Computer Vision Engineer, Bamboo
Job Summary
What We Do
At Terabase Energy we believe that digitalization and automation will drive the next wave of innovation and cost reduction in large-scale solar. We work alongside project developers owners and engineering & construction firms to support the design optimization and construction of huge solar projects around the world. Our team is a blend of solar-industry veterans and newcomers thought-leaders dreamers software electrical and mechanical engineers coders product managers project managers and sales and marketing professionals.
Terabase Energy is a well-funded scale-up headquartered in Berkeley California with several other offices around the world including our growing Paris R&D hub. Alongside Construct our flagship B2B SaaS construction management and quality control platform that has supported 16 GW of projects from leading owners and EPCs were building Bamboo: a newer fast-growing product line extending Terabases AI and automation capabilities into new parts of the solar EPC lifecycle.
The Role
Youll join Bamboos Computer Vision team in Paris as an integral full-time member reporting to the Head of AI. Youll work at the intersection of deep learning geospatial analysis and real-world solar construction building CV systems that are deployed at scale on active job sites around the world. This is a role for someone who moves fast digs deep and wants their work to have a direct impact on the energy transition.
The Computer Vision team owns the full ML lifecycle for Bamboo: from problem framing and dataset curation through model development and validation to production deployment and continuous improvement.
We build in an AI-first way. AI coding agents AI-assisted code review and AI-driven testing and debugging are core parts of how our engineering team ships software day to day not experimental side projects and were looking for engineers who already work this way and want to keep pushing how far it can go.
Beyond deep technical expertise were looking for someone who is genuinely excited about applying cutting-edge computer vision to one of the most impactful challenges of our time: accelerating the clean energy buildout. Youll work closely with engineering teams in Paris and our external development partners in Belgrade Serbia.
What Youll Do
- Write clean production-grade Python code across the full ML stack data pipelines model training inference services and evaluation frameworks
- Build test ship and support production ML/CV features using AI-first and AI-native engineering workflows AI coding agents AI-assisted review and AI-driven testing and debugging are default tools here not optional extras
- Track and apply the latest advances in computer vision and deep learning from foundation models to efficient inference architectures to real-world construction challenges
- Design and run rigorous testing and validation protocols for ML-based products in challenging real-world construction site conditions
- Partner closely with cross-functional engineering teams (frontend backend data infra) and external development partners to ship integrated features
- Own the end-to-end ML lifecycle: design train evaluate and deploy models that digitalize every phase of a solar plant from development and design through construction and operations
- Serve as a technical bridge to users of developed tools gathering field feedback debugging edge cases and closing the loop between model performance and real-world outcomes
- Contribute to team culture and cross-office cohesion bridging the Paris team with engineering product and field operations teams worldwide
Requirements
What Were Looking For
- Masters degree in Computer Science Machine Learning or a related field or equivalent professional/research experience
- Proven hands-on experience building testing shipping and supporting production B2B applications using AI-first or AI-native engineering workflows proficiency with AI coding agents and AI-assisted development tools is expected not a nice-to-have
- 2 years of hands-on experience developing and deploying AI/ML models and pipelines (academic or industry)
- Strong Python proficiency you write clean testable well-structured code
- Solid Computer Vision fundamentals and applied experience across detection segmentation classification or related tasks
- Deep learning framework experience: PyTorch and/or TensorFlow
- Experience with data annotation tooling and labeling validation workflows
- MLOps experience: experiment tracking model versioning deployment pipelines (e.g. MLflow DVC Docker CI/CD)
- Comfortable working remotely and collaborating asynchronously across time zones
- Strong written and verbal communication in English (French is a plus)
- Solid grasp of agile development practices and the full software product lifecycle
Nice to Have
- PhD in Computer Science Computer Vision or a related field
- Experience with LLMs Vision-Language Models or Foundation Models applied to structured prediction or grounding tasks
- Track record evaluating adopting or championing new AI-assisted engineering tools and practices within a team
- Track record building robust ETL pipelines for large evolving datasets
- Experience with digital twin concepts modeling and tracking physical assets and processes in software
- Hands-on experience with GIS technologies (PostGIS GDAL geospatial data formats coordinate systems)
- Startup or scale-up experience shipping new products in fast-moving resource-constrained environments
Why Join Terabase
Terabase offers the opportunity to work at the intersection of renewable energy advanced software robotics and AI using modern leading-edge AI-native engineering practices as the default way we build. Youll help build technology that directly accelerates the global transition to clean energy infrastructure at massive scale and as an early member of the Bamboo CV team youll have outsized influence over how that products computer vision capabilities are built from the ground up.
Benefits
Compensation And Benefits
Our salary ranges are determined by role level and location. Within each posted range individual pay is determined (and may be greater or higher) dependent on work location and additional factors including job-related skills experience and relevant education or training.
Terabase offers competitive compensation along with a comprehensive benefits package including:
- Generous time off and holiday policy
- Remote flexibility
- Flexible time off
- Comprehensive benefits package
- Career progression
- 401k match
- Stock options
- Home office set up allowance
- And much more!
Terabase is an equal opportunity employer. We recruit hire employ train promote and compensate individuals based on job-related qualifications and abilities. We strongly encourage people of all backgrounds to apply.
We do not discriminate for any reason including race color sex gender age religion or religious creed national origin ancestry citizenship marital status sexual orientation gender identity gender expression genetic information physical or mental disability military/ veteran status or any other characteristic protected by law.
We offer a welcoming and inclusive environment in service to one another our products the diverse consumers we represent and the communities we call home.
Principles only. This role is not open to receiving agency candidates and any contingent submissions will not be considered. Terabase Energy does not utilize third-party recruitment agencies. Please contact our Recruiting team at with any staffing-related inquiries.
Required Experience:
IC