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.
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:
You will work closely with engineering and research teams to build and optimize models, develop evaluation pipelines, and drive task-specific model performance improvements. Your work will span training, profiling, inference, and fine-tuning, using state-of-the-art 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 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:
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.
Estes cookies são necessários para o funcionamento do sítio Web e não podem ser desactivados nos nossos sistemas. Pode configurar o seu browser para bloquear estes cookies, mas nesse caso algumas partes do sítio Web poderão não funcionar.
Segurança
Experiência do utilizador
Cookies orientados para o grupo-alvo
Estes cookies são instalados no nosso sítio Web pelos nossos parceiros publicitários. Podem ser utilizados por estas empresas para definir o perfil dos seus interesses e mostrar-lhe publicidade relevante noutro local.
Google Analytics
Anúncios do Google
Utilizamos cookies
🍪
O nosso sítio Web utiliza cookies e tecnologias semelhantes para personalizar o conteúdo, otimizar a experiência do utilizador e para individualizar e avaliar a publicidade. Ao clicar em OK ou ao ativar uma opção nas definições de cookies, está a concordar com isto.
Os melhores empregos à distância por correio eletrónico
Junte-se a mais de 5'000 pessoas que recebem alertas semanais com empregos remotos!