Senior Machine Learning Engineer – up to $200k + equity

Senior Machine Learning Engineer - up to $200k base equity

We accelerate the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Our subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. We produce the industry-leading newsletter read by 60,000 climate leaders.

We are looking for a Senior Machine Learning Software Engineer to join our engineering team. As a Senior ML Software Engineer, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to "wear many hats", learn new skills, and take the initiative to develop new features as needs arise.

• Collection
  - Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection.
• Processing
  - Implement AI, natural language processing, and machine learning models to extract, classify, and transform data.
• Infrastructure
  - Assist in developing and maintaining our internal data server and web interface. This will include developing new features for data entry and validation of AI-generated data.
• Analysis
  - Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy.

• 5 years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent
• Deep expertise in Python development
• Experience in machine learning / natural language processing
• Proven history developing and maintaining production-grade software
• A passion for addressing the climate crisis through high quality research and data
• Interest in working for a fast-moving startup with a small, international team
• A BSc degree in Computer Science, Engineering or other relevant field

• Experience using Django and AWS
• A successful history of manipulating, processing and extracting value from datasets
• Experience working with Jira / Agile framework
• Experience using Bitbucket Pipelines
• Working understanding of climate tech sectors

• Opportunity to work and learn at a fast-growing climate tech startup
• Hybrid office based in New York
• Generous base salary stock options
• Flexible working hours
• 20 days PTO federal holidays
• Health coverage and 401(k)