Machine Learning Engineer

Key Skills

Deep Learning, Github, Leadership Skill, LiDAR, Machine learning techniques, Python Programming, PyTorch

Job Description

Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Unfortunately, the voluntary carbon markets have been plagued with mistrust and a lack of effectiveness since they’ve emerged – until Sylvera. 

We produce the most accurate and trusted data about the carbon markets so that businesses and governments can confidently invest in, deliver, and report on real climate impact. Some of the world’s largest corporations, consultancies, and financial services institutions rely on Sylvera for their climate investment decisions. 

Our team is made up of the leading minds in climate change from scientists to academics. We work in partnership with scientific organisations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology. Founded in 2020, Sylvera has 150+ employees across the world with offices in London and Belgrade. We’ve raised over $35m from leading VCs like Index Ventures and Insight Partners to date. 

What will I be doing? ‍‍

Having found early product-market fit in a nascent, rapidly growing space, we’re now scaling our Machine Learning team at pace. We’re looking for a mission-driven engineer to join our cross-functional machine learning team.

Specific responsibilities will include:

- Working on high-impact projects and innovating new solutions to problems in the earth observation space and machine learning.

- Working closely with other machine learning engineers, MLOps and remote sensing engineers to process data from various satellite & Geospatial sources 

-Develop cutting-edge machine learning models and algorithms operating on remote sensing data.

We’re looking for someone who: 

- Achieved BSc, MSc or PhD in Computer Science, Machine learning, Remote Sensing or a related technical field or relevant work experience

- Has prior industry experience in building and deploying scalable deep learning and machine learning solutions and data pipelines

- Possesses industry experience writing production-ready code in Python & is familiar with Github

- Has proficiency with Linux, and ML frameworks (preferably Pytorch)

- Has familiarity with Satellite data, aerial data or other geospatial data products

- Cares about the climate and ecosystems of Earth, and to want to change incentives so they get valued and protected.

Nice to have:

- Experience with geospatial python libraries

- Exposure to ingestion and processing of high resolution satellite and aerial images

- Exposure to SAR or LIDAR data

We’d like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description

Benefits 

- Equity in a rapidly growing startup

- No corners cut in having the best tech to do your job

- Unlimited annual leave - and encouragement to actually use it!

- Early finishes on fridays whenever we can

- Enhanced parental leave 

- Up to 20 days paid sick leave 

- £500 WFH allowance 

- Access to Mental Health support via Spill

- Monthly team socials