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Sr. Manager, AI/ML Engineering Team

Terabase Energy

Paris

Sur place

EUR 90 000 - 130 000

Plein temps

Il y a 30+ jours

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Résumé du poste

A leading solar technology firm seeks a Senior Manager for its AI/ML Engineering Team in Paris. The role involves leading a team, developing AI/ML features for their SaaS product, and ensuring high-performance standards. Ideal candidates have extensive experience in AI/ML and strong leadership skills. This position offers competitive compensation and a comprehensive benefits package.

Prestations

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

Qualifications

  • 7+ years of experience with AI/ML architecture and technologies.
  • 4+ years in developing AI/machine learning models.
  • Proficient English communication skills.

Responsabilités

  • Lead AI/ML Engineering team in Paris.
  • Collaborate with various teams for AI/ML functionalities.
  • Conduct research on latest AI advancements.

Connaissances

Python
Computer Vision
MLOps
Agile workflows
Deep Learning

Formation

Master’s in Computer Science

Outils

TensorFlow
PyTorch
AWS EMR
Description du poste
Overview

At Terabase Energy, we believe that digitalization and automation will drive the next wave of innovation and cost reduction in large scale solar. Terabase is developing an interconnected software and construction automation platform to support the design, optimization, and construction of huge solar projects worldwide. Our team blends solar-industry veterans and novices, including software, electrical and mechanical engineers, coders, product managers, project managers, sales and marketing professionals. Terabase Energy is a well-funded scale-up headquartered in Berkeley, California, with several offices around the world, including Paris.

Our Paris office will host our future core R&D team for the flagship product Construct, a B2B SaaS construction management and quality control platform designed for utility-scale solar projects. Construct combines GIS, AI/ML, IoT, and mobile technologies to improve safety, quality, cost, and schedule. Construct has supported more than 16+ GW of projects with leading owners and EPCs.

The Role

Terabase’s Sr Manager, AI/ML Engineering Team is a member of the software product development team, reporting to the Head of Engineering who leads the Paris engineering team. You will work, learn, and grow in Terabase’s unique operating environment and culture: high-growth, innovative, lean, and values-driven. Successful candidates will be adaptable, curious, resourceful, and collaborative, with a commitment to accelerating the decarbonization of the global economy by using digital and automation technology to reduce the cost of utility-scale solar.

The AI/ML Engineering team will design, build, release, and support features for the flagship SaaS product Construct.

We are looking for an experienced team leader who is also comfortable being a hands-on developer, capable of writing high-quality code, leading an engineering team, and helping shape the foundational culture of our new office in Paris. The role requires you to be a strong technologist, thoughtful leader, and culture role model.

The Senior Manager, AI/ML Team will build and lead a team to develop AI/ML-enabled features across the product ecosystem. This includes architectural design/review, leadership, and clear communication to align multiple internal and external teams. The role will collaborate with other engineering teams in the United States and with external software development partners in Belgrade, Serbia.

Responsibilities
  • Lead Terabase’s Paris-based AI/ML Engineering team and build a high-performing, mission-aligned team in the new Paris office.
  • Work with Sr. Director Software in Paris to plan, guide, and execute key AI/ML engineering activities.
  • Collaborate with Director-level software/digital team leaders (Director Construction Technologies, Director IoT Technologies, Director Autonomy, Principal Solution Architect).
  • Lead an initially small team including primarily AI/ML engineers.
  • Conduct research and stay up to date with the latest advancements in machine learning and AI systems and approaches.
  • Perform rigorous testing and validation of ML-based products and systems in diverse construction environments.
  • Collaborate with internal and external software development teams.
  • Design, train, test, and deploy models to augment existing and create new Terabase software products to digitalize the full lifecycle of solar power plants (development, design, construction, operation).
  • Communicate with and support users of developed tools and products.
  • Champion culture and communication by building bridges between the local team and other Terabase teams.
Minimum Qualifications
  • 7+ years of experience with architecture, technologies, and approaches relevant to the AI/ML feature set in Terabase products — a SaaS web-based cloud-deployed modern software stack.
  • Master’s in computer science or equivalent industry and/or academic experience/training.
  • 4+ years of experience (or academic equivalent) in developing AI/machine learning models and pipelines.
  • Proficiency in programming languages Python, Julia, R, or MATLAB.
  • Experience in Computer Vision.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Experience with data labeling validation software frameworks.
  • Experience in MLOps.
  • Ability to work remotely and with distributed teams in various time zones.
  • Proficient written and verbal English communication skills.
  • Strong programming skills, with exposure to object-oriented and functional programming techniques.
  • Solid understanding of agile workflow management and software product lifecycle.
Preferred Qualifications
  • PhD in Computer Science or equivalent academic/industry experience/training.
  • Experience with LLMs and Foundation Models.
  • Experience with SPARK-based ML pipeline execution systems.
  • Experience with AWS EMR or equivalent tools.
  • Experience with data management and curation to maintain and improve model quality over time.
  • Experience with software product design and product management.
  • Experience building ETL pipelines for large and changing datasets.
  • Experience integrating AI/ML into customer-facing products.
  • Experience with digital twins modeling and tracking of physical assets and processes.
  • Experience with GIS technologies and applications.
  • Startup experience focused on building new products and entering new markets.
Compensation And Benefits

Our salary ranges are determined by role, level, and location. Within each posted range individual pay is determined by work location and factors including job-related skills, experience, and relevant education or training. Terabase offers competitive compensation 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 setup 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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