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ML Scientist Foundation Model

Work set-up:

Full Remote

Contract:

Full time

Work from:

United States

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Physics, or Mathematics., Proficiency in Python programming., Experience with neural network model development and fine-tuning large models., Skills in developing scalable machine learning evaluation pipelines..

Key responsibilities:

Collaborate with engineering and research teams to build and optimize models.
Develop evaluation pipelines and improve task-specific model performance.
Work on training, profiling, inference, and fine-tuning of multimodal models.
Contribute to the full lifecycle of model development from data pipelines to deployment.

Egen SME https://egen.ai/

501 - 1000 Employees

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Job description

About Egen:
Egen is a fastgrowing and entrepreneurial company with a datafirst mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.

Want to learn more about life at Egen? Check out these resources in addition to the job description.

Meet Egen
Life at Egen
Culture and Values at Egen
Career Development at Egen
Benefits at Egen

About the opportunity:
In this role, youll join a core team focused on building and scaling foundation models across a variety of modalities. You will work on training large multimodal models and finetuning checkpoints to domainspecific tasks. The team is responsible for the full lifecycle of model development, from data pipeline design and training infrastructure to evaluation, optimization, and deployment into production environments. This role is ideal for someone who thrives at the intersection of model research and production implementation, and who is excited to contribute to the next generation of scalable AI systems.

Responsibilities:You will work closely with engineering and research teams to build and optimize models, develop evaluation pipelines, and drive taskspecific model performance improvements. Your work will span training, profiling, inference, and finetuning, using stateoftheart tools and methodologies across supervised and unsupervised domains.

Basic Qualifications:
Bachelor’s or Master’s degree in Computer Science, Physics, Mathematics, or a related field
Python programming
Neural network model development, including experience building or finetuning large models (e.g., recommendation systems)
Model performance profiling and optimization
Developing scalable ML evaluation pipelines
Multimodal model training and data pipeline development
Taskspecific finetuning and distillation methods

Preferred Qualifications:
The ideal candidate will also have experience in one or more of the following:
Training or experimentation with Transformer, Diffusion, Graph, Contrastive, or Genetic models
ML platform engineering at scale, preferably on GCP
Evaluation framework design and implementation
Experience working in production environments with distributed training or inference

Personal Attributes:
Strong technical foundation in machine learning and systems
Demonstrated ownership of complex ML development workflows
Collaborative mindset and comfort working across teams
Curiosity and enthusiasm for exploring a wide range of ML architectures and training techniques
Excellent communication and documentation skills
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your wellbeing:
Comprehensive Health Insurance
Paid Leave (VacationPTO)
Paid Holidays
Sick Leave
Parental Leave
Bereavement Leave
401 (k) Employer Match
Employee Referral Bonuses

Check out our complete list of benefits here >https:egen.aipeople#benefits

Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.

EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.