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Language Model Developer

Job in Lebanon, Grafton County, New Hampshire, 03756, USA
Listing for: Dartmouth College
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 130300 - 162900 USD Yearly USD 130300.00 162900.00 YEAR
Job Description & How to Apply Below
Please see Special Instructions for more details.

This position is funded by a grant. Continuation is based upon available funds. Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy.
https://policies.dartmouth.edu/policy/tobacco-free-policy

Position Information

Posting date 03/10/2025

Open Until Filled Yes

Position Number

1129246

Hiring Range Minimum

$130,300

Hiring Range Maximum

$162,900

Union Type

Not a Union Position

SEIU Level

Not an SEIU Position

FLSA Status

Exempt

Employment Category

Regular Full Time

Scheduled Months per Year

12

Scheduled Hours per Week

40

Location of Position

Lebanon, NH 03766 CTBH 46 Centerra, Suite 315

Is this a term position?

No

If yes, length of term in months.

na

Is this a grant funded position?

Yes

Position Purpose

To lead the development and implementation of advanced Large Language Models for a pioneering digital mental health platform at Dartmouth College that combines AI-driven support with passive behavioral sensing. This innovative system will use state-of-the-art AI to provide students with personalized, contextually-aware mental health and wellness support while incorporating real-time behavioral data from smartphone sensors. The role involves creating sophisticated AI models to generate safe, effective responses while adapting to individual student needs and behavioral patterns.

This position is essential in demonstrating how universities can responsibly leverage AI technology to provide scalable, personalized mental health support for their student communities.

Description

Required Qualifications
- Education and Yrs Exp

Bachelors plus 6 or more years' experience or combination of education and experience

Required Qualifications
- Skills, Knowledge and Abilities
  • Bachelor’s degree in Computer Science, AI/ML, or related field
  • 6+ years of experience in developing and deploying large language models
  • Strong expertise in modern AI frameworks and tools
  • Experience with model fine-tuning and adaptation techniques
  • Demonstrated ability to implement AI safety measures and content filtering
  • Strong understanding of ML ops and model deployment
  • Experience with real-time inference optimization
  • Excellent problem-solving and analytical skills
  • Strong programming skills in Python and related ML technologies
Preferred Qualifications
  • Experience with mental health or healthcare applications of AI
  • Knowledge of multimodal AI systems incorporating sensor data
  • Background in developing AI systems for academic or research environments
  • Experience with responsible AI development and ethical guidelines
  • Familiarity with HIPAA compliance requirements
  • Experience with AI model monitoring and maintenance
  • Knowledge of behavioral health interventions
  • Publications or research experience in AI/ML
  • Experience with distributed computing and GPU optimization
Department Contact for Recruitment Inquiries

4279431144272184683__1331_2_emailaddress

Department Contact Phone Number

Equal Opportunity Employer

Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.

Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials,…

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