Senior Machine Learning Engineer, LiveEO
NLP
Office located in Kreuzberg, Berlin
Satellite-based infrastructure monitoring
Open for applications
Satellite-based infrastructure monitoring
101-200 employees
Open for applications
Office located in Kreuzberg, Berlin
101-200 employees
Company mission
To generate earth observation insights for a better world.
Role
Who you are
- Excellent Python programming skills with a strong emphasis on writing clean, efficient, and maintainable code
- Proven track record of applying LLMs to natural language tasks
- Has experience evaluating and benchmarking LLMs, including creating ad-hoc benchmarks and focused datasets to probe specific behaviors, and translating research questions into small, reliable test sets with clear metrics
- Experience fine-tuning LLMs
- Open mind, respectful attitude towards others and their work and good communication skills are a must
- Understanding of geospatial data is a plus
- Experience with synthetic data generation: designing prompts/specs, setting acceptance criteria/quality filters, deduplicating and tracking provenance, and validating impact against real data
- Experience with post-training of LLMs, including preference optimization (e.g., DPO/RLHF) and RL with verifiable rewards (RLVR)
- Experience with VLMs is a plus
What the job involves
- We are looking for a motivated ML Engineer (NLP) to join LiveEO’s AI team. In this role you will contribute to the development of our geospatial AI solutions by helping Large Language Models understand geospatial data
- For this position we are looking for someone with experience in fine-tuning LLMs, benchmarking LLMs and validating their outputs.
- You will work closely with other members of the AI team to build, validate and deploy systems that can understand and reason over large volumes of geospatial data, enabling users to query and understand complex information through text
- Implement cutting-edge NLP techniques. Stay up to date with the latest research in LLMs and NLP. Rapidly prototype and integrate promising techniques into production-ready solutions tailored for geospatial data
- Fine-tune open-source LLMs. Adapt and extend existing open-source models to LiveEO’s domain-specific needs. Manage data preparation, training, evaluation, and efficient deployment of fine-tuned models
- Develop evaluation frameworks for LLMs. Automate evaluation with benchmark pipelines. Define test specifications, and track model performance over time
- Benchmark different LLMs. Compare open-source LLMs across a range of geospatial tasks. Measure and document strengths, weaknesses, and trade-offs, including performance, accuracy, latency, and cost
- Deploy LLMs in cloud environments. Build and maintain scalable infrastructure to serve models. Optimize for cost, latency, and reliability. Use orchestration frameworks to manage distributed training and inference workloads
- Identify and prevent hallucinations. Research and implement grounding, consistency checks, schema validation, and other techniques to reduce hallucinations and improve factual accuracy in responses
Our take
LiveEO’s Earth Observation platform uses satellite data, data analysis software, and AI to help infrastructure companies monitor and assess risks. Backed by the European Space Agency, LiveEO, founded in 2017, has major European clients like Deutsche Bahn, E.ON subsidiaries, and Gascade. A partnership with Planet enables global scaling of its monitoring operations.
Since 2021, LiveEO has tripled its revenues and doubled its workforce, showcasing its successful integration of space tech and enterprise data. Recently, LiveEO secured $10 million from Greencode Ventures, allowing entry into the market for compliance with the European Union Deforestation Regulation (EUDR). This regulation mandates companies verify their imported commodities do not contribute to deforestation.
LiveEO’s AI models are enhancing climate resilience for global infrastructure networks, including collaborations in the USA, Australia, and Japan. The new deforestation monitoring solution positions LiveEO as a leader in this emerging market. With a robust AI and deep tech stack, LiveEO is setting a new industry standard, unlocking the full potential of earth observation for humanity and life on Earth.
Steph
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jun 2024
$29.1m
SERIES B
Nov 2023
$10.6m
EARLY VC
Total funding: $72.8m
Company benefits
- Front row seat in the development of a multinational market leader in a new industry
- Flat hierarchies as well as short and open communication
- Start-up culture with a high degree of freedom and responsibility
- Fair compensation, potential participation in the employee stock option program
- Office located in the center of Berlin Kreuzberg, free fruits & drinks
- Flexible home office arrangement & working hours
- International team and frequent team events
- The opportunity to help create a product that can improve business processes & life across the globe
Company HQ
Wrangelkiez, Berlin, Germany
Leadership
Sven Przywarra
(Co-CEO)Previously worked in science-focused startup, Part-Time Scientists in the business development and PR teams. Studied Industrial Engineering and Management at Technische Universität Berlin.
Daniel Seidel
(Co-CEO)Has a Masters from ASTROFEIN where they studied low earth orbit satellites. Also founded and organises NewSpaceVision - a platform to learn and exchange about the developments in the NewSpace Economy.
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