Bright Vision Technologies logo

Foundation Model Engineer

Bright Vision TechnologiesOverland Park, KS

$200,000 - $230,000 / year

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Career level
Senior-level
Remote
Remote
Compensation
$200,000-$230,000/year
Benefits
Career Development

Job Description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.Job Title: Foundation Model EngineerLocation: 100% Remote (U.S.)Position Type: Full-time, Direct W2Salary Range: $200,000–$230,000 AnnuallyExperience Required: 10+ yearsSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.Job Summary:We are looking for an Foundation Model Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices, and is comfortable navigating the trade-offs between data quality, compute budget, evaluation rigor, and shipping velocity. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.Required Qualifications
  • 10 or more years of combined ML research and engineering experience, with significant LLM exposure.
  • Strong proficiency in Python and modern deep learning frameworks, especially PyTorch.
  • Hands-on experience fine-tuning transformer-based language models at non-trivial scale.
  • Familiarity with distributed training strategies including FSDP, ZeRO, and pipeline parallelism.
  • Experience with RLHF, DPO, or other preference optimization techniques.
  • Strong understanding of evaluation methodology, benchmarks, and human evaluation design.
  • Experience operating training jobs on GPU clusters and recovering from failures.
  • Strong written and verbal communication skills.
  • Track record of shipping or publishing impactful LLM work.
Preferred Qualifications
  • Publications at top-tier ML venues.
  • Experience with multimodal model fine-tuning.
  • Familiarity with synthetic data generation and dataset distillation.
  • Open-source contributions to LLM training libraries.
  • Exposure to responsible AI evaluation and red-teaming practices.
How to ApplyWould you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.Bright Vision Technologies is an Equal Opportunity Employer

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Powered by JazzHR

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Foundation Model Engineer Jobs at Bright Vision Technologies

What is the work location for this position at Bright Vision Technologies?
This job at Bright Vision Technologies is located in Overland Park, KS, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Bright Vision Technologies?
Candidates can expect a pay range of $200,000 and $230,000 per year.
What employment applies to this position at Bright Vision Technologies?
Bright Vision Technologies lists this role as a Full-time position.
What experience level is required for this role at Bright Vision Technologies?
Bright Vision Technologies is looking for a candidate with "Senior-level" experience level.
Does Bright Vision Technologies allow remote work for this role?
Yes, this position at Bright Vision Technologies supports remote work, giving candidates the flexibility to work outside the primary office location.
What benefits are offered by Bright Vision Technologies for this role?
Bright Vision Technologies offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Bright Vision Technologies?
You can apply for this role at Bright Vision Technologies either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.