Software Engineer – ML Platform, Staff/Sr Staff

🕒 il y a 2 mois

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Equilibrium Energy

Site WebLinkedInTous les Emplois

51 - 200 employés

⚡ Énergie

🏢 Entreprise

Energy • AI • Enterprise

Equilibrium Energy est une entreprise de pointe axée sur la résolution des défis du changement climatique grâce à des solutions énergétiques innovantes. Elle se spécialise dans la gestion de la volatilité de l'énergie et aide les grandes entreprises à atteindre leurs objectifs de durabilité et d'énergie propre. Composée de scientifiques, d'ingénieurs et d'experts de premier plan, Equilibrium Energy est à l'avant-garde de la réinvention du rôle et des capacités des entreprises énergétiques. Elle intègre des techniques avancées d'IA avec la modélisation fondamentale des systèmes de puissance physique pour générer des perspectives, dans le but de créer une industrie énergétique plus durable et respectueuse du climat.

Description

• Abstract away the complexities behind the deployment and orchestration of a large number of forecasting workflows, enabling a fast model development lifecycle for our Science team • Integrate with data and compute infrastructure to optimize resource utilization and performance • Implement automated testing and monitoring for ML models in production • Maintain and iterate on our model registry and experiment tracking • Co-design frameworks that support model experimentation, hyperparameter tuning, training, and deployment • Partner with our Data Services team to incrementally improve our feature store and tie it to the EQ ontology • Collaborate closely with data scientists to understand new model requirements and together implement solutions that are robust, validated, and scalable • Collaborate with the Science Platform Simulation team to incorporate forecasting into physical and portfolio asset optimizations • Partner with our Product and Customer Delivery teams to enable external customers to perform similar tasks to our internal scientists, with minimal code divergence and following security best practices • Stay up-to-date with the latest advancements in ML engineering and integrate best practices into the platform

🎯 Exigences

• A commitment to clean energy and combating climate change • Proficiency and 5+ years experience in Python software development • Familiarity with automated build, deployment, and orchestration tools such as CI/CD, Pants, Docker, Metaflow, Argo, and Kubernetes • Strong understanding of data pipelines, ETL, and data infrastructure • Experience with observability tooling like Grafana, Honeycomb, and Prometheus • Experience with common machine learning algorithms and libraries (xgboost, sklearn, pytorch, pandas, polars, pandera) • Prior experience in operationalizing machine learning workflows • Agility in working with cross-functional teams and adapting to new work methodologies • Familiarity with agile practices, or a willingness to learn • Strong communication skills for collaborating within a remote-first team that works internationally across timezones

🏖️ Avantages

• Competitive base salary and a comprehensive medical, dental, vision, and 401k package • Opportunity to own a significant piece of the company via a meaningful equity grant • Unlimited vacation and flexible work schedule • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech