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Skills: Python, PyTorch, Large Language Models, Fine-tuning, RLHF
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Marcus by Goldman Sachs, Delivery Workforce Planning and Hiring Process Manager, Vice President - Richardson, TX
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$87k–$131k/yr
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Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies …
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies …
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies …
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies …
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$100k–$150k/yr
Full-time
postgraduate degree
Posted 54d ago
Apply by Oct 18
~40 hrs/week
Remote in United States
Responsibilities
Design and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches. Build scalable training pipelines and rigorous evaluation suites to ensure model performance and safety in production.
Requirements
Requires a Master's or PhD in Computer Science or ML, or equivalent experience, with at least 6 years of ML research and engineering experience. Must have deep proficiency in Python, PyTorch, and hands-on experience with distributed training of transformer-based models.
Full 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 Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years
Sponsorship: 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.
Key Responsibilities
Design and execute fine-tuning experiments for large language models using supervised, DPO, RLHF, and related techniques.
Lead dataset construction, curation, and quality assurance processes for instruction tuning and preference data.
Build scalable training pipelines on top of modern distributed training frameworks.
Tune hyperparameters, optimizer configurations, and training stability strategies for large-model fine-tuning.
Implement parameter-efficient fine-tuning techniques such as LoRA, QLoRA, and adapter-based methods.
Design rigorous evaluation suites including automated benchmarks, human evaluation, and capability-specific probes.
Implement safety, refusal, and policy evaluations to track model behavior across releases.
Operate large-scale training jobs on GPU clusters, diagnosing failures and recovering training state reliably.
Optimize training throughput using mixed precision, sequence packing, and efficient attention implementations.
Manage model artifacts, lineage tracking, and reproducibility across many concurrent experiments.
Collaborate with product, research, and platform teams to align fine-tuning roadmaps with business needs.
Document training methodology, results, and decisions clearly for technical and non-technical audiences.
Mentor engineers on fine-tuning best practices, evaluation rigor, and responsible deployment.
Stay current with LLM research and translate advances into production-ready fine-tuning recipes.
Required Qualifications
Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience.
Six 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 Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] 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.
Related keywords
Foundation ModelLLMSupervised Fine-TuningRLHFDPOLoRAQLoRAPyTorchPythonFSDPZeROPipeline ParallelismGPU ClustersMixed PrecisionSequence PackingTransformer
BRIGHT VISION TECHNOLOGIES is one of the fast growing company of the region provides Corporate Training, Training Infrastructure and IT Consultations Services. Our clientele are practically Who's Who of the corporate World, from multinationals to IT Companies to large PSUs; the list is an enviable one.
BRIGHT VISION TECHNOLOGIES has expertise in imparting services on higher-end platforms viz. J2EE, Server Side Technology & Enterprise Architecture, Rational Suite, Project Management, Oracle, Lotus Notes, IBM Products, UNIX (LINUX, SOLARIS, AIX, HP) Administration, Windows, Data warehousing, Portal Servers, Web Server and Application Server. It is our constant endeavor to serve our customers wherever they maybe geographically located in the highest traditions of professionalism.
Offices: No.163/c,V.R.G Complex, N.S.R Road , Saibaba Colony, Coimbatore, TamilNadu 641011, IN · No.462 Main Road, A.Sembulichampalayam, Erode, TamilNadu 638501, IN
Corporate TrainingIT ConsultantingSoftware Developmentand Business Process Outsourcing
How much do Data & Analytics jobs in Richardson, TX pay?
Based on 166 listings with disclosed salaries, most data & analytics jobs in Richardson, TX pay between $88k–$158k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Richardson, TX right now?
There are currently 233 open data & analytics positions in Richardson, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Richardson, TX?
Companies currently hiring include Bright Vision Technologies, Realpage, Celestica, Lennox, Qorvo, Inc., among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Richardson, TX?
Yes — 142 of the 233 open data & analytics positions offer remote or hybrid work (102 remote, 40 hybrid).
How do I apply for Data & Analytics jobs in Richardson, TX?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.