ML Software Engineer, Tech Lead, Tapestry

Key Skills

Data Classification, Deep Learning, Flask, Forecasting, Framework, JAX framework, Machine learning techniques, MLOps tools, PyTorch, TensorFlow

Job Description

Tapestry, is X’s moonshot for the electric grid. We are a team of software engineers, power systems experts and clean energy geeks who are impatient to tackle climate change head on through our energy system. Tapestry is on a mission to make the world’s electric grid visible so everyone, everywhere can access clean, affordable and reliable energy. We are working with partners around the world to create AI powered tools that will help everyone who works with the grid build and manage a carbon-free and secure electricity system.

Currently incubating at X, Alphabet’s innovation lab, we are now building the team that will scale Tapestry for more global impact. We are looking for people who are passionate about revolutionizing the energy sector to join us at this critical growth stage. You’ll have the chance to be part of a rapidly growing team that has the agility and impact of an early stage company, while building on world-class technology created at Alphabet. Learn more about Tapestry here.

About the role

We are looking for a highly motivated and experienced Machine Learning engineering lead to join our growing team. In this role, you will lead the development and deployment of cutting-edge ML models across a few different focus areas including computer vision/image processing, time series forecasting and data analysis. You will be a key contributor to our AI strategy, driving innovation and pushing the boundaries of what's possible.

How will you make 10x impact:

• Lead the research, design and implementation of machine learning techniques to solve real-world problems for the electric grid
• Provide technical leadership and mentorship to a team of talented machine learning engineers and researchers
• Design and implement scalable and efficient machine learning systems for production environments.
• Work effectively with cross-functional teams of engineers, product managers, and domain experts
• Stay abreast of the latest advancements in machine learning

What you should have

• Bachelors/Masters in Computer Science, or equivalent practical experience
• 8+ years of experience in machine learning research and development
• Strong understanding of machine learning algorithms and principles, with expertise in computer vision (e.g., object detection, image classification) and/or time series modeling (e.g., forecasting, anomaly detection).
• Experience with deep learning frameworks, techniques and libraries (e.g., TensorFlow, PyTorch, Jax/Flax)
• Experience with MLOps and deploying machine learning models in production
• Experience with Google Cloud
• Excellent communication, collaboration, and leadership skills.
• A passion for decarbonizing the electric grid

It would be great if you also have

• PhD in Computer Science or a related field
• Publications in top machine learning conferences or journals
• Contributions to open-source machine learning projects
• Startup experience, or equivalent experience on early stage teams

The US base salary range for this full-time position is $237,000 - $320,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.