowledge of natural language processing tools and cloud platforms like AWS or GCP. Familiarity with AI/ML pipelines, database systems like PostgreSQL, and compliance with HIPAA regulations is also crucial for this role.

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How does Trial Library, Inc. prioritize diversity and inclusion in the AI/ML Engineer role?

Trial Library, Inc. prides itself on being a diverse and inclusive environment, emphasizing equity and representation. The AI/ML Engineer will be part of a team that values phenomenal ideas stemming from diverse backgrounds, ensuring varied perspectives are integrated into our technology-driven solutions.

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What impact does the AI/ML Engineer have on healthcare outcomes at Trial Library, Inc.?

The AI/ML Engineer profoundly impacts healthcare outcomes by streamlining clinical trial processes and enhancing the accessibility of accurate health information. Through innovative AI applications, the engineer plays a vital role in advancing health equity, ultimately improving patient experiences and outcomes in oncology.

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Common Interview Questions for AI/ML Engineer
Can you describe your experience with building and deploying AI/ML models?

Certainly! In your answer, detail the types of models you've worked with, the projects you've successfully completed, and the specific outcomes you achieved. Emphasize any technologies or frameworks you utilized, as well as your problem-solving strategies during deployment.

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How do you approach working with healthcare data while ensuring compliance?

Discuss your understanding of regulations like HIPAA and how you ensure compliance in your work. Provide examples of how you've handled sensitive data and the precautions you've put in place to protect privacy while also delivering value through analysis.

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What strategies do you use to optimize the performance of large language models?

Mention your familiarity with prompt engineering techniques and how you've successfully fine-tuned models to enhance performance. Reference specific instances where you've implemented innovative strategies that yielded improvements.

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Describe a challenge you faced in a previous AI/ML project and how you overcame it.

Share a concrete example where you encountered a technical or project management challenge. Explain the thought process behind your solutions and what you learned from the experience to avoid similar hurdles in future projects.

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How do you stay updated with the latest advancements in AI/ML technologies?

Explain your commitment to continuous learning and professional development. Mention resources like online courses, forums, conferences, or key publications that you regularly follow to stay informed on the evolving AI landscape.

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What experience do you have working with cloud-based services for model deployment?

Discuss specific cloud platforms you've used, detailing instances of deployment and management of AI/ML models in those environments. Highlight best practices you’ve learned and how they improved your projects.

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How do you handle working in a fast-paced startup environment?

Share your experiences with agility and adaptability. Provide examples of how you've effectively managed your time, prioritized tasks, and collaborated with team members in a rapidly changing environment.

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What role does empathy and humility play in your work as an AI/ML Engineer?

Illustrate the importance of empathy in understanding user needs and humility in recognizing that learning is a continuous journey. Discuss how fostering a collaborative environment improves team dynamics and project outcomes.

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Can you give examples of AI/ML applications you've built for clinical trial processes?

Provide specific details about applications you've developed or contributed to, focusing on their functionalities, the problems they solved, and their impact on efficiency in clinical trial processes.

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What is your approach to collaborating cross-functionally with other teams?

Discuss your methods for effective communication and collaboration across diverse teams. Provide examples where cross-functional teamwork led to successful project outcomes and how you navigated any challenges.

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Trial Library is an oncology clinical trials company.

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Full-time, on-site
DATE POSTED
December 23, 2024

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