Software Engineer, Sylvera

Field Data Science

Salary not provided

+ Equity

Python
Mid and Senior level
London

1-2 days a week in office

Sylvera

Software underpinning carbon markets

Open for applications

Sylvera

Software underpinning carbon markets

101-200 employees

B2BArtificial IntelligenceSustainabilityMachine LearningSaaSEnvironmental

Open for applications

Salary not provided

+ Equity

Python
Mid and Senior level
London

1-2 days a week in office

101-200 employees

B2BArtificial IntelligenceSustainabilityMachine LearningSaaSEnvironmental

Company mission

To make carbon offsets work for everyone.

Role

Who you are

  • Has demonstrable experience and skills in developing production pipelines in Python with software engineering practices including Git, CD/CI and test driven development (desirably with experience using Docker, CircleCI and Dagster, or similar)
  • Has a keen interest and desire to work with machine learning (experience with PyTorch and computer vision models such as CNNs desirable)
  • Ideally has previous experience working with geospatial data (GDAL and xarray desirable)
  • Cares deeply about the climate and ecosystems of the earth
  • Is a self-starter who thrives in constantly evolving environments, ideally with early-stage experience

What the job involves

  • The Field Data Science team at Sylvera is on a mission to accurately value the carbon stored across the world’s ecosystems, so that our customers can be sure that they are investing in real climate action
  • We do this by realising the combined potential of spaceborne remote sensing and AI for ongoing and accurate carbon accounting; something that has to date been limited by the lack of quality in-situ training data
  • Our team collects and processes these data - we have for example, pioneered multi-scale lidar methods for above-ground biomass estimation, that sees us collect laser scanning measurements from across the world’s forests using drones and helicopters
  • The team are currently working on building the capability to map soil organic carbon (SOC) stocks globally using machine learning and Earth observation data
  • Developing this pipeline with good software engineering practices front of mind, such that the resulting data can be reliably and scalably consumed by internal and external customers
  • Working in collaboration with scientific and engineering experts to design, construct and test machine learning models that use various geospatial covariates to predict soil organic carbon
  • Proactively collaborating with colleagues across Sylvera; including with our Earth Data Platform team to collaborate on scalable engineering and ML practices, and with the customers of the resulting data
  • In case you’re interested, our tech stack is as follows (not necessary for you to have experience in all of these):
  • Python – key packages:
  • Testing: pytest
  • Geospatial: Xarray, Rioxarray, GeoPandas, GDAL
  • ML: PyTorch, SKLearn
  • NumPy
  • Git & GitHub
  • Docker
  • CD/CI: CircleCI
  • Data pipeline orchestration: Dagster
  • Cloud data platform: Arraylake, Snowflake

Salary benchmarks

Our take

Sylvera is scaling carbon markets with software, by developing tools to quantify stocks of carbon stored in vegetation using AI applied to satellite or drone data.

Using current quantification techniques, it is not possible to provide accurate and regular data on the performance of forestry projects, which leads to issues with corruption, fraud and uncertainty. This leads to significant financial and reputational risk for corporates purchasing offsets and makes it hard for high quality forest projects to secure fair prices and low cost finance at large scale.

By providing a quantitative sequestration audit trail and associated risk ratings, Sylvera intends to underpin effective voluntary carbon markets. This will allow the market to scale to keep the planet under 2C of warming, and unlock huge co benefits for nature and society.

Steph headshot

Steph

Company Specialist

Insights

Some candidates hear
back within 2 weeks

279% employee growth in 12 months

Company

Employee endorsements

Meaningful work

"Sylvera's mission to bring transparency to the Voluntary Carbon Market leveraging data and expertise is a privilege to be a part of -- being able to..."

Company benefits

  • Unlimited Holiday
  • Christmas Shut Down
  • Private Medical & Life insurance
  • Enhanced maternity/paternity leave
  • Monthly Friday lunch budget
  • Team social budgets
  • One-off WFH allowance
  • Enhanced Paid Sick Leave
  • Mental Health support

Company values

  • Own it - We believe in giving people the autonomy to own their impact
  • Stay curious - Our business is built on revealing truths and debunking misperceptions
  • Do What’s Right, Even When It’s Hard - The right path isn’t always easy or obvious
  • Collaborate with Kindness - Great teams are built on open communication and respect

Company HQ

London, UK

Leadership

Allister is a repeat entrepreneur with a PhD in Machine Learning and an MBA from London Business School. As well as 10 years developing technology in the renewables industry, he has built and operated business units in Asia, Continental Europe and the UK

Samuel Gill

(President)

Sam started his career in the City working for top U.S. law firms. He specialised in the formation and regulation of Investment Funds, working on a number of high-profile launches. More recently, he focused on ESG products, and has advised on major carbon offset issuances


People progressing

Felix joined us at a Carbon Markets & Commercial Strategy Intern. He's created incredible impact, and has since been promoted 3 times to Commercial Operations & Strategy Manager.

Jess joined us as a Senior GIS Engineer and has since seen 3 subsequent promotions. Jess is now our VP Ratings.

Diversity & Inclusion at Sylvera

Jen Burry (Head of Talent)

  • We have launched a Diversity, Equity, and Inclusion committee, to continue to build a diverse, equitable, and inclusive company while constantly learning with a humble attitude. We have team members focused across the following pillars to establish a baseline and track progress
  • Recruitment: Attract great talent and increase the pool of diverse candidates at all levels
  • Training: Develop a training library intended to build inclusive behaviours and DEI competency
  • Lifecycle metrics: Use data and metrics to track progress across all DEI pillars
  • Employee Resource Groups (ERGs): Create and support employee resources groups to foster representation, inclusion, and belonging

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