Homeoffice Senior Machine Learning Engineer
Revalue Nature · EMEA · Austria · Remote
About the job
What we do at Revalue and why
Revalue is obsessed with one of the planet’s most critical but complex challenges: seeing nature regenerated at planetary scale.
Our mission: to design the most cutting-edge and trusted nature credits for our planet.
Solving this requires a blend of deep experience and out-of-the-box approaches. Therefore, we are bringing together a world-class team from multiple disciplines to create the unique DNA required to reimagine nature credits.
We’ve built a team of exceptional forest scientists, ecologists and conservationist, working closely with teams of machine learning and software engineers, business and marketing to tackle some of the most complex problems in nature conservation and restoration.
We are in this together for nature.
Revalue might be for you if
What You Will Do
What We Value
Applicants must be legally authorised to work in their country of residence. Revalue is unable to sponsor or take over sponsorship of an employment visa at this time.
Revalue is obsessed with one of the planet’s most critical but complex challenges: seeing nature regenerated at planetary scale.
Our mission: to design the most cutting-edge and trusted nature credits for our planet.
Solving this requires a blend of deep experience and out-of-the-box approaches. Therefore, we are bringing together a world-class team from multiple disciplines to create the unique DNA required to reimagine nature credits.
We’ve built a team of exceptional forest scientists, ecologists and conservationist, working closely with teams of machine learning and software engineers, business and marketing to tackle some of the most complex problems in nature conservation and restoration.
We are in this together for nature.
Revalue might be for you if
- You understand the urgency of the climate challenge at hand and want to beat the clock
- You care deeply about nature
- You love being outside of your comfort zone
- You want to grow and perform at a high level in order to make meaningful breakthroughs for nature
- You love a challenge - the harder it gets, the more excited you are
- You want to be surrounded by like-minded people who are sharing the journey with you
- You prefer easy tasks and predictable routines. Solving unsolved problems means embracing ambiguity and frequent change.
- You like to stay in your comfort zone. We're constantly tested by new challenges and need to adapt and act swiftly. If you prefer to stick to your lane, then this isn't the environment for you.
- You're not passionate about our mission and vision. Nature is our #1 priority, ahead of fancy perks and benefits.
- You're mainly interested in working remotely. There are easier remote jobs that might suit you better.
What You Will Do
- Design, build and scale machine learning solutions using remote sensing technology and geospatial data, by collaborating closely with our science and engineering team.
- Design and implement experiments to validate model performance, ensuring high-quality outputs and to assess the accuracy and uncertainty of the models.
- Discuss experiment plans and results with scientists to align technological advancements with scientific goals.
- Applying causal inference and Bayesian methods to real-world problems, to measure the impact of carbon project intervention.
- Engage in pair programming and code reviews with other team members and engineering team to foster the culture of collaboration and innovation.
- Stay abreast of the latest innovations in scientific literature and commercial applications, integrating them into our projects.
- Mentoring and coaching ML Engineers & Scientists on best-practice software engineering, to increase efficiency, accuracy, and reliability.
- A love of nature. We are a mission-driven company with a strong affinity for conserving and restoring natural systems. To make hard things happen, our team must put mission over ego. You find purpose not only in personal growth but also in stopping climate change and biodiversity collapse.
- Strong Machine Learning and Statistical expertise. Experience and background in Python programming, using deep learning frameworks like PyTorch and TorchGeo. Open source geospatial tools including Rasterio, Geopandas, and Xarrays.
- Strong understanding of causal inference theories and methods: Experience with techniques such as propensity score matching, instrumental variables, difference-in-differences and regression discontinuity.
- Proficiency in Bayesian statistics, Including Bayesian inference, and Markov Chain Monte Carlo (MCMC) methods. Experience with Bayesian hierarchical models and Bayesian networks. Practical experience with software and tools for Bayesian analysis (e.g., Stan, PyMC3, JAGS).
- Experience working with optical imagery and radar data: Landsat, Sentinel 1 and 2, and high-resolution imagery (e.g. Planet, Maxar etc.), SAR.
- Expertise working with could computing platforms: Including Google Cloud Platforms, Amazon Web Services.
- MLOps expertise: Experience with building and or using model management tools (e.g. mlflow) & MLOps (model orchestration, updating, etc.)
- An adaptive and curious mindset. As a startup in an evolving industry, we keep our roadmap malleable and open to change in search of new opportunities for impact. You have an open mind and are comfortable pivoting as and when needed in response to new insights into our customers’ needs.
- Clear and open communication. We consider clear and thoughtful communication a fundamental engineering skill and a strong predictor of future impact. You demonstrate this in your contribution to documentation, collaborative problem-solving, and willingness to give and receive feedback
- Excited by distributed teams. You will be joining an international remote-working team with a proven ability to function effectively within diverse cultural environments. You're comfortable with the challenge and excited by the freedom afforded to remote teams, are a self-driver with a willingness to take initiative within a complex and fast-growing sector.
- An adaptive and curious mindset. As a start-up in an evolving industry, we keep our roadmap malleable and open to change in search of new opportunities for impact. You have an open mind and are comfortable pivoting as and when needed in response to new insights into our customers’ needs.
- Excited by distributed teams. You will be joining an international remote-working team with a proven ability to function effectively within diverse cultural environments. You're comfortable with the challenge and excited by the freedom afforded to remote teams, are a self-driver with a willingness to take initiative within a complex and fast-growing sector.
What We Value
- A-Players: Ensuring a team of top performers is ready to do the best work of their lives.
- Focus: Saying no more than yes to make hard things happen.
- Continuous Improvement: Striving for compounding gains through radical ownership.
- Mission Over Ego: Prioritising the mission above individual pride.
- Shared purpose, culture and values
- Unbeatable work flexibility and balance - A truly remote first role with the option to visit our office space in London if that's what works best for you
- A diverse team of colleagues, partners and clients based all around the world
- Generously enhanced, gender-neutral parental leave policy
- Wellbeing support, including company-funded access to therapy for anyone who needs it
- Company laptop + home-office set-up allowance
Applicants must be legally authorised to work in their country of residence. Revalue is unable to sponsor or take over sponsorship of an employment visa at this time.
