Senior Machine Learning Engineer
Revalue Nature
This job is no longer accepting applications
See open jobs at Revalue Nature.See open jobs similar to "Senior Machine Learning Engineer" SJF Ventures.Software Engineering
London, UK
Posted on Saturday, August 3, 2024
At Revalue, we are not content with the status quo. We are constantly pushing the boundaries, designing innovative approaches and tackling tricky issues. We believe that the challenges we face are complex, and the only way to succeed is through the collective intelligence and creativity of our team. If you're excited by challenges, want to be continuously tested, and thrive on personal growth, Revalue Nature is the place for you to make a real impact.
We offer great opportunities for our talent and we want this to be a place that allows you to do the best work of your life, while also focusing on balance outside of work.
You Can Expect
What You Will Do
About Us
Revalue exists to deliver a fundamental step-change in the quality and integrity of carbon projects. We do this by rethinking projects from the ground up - slightly better is not good enough - in order to build confidence in the market and deliver impact at a planetary scale. Our world cannot afford anything less. This mission drives us every day.
Revalue Nature has raised $10 million in Series A funding to be the most innovative and trusted developer for nature on the planet. This new investment was co-led by Ecosystem Integrity Fund (EIF) and SJF Ventures, two leading venture firms focused on climate and impact. Join us on our journey to supercharge the world's leading nature-based developers, reset the bar for quality in the carbon market, and protect and regenerate nature at a scale that makes our eyes water.
What We Do
Revalue supercharges the world's leading nature-based carbon projects developers. We provide them with the required technical support and competitive financing to go from the initial rapid assessment of potential project areas, to the first carbon credits issuance, and beyond. This is underpinned by our proprietary tech, which creates a step-change in accuracy, speed, automation, and level of insights.
Our team
Our global, diverse team sits across all time zones and has an exceptional track-record of designing and delivering high impact carbon projects globally. We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space.
Revalue Nature Ltd is an equal opportunity employer that values diversity and encourages people of all ethnic & racial origins, gender identities, sexual orientations, religions & ideologies, socio-economic statuses, educational backgrounds, ages, and individuals of all abilities to apply.
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.
We offer great opportunities for our talent and we want this to be a place that allows you to do the best work of your life, while also focusing on balance outside of work.
You Can Expect
- 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
- A team with unrivalled experience and track-record in the sector
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.
About Us
Revalue exists to deliver a fundamental step-change in the quality and integrity of carbon projects. We do this by rethinking projects from the ground up - slightly better is not good enough - in order to build confidence in the market and deliver impact at a planetary scale. Our world cannot afford anything less. This mission drives us every day.
Revalue Nature has raised $10 million in Series A funding to be the most innovative and trusted developer for nature on the planet. This new investment was co-led by Ecosystem Integrity Fund (EIF) and SJF Ventures, two leading venture firms focused on climate and impact. Join us on our journey to supercharge the world's leading nature-based developers, reset the bar for quality in the carbon market, and protect and regenerate nature at a scale that makes our eyes water.
What We Do
Revalue supercharges the world's leading nature-based carbon projects developers. We provide them with the required technical support and competitive financing to go from the initial rapid assessment of potential project areas, to the first carbon credits issuance, and beyond. This is underpinned by our proprietary tech, which creates a step-change in accuracy, speed, automation, and level of insights.
Our team
Our global, diverse team sits across all time zones and has an exceptional track-record of designing and delivering high impact carbon projects globally. We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space.
Revalue Nature Ltd is an equal opportunity employer that values diversity and encourages people of all ethnic & racial origins, gender identities, sexual orientations, religions & ideologies, socio-economic statuses, educational backgrounds, ages, and individuals of all abilities to apply.
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.
This job is no longer accepting applications
See open jobs at Revalue Nature.See open jobs similar to "Senior Machine Learning Engineer" SJF Ventures.