Machine Learning Engineer, Tapestry

Key Skills

Apache Beam, Apache Flink, Apache Hadoop, Deep Learning, Effective communication skills, GoLang, Image processing, JAX framework, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Python Programming, PyTorch, SPARK Programming, TensorFlow, Writing

Job Description

About the role:

As an applied ML and data pipelines software engineer, you will own end-to-end development of breakthrough technologies that rely heavily on machine learning. You will work with amazing and talented people, who work on highly creative and ambitious efforts. You will work closely with other software engineers, machine learning experts, domain experts, and product managers to plan, coordinate, and integrate your work.

How you will make 10X Impact:

• Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid
• Explore and de-risk novel technologies to extract data from unlikely sources
• Lead the design and implementation of ML data platforms and service frameworks
• Design and implement robust, automated, production-level software using horizontally scalable components
• Work effectively with cross-functional teams of engineers, product managers, and domain experts
• Provide direction and focus in areas of high ambiguity

What you should have:

• Bachelors/Masters in Computer Science, or equivalent practical experience
• Experience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data
• 5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience
• 3 years of experience with Python, Golang, or other equivalent languages
• Excellent written and verbal communication skills
• A passion for decarbonizing the electric grid

It’d be great if you had these:

• 2 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture
• Experience with building data pipelines (e.g. Beam, Dataflow, Flink, Hadoop, Spark)
• Prior experience in ML modeling using TensorFlow, Pytorch or Jax/Flax
• Consistent track record of delivering high quality solutions to large, complex software problems
• Prior experience with setting the technical direction for small groups of engineers
• Experience working in a start-up like environments

The US base salary range for this full-time position is $160,000 - $220,000 + bonuses + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.