ML PhD Intern - LLMs & Generative AI

💰 $3,200 - $5,120 (Est.) 📍 Seattle

Job Description

Job description
ML PhD Intern - LLMs & Generative AI

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the internship program requires that you are physically present in the United States for the duration of the internship. #LI-remote

Who We Need

We are seeking a highly motivated and talented Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

Internship Details

Our Research PhD Internship is designed for candidates who have finished their classes and are working only on research work to complete their PhD. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our internships are designed to be a minimum of 10 weeks with the opportunity to extend beyond the initially agreed term based on the company's needs and the candidate's desires.

This Opportunity

We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.

In this role, you will:

Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
Deliver the next generation of innovation in trustworthy healthcare.
Key Qualifications

Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
Strong communication skills and the ability to work effectively in a collaborative research environment
Preferred Qualifications

Experience with distributed parallel training, large-scale multi-modal foundation and generative models
Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
Familiarity with training multi-modal foundation models
Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
A track record of publications and contributions to the machine learning and natural language processing communities
This internship opportunity offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.

Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.

We offer:

Competitive compensation
Company-issued laptop and equipment
Opportunities for future full-time positions
The hourly pay for this position is $45
Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), ****** orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

💡 Quick Summary

Seeking a career-building opportunity? The ML PhD Intern - LLMs & Generative AI position is now open for candidates interested in the Work from home Jobs sector. This role in Seattle offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.

Sponsored

Job Details

Company Name: Truveta

Frequently Asked Questions

Click the Apply Now button on this page, login or register for free on CallCenterJob.co.in, fill in your name, mobile number, city, and experience, then submit your application. The recruiter will contact you directly.
The expected salary for ML PhD Intern - LLMs & Generative AI in Seattle is $3,200 - $5,120 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, ML PhD Intern - LLMs & Generative AI is an on-site position based in Seattle. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for ML PhD Intern - LLMs & Generative AI. Previous experience in Work from home Jobs is a plus. Freshers may also apply depending on the employer's requirements.
Yes, CallCenterJob.co.in is completely free for job seekers. Never pay money to apply for any job. If anyone asks for payment to process your application, report it immediately using the "Report this Job" button.

Similar Openings

  • Data Entry Operator | Fresher

    This is a full-time on-site role for a Computer Operator. The Computer Operator will be responsible for typing, administrative assistance, communication, customer service and must be computer literate. This role is located in remote only. SquadStack,...

    Full Time / Part Time

    Salary Estimated: 20K to 30K

    Remote

    September 5, 2026


    Apply Now

  • Telesales Caller Job From Home | Jobsiya

    SquadStack, a prominent remote sales marketplace in India, is leading the way in transforming remote work for the better. Utilizing advanced technology and AI, we enhance sales efficiency and effectiveness. Join us to reshape the retail industry! You...

    Full Time / Part Time

    Salary Estimated: 23K to 35K

    Remote

    September 5, 2026


    Apply Now

  • Telesales Caller Job From Home | Amazon

    SquadStack, a prominent remote sales marketplace in India, is leading the way in transforming remote work for the better. Utilizing advanced technology and AI, we enhance sales efficiency and effectiveness. Join us to reshape the retail industry! You...

    Full Time / Part Time

    Salary Estimated: 25K to 27K

    Remote

    September 5, 2026


    Apply Now

  • Part-time, online job opportunity for data entry job | Jobsiya

    We are offering a part-time online data entry position for candidates in India. This role is ideal for freshers or entry-level candidates looking to gain experience in data management and administrative tasks. Responsibilities • Inputting and managin...

    Full Time / Part Time

    Salary Estimated: 15K to 29K

    Remote

    September 4, 2026


    Apply Now

  • Work From Home | Earn Weekly | No Experience Needed

    PART-TIME ONLINE OPPORTUNITY Work from Home | Weekly Earnings ₹10,000 – ₹45,000 No experience needed | Flexible timing | Smartphone/laptop only Why Trust us: - Guaranteed Weekly Payouts - Govt-Registered & GST-Compliant Platform - Training + Life...

    Full Time / Part Time

    Salary Estimated: 25K to 30K

    Remote

    September 4, 2026


    Apply Now

  • Data Analyst – Logistics Domain (Remote)

    • Hands-on experience in data analysis with a focus on actionable insights. • Knowledge of statistical methods and data visualization techniques. Preferred Qualifications • Experience in the logistics domain and familiarity with supply chain processe...

    Full Time / Part Time

    Salary Estimated: 24K to 28K

    Remote

    September 3, 2026


    Apply Now

×

Login to Apply

Don't have an account? Register here