Computer Vision Engineer, Bamboo

Terabase Energy

Paris

Hybride

EUR 90 000 - 130 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Remote flexibility
Stock options
Home office allowance
Generous time off
Career progression
401k match

Résumé du poste

Terabase Energy in Paris is seeking a Senior ML/Computer Vision engineer to join Bamboo’s Computer Vision team. You will work at the intersection of deep learning, geospatial analysis, and real-world solar construction, building CV systems deployed on active job sites.

You will own the full ML lifecycle, from data curation to production deployment, and collaborate with teams in Paris and Belgrade to ship features using AI-first workflows.

Qualifications

  • Master's degree in CS/ML or equivalent experience.
  • Hands-on AI/ML model development and deployment.
  • Strong Python and CV fundamentals.

Responsabilités

  • Write production‑grade Python code for the full ML stack — data pipelines, model training, inference services, and evaluation frameworks.
  • Develop and ship production ML/CV features using AI‑first workflows.
  • Track and apply advances in computer vision and deep learning to real‑world construction challenges.
  • Design and run rigorous testing/validation protocols for ML‑based products in real‑world sites.
  • Collaborate with cross‑functional teams to ship integrated features.
  • Own the end‑to‑end ML lifecycle from design to deployment.
  • Bridge users with field feedback and improve model performance.
  • Foster cross‑office cohesion between Paris and global teams.

Connaissances

Python
Computer Vision
Deep Learning
PyTorch
TensorFlow
MLOps
Data Annotation
English Proficiency
Remote Collaboration
AI-first Engineering

Formation

Master's degree in Computer Science or Machine Learning

Outils

MLflow
DVC
Docker
CI/CD

Description du poste

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.


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, we're building Bamboo: a newer, fast-growing product line extending Terabase's AI and automation capabilities into new parts of the solar EPC lifecycle.


The Role

You’ll join Bamboo’s Computer Vision team in Paris as an integral, full-time member, reporting to the Head of AI. You’ll 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 we’re looking for engineers who already work this way and want to keep pushing how far it can go. Beyond deep technical expertise, we’re 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. You’ll work closely with engineering teams in Paris and our external development partners in Belgrade, Serbia.


What You’ll 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


What We’re Looking For


  • Master’s 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. You’ll 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, you’ll have outsized influence over how that product’s 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 careers@terabase.energy with any staffing‑related inquiries.

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