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About Egen:
Egen is a fast-growing and entrepreneurial company with a data-first 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, you’ll 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 fine-tuning checkpoints to domain-specific 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:
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 fine-tuning large models (e.g., recommendation systems)
Model performance profiling and optimization
Developing scalable ML evaluation pipelines
Multimodal model training and data pipeline development
Task-specific fine-tuning 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 well-being: - Comprehensive Health Insurance - Paid Leave (Vacation/PTO) - 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.ai/people/#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.
No salary data published by company so we estimated salary based on similar jobs related to Design and Legal jobs that are similar:
$85,000 — $157,500/year
💰 401(k)
🌎 Distributed team
⏰ Async
🤓 Vision insurance
🦷 Dental insurance
🚑 Medical insurance
🏖 Unlimited vacation
🏖 Paid time off
📆 4 day workweek
💰 401k matching
🏔 Company retreats
🏬 Coworking budget
📚 Learning budget
💪 Free gym membership
🧘 Mental wellness budget
🖥 Home office budget
🥧 Pay in crypto
🥸 Pseudonymous
💰 Profit sharing
💰 Equity compensation
⬜️ No whiteboard interview
👀 No monitoring system
🚫 No politics at work
🎅 We hire old (and young)
Location
Remote, Central US