Staff Machine Learning Scientist, Generative AI

| Remote
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Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a highly skilled and innovative Staff ML Generative AI Scientist to join our research and development team. As a Staff ML Generative AI Scientist, you will play a crucial role in designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms specifically tailored for healthcare applications. Your work will contribute to improving patient care, optimizing clinical workflows, and advancing medical research. This position offers an exciting opportunity to leverage the power of generative AI to revolutionize healthcare and make a significant impact on people's lives.

What you'll do:

  • Responsible for developing innovative and practical Generative AI applications for Tempus product line; for example, build LLM-based generative AI agents that solve impactful business challenges at Tempus across all our business units - touching on clinical notes, electronic health records, medical imaging, sequencing data, etc.
  • Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Model/LLMs aligns with strategic company objectives of embedding AI into our product portfolio; bring Large Language Models to demonstrable business impact across all of Tempus’ business areas.
  • Healthcare-focused research, innovation and product development: Continuously explore and evaluate new technologies and methodologies to enhance the technical capabilities of our team, ensuring that we remain at the cutting edge of ML innovation. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Stay up to date with the latest advancements in the field and adapt them to address healthcare-specific challenges, such as medical image generation, drug discovery, patient data analysis, or personalized medicine.
  • Contribute into thought leadership and continue to develop up-to-date knowledge of Generative AI trends and apply this expertise. Establish and drive research opportunities and collaboration with partner organizations. 
  • Model Design and Development: Design and implement generative AI models tailored for healthcare scenarios. Develop models that can generate realistic and high-quality medical images, synthetic patient data, or generate text-based medical reports
  • Experimentation and Evaluation: Design and execute experiments to evaluate the performance and effectiveness of generative AI models in healthcare settings. Develop appropriate evaluation metrics that align with healthcare outcomes and clinical requirements. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
  • Collaborative Teamwork: Collaborate closely with cross-functional teams, including healthcare professionals, data scientists, software engineers, and product managers. Leverage their expertise to guide your research, gain insights into real-world healthcare challenges, and translate your findings into practical solutions.
  • Prototyping and Implementation: Develop prototypes and proof-of-concept implementations of generative AI solutions for healthcare. Work closely with engineering teams to integrate your models into healthcare platforms, systems, or applications. Ensure scalability, efficiency, and robustness of the deployed solutions.
  • Regulatory Compliance and Ethical Considerations: Stay up to date with healthcare regulations, privacy laws, and ethical considerations relevant to the development and deployment of AI in healthcare. Ensure compliance with HIPAA, GDPR, and other applicable standards throughout the development process.
  • Industry Engagement: Stay actively involved in the healthcare and AI research communities. Attend relevant conferences, workshops, and seminars. Publish research findings in reputable scientific venues. Collaborate with academic and industry partners to advance the state-of-the-art in generative AI for healthcare.

Required Qualifications:

  • Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, or a related field. A strong academic background with a focus on generative AI and healthcare applications is highly preferred.
  • 5+ years of industry experience.
  • Strong collaboration and communication abilities.
  • Strong track record in publications, patents, and/or launched products in this space
  • Experience bringing in thought leadership to the product and team. Bias-to-action, appetite for high-risk high-gain projects with a pragmatic approach to rapid and measurable progress.
  • Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, transformer architecture. Extensive experience in developing and implementing generative AI models, such as GANs, VAEs, and related architectures.
  • Experience in applying Large Language Models to practical industry challenges, including strong intuition on where to apply generative AI models versus more traditional models
  • Proficiency in programming languages commonly used in AI research, such as Python and TensorFlow/PyTorch. Experience with healthcare-specific frameworks (e.g., DICOM, FHIR) is a plus.

Preferred/Nice-to have Qualifications:

  • Experience in a late-stage startup environment
  • Experience building and bringing to practical use, knowledge graphs and graph-based machine learning models
  • Expertise with embeddings, multimodal fusion
  • Experience working with sensitive healthcare data, medical imaging modalities, clinical workflows, and healthcare terminology. Familiarity with electronic health records (EHRs) , and medical imaging formats (e.g., DICOM), molecular data is advantageous.


We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Our Redwood City office is located in a waterfront neighborhood at the heart of Silicon Valley, providing convenient access to tech hubs and boasting a thriving business scene. With excellent transport options and a range of dining choices, it's a dynamic hub for professionals and tech enthusiasts.

An Insider's view of Tempus AI

What’s the vibe like in the office?

The casual setting here in the Chicago office makes everyone less intimidating and more approachable. It's nice to be in an environment where our day-to-day work actually makes a difference, I feel valued. Tempus is also great at welcoming everyone with different backgrounds.


Clinical Lab Associate

How do you collaborate with other teams in the company?

I collaborate with various hiring teams on a daily basis. Through weekly meetings, strategic planning, events, and messaging, hiring teams and I have built a collaborative hiring process and have become trusted partners to bring top talent to Tempus. We rely on honest communication, shared goals, and the right tools to set us up for success!



How does the company support your career growth?

I am always looking for the next opportunity to grow my career, and Tempus has a wealth of opportunities in many departments. Through emerging leaders programs and ongoing conversations with my managers, Tempus has always been supportive in guiding me to find work that is fun, interesting, and maximizes my potential.


Senior Operations Manager

What are some things you learned at the company?

One of the things that molded my growth was seeing how much thought goes into the decisions, and how much leadership seeks feedback from the people around them, to help understand the impact of decision-making. Just being a sponge in the room is inspiring. I adapted the styles of many leaders here and use that to create my own leadership style.


Laboratory Operations Manager

What are Tempus AI Perks + Benefits

Tempus AI Benefits Overview

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Short-Term Disability Insurance
Flexible Spending Account
Commuter Benefits
Parental Leave
Charitable Matching Program
Employee Assistance Program (EAP)
Pet Insurance
Company Cafeteria with Breakfast, Lunch & Grab & Go Options
Stocked Kitchen with Snacks
On-Site Barista
Discounted Gym Membership
Discounted Divvy Membership
Diversity & Inclusion Initiatives
Team & Company Outings

Volunteer in local community
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Employee resource groups
Employee-led culture committees
Hybrid work model
Flexible work schedule
Remote work program
Highly diverse management team
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance + Wellness
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Mental health benefits
Financial & Retirement
Company equity
Charitable contribution matching
Child Care & Parental Leave
Generous parental leave
Family medical leave
Vacation + Time Off
Unlimited vacation policy
Generous PTO
All staff in Tempus’ laboratories are subject to Tempus’ separate laboratory PTO policies.
Paid volunteer time
Paid holidays
Paid sick days
Flexible time off
Bereavement leave benefits
Office Perks
Commuter benefits
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Onsite office parking
Recreational clubs
Relocation assistance
Professional Development
Job training & conferences
Lunch and learns
Promote from within
Mentorship program
Continuing education available during work hours

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