职位描述
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
Requirements
- 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
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 [email protected] with any staffing-related inquiries.
薪资与福利
同类岗位的典型薪资
估算过去 24 个月内 Rejobs 上该群组广告薪资的中间一半。该雇主未标明薪资。
职位详情
关于 Terabase Energy
公司概况
Terabase Energy
总部美国加利福尼亚州
成立年份2020
商业模式
可再生能源
核心活动太阳能发电系统的设计和开发
收入来源太阳能项目的开发和管理
地点与地理
美国、加拿大、欧洲、亚洲、南美洲
公司文化
他们的使命是加速全球向可再生能源的转型,推动可持续发展。
工作环境他们提供一个创新和协作的工作环境,鼓励员工提出新想法。
员工发展他们重视员工的职业发展,提供培训和成长机会。
活动与项目
他们正在开发多个大型太阳能项目,致力于提高太阳能的可及性和效率。
创新他们正在研发新技术,以降低太阳能发电的成本。
可持续实践他们致力于在所有项目中实施可持续的实践,减少环境影响。
职业机会
工程师、项目经理、销售代表等职位。
福利与待遇提供竞争力的薪资、健康保险和灵活的工作安排。
联系信息
无可用社交媒体链接
招聘页面您的 LinkedIn 人脉
在 LinkedIn 上查看您在 Terabase Energy 的联系人,申请时善用您的人脉。
查看人脉