As a Technical Customer Success Manager, you are a central part of our technical team in D/CH/AT. You support our customers in the agricultural environment, ensure smooth operations in the field, and contribute significantly to the success of our technology.

Responsibilities & Requirements

• Technical field service and direct customer support 
• Maintenance, calibration, repair, and inspection of the LaserWeeder™
• Training of operators for safe and effective use of our products 
• Diagnosis and resolution of technical problems (electrical and mechanical)
• Close collaboration with our teams in Germany, Europe, and the USA
• Support for product testing, demos, and implementations
• Ability to communicate proficiently both written and verbally in English
• Capable of lifting equipment and providing physical mechanical support as is needed 

Your Profile

• Agricultural and Construction Machinery Mechatronics Engineer / Degree in Agricultural Sciences with a technical focus
• Experience with Precision Farming technologies desirable
• Very good technical understanding (mechanics, electrics, software)
• Confident demeanor, even in challenging customer situations
• Independent and solution-oriented working style
• Willingness to travel (75%+ during peak season)
• Willingness to provide emergency services during the season
• Driver's license for cars, cars with trailers, and ideally tractors
• Very good German and good English skills, both written and spoken
• Proficient use of common IT systems

What you can expect from us

• Comprehensive training
• Fully equipped service vehicle including tools, MacBook, and iPad
• Attractive salary & stock options in a fast-growing tech startup
• Personal & professional development through training
• A meaningful task with a direct impact on the environment and agriculture
• An innovation-driven, down-to-earth team with real drive

Shape the future of agriculture with us! Apply now!

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Als Technical Customer Success Manager sind Sie ein zentraler Teil unseres technischen Teams in Schweiz. 

Sie begleiten unsere Kunden im landwirtschaftlichen Umfeld, sorgen für reibungslose Abläufe im Feld und tragen maßgeblich zum Erfolg unserer Technologie bei.

Ihre Aufgaben

• Technischer Außendienst und Support direkt beim Kunden 
• Wartung, Kalibrierung, Reparatur und Inspektion des LaserWeeder TM 
• Schulung von Fahrern zur sicheren und effektiven Nutzung unserer Produkte 
• Diagnose und Behebung technischer Probleme (elektrisch und mechanisch) 
• Enge Zusammenarbeit mit unseren Teams in Deutschland, Europa und den USA 
• Unterstützung bei Produkttests, Demos und Implementierungen

Ihr Profil

• Land- und Baumaschinenmechatroniker / Studium der Agrarwissenschaften mit technischem Schwerpunkt
• Erfahrung mit Precision Farming-Technologien wünschenswert 
• Sehr gutes technisches Verständnis (Mechanik, Elektrik, Software) 
• Souveränes Auftreten, auch in herausfordernden Kundensituationen 
• Selbstständige und lösungsorientierte Arbeitsweise 
• Reisebereitschaft (75%+ während der Hochsaison) 
• Bereitschaft zu Notdiensten in der Saison 
• Führerschein PKW, PKW+Anhänger, idealerweise Traktor 
• Sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift 
• Sicherer Umgang mit gängigen EDV-Systemen

Das erwartet Sie bei uns 

• Umfassende Einarbeitung 
• Voll ausgestattetes Servicefahrzeug inkl. Werkzeug, MacBook und iPad 
• Attraktives Gehalt & Aktienanteile an einem schnell wachsenden Tech-Startup 
• Persönliche & fachliche Weiterentwicklung durch Schulungen 
• Eine sinnstiftende Aufgabe mit direktem Einfluss auf Umwelt und Landwirtschaft 
• Ein innovationsgetriebenes, bodenständiges Team mit echtem Tatendrang

Gestalten Sie die Zukunft der Landwirtschaft mit uns! Jetzt bewerben!

Role

As a Senior Research Scientist in the Applied Research team, you conduct applied research and design innovative algorithms in the space of geometric computer vision and image/video/vision-centric foundation models for deployment in industrial robotics at scale. In this role you define processes and develop approaches in Deep Learning that mitigate the risks of hallucinations, improve accuracy and deploy algorithms on industrial robotics workcells to gauge sim-to-real transfer of models. As a Senior Research Scientist at Intrinsic you provide input and guidance for the development and generation of synthetic data and annotations required for training foundation models at scale based on the identification of gaps in the sim-to-real transfer of models. You also work with Research partners and cross-disciplinary engineering teams to ideate new approaches and architectures to bring state of the art foundation models to real-world industrial applications. Constant learning and exploration of unfamiliar technologies is also part of this role. 

How your work moves the mission forward

Your work can play a significant role in democratizing access to advanced AI skills to the average user in robotics and enhance the credibility of deploying AI models at scale in industrial settings. As part of your day-to-day work: 

• You are insightful and innovative, proactively identifying needs and bottlenecks based on customer problems and proposing practical solutions that are deployable in high throughput environments.
• You serve as the nexus between the robotics team and our research partners—collaborating with them, providing engineering insights into research projects, and ideating practical next generation solutions. 
• You serve as an advisor to the engineering and other cross-functional teams providing critical guidance in terms of translating early (AI-powered) research capabilities into robust engineering capabilities in Flowstate (Intrinsic’s software platform for robotics solutions).
• You continually keep abreast of the latest developments in deep learning, AI, machine learning, perception to ensure that Intrinsic can continually keep evolving its advanced capabilities over time.
• Document and develop the prototype fully so it can be shipped to external users. 

In all the above, you will work closely with a sub-team within the R&D division, but will also frequently collaborate with other engineering, and product groups within Intrinsic.

Skills you will need to be successful

• Master’s or PhD degree in Computer Science, Robotics, or a related technical field with a high degree of passion for robotics and foundation models and a strong inclination towards accelerating the deployment of such models in practical industrial manufacturing applications.
• 3 years of experience in robotics software development or research (work on your PhD can count towards this).
• Proficiency programming in Python and at least one of the ML/DL frameworks such as PyTorch, Jax, and/or Tensorflow.
• Knowledge of robotics perception or manipulation algorithms.
• Experience working with robot hardware or simulation environments.
• A team player with a product mindset, a willingness to learn, and apply oneself to delivering value in practical real-world problems.

Skills that will differentiate your candidacy

• Advanced degree (Master's or PhD) in Robotics, Computer Science, or a related technical field.
• Expertise in deep learning, including transformer-based approaches for robotics, and other areas such as Learning from Demonstrations, Reinforcement learning.
• Proven ability to apply robotics ML/AI research to real-world problems and demonstrate tangible impact.
• Experience generating or utilizing synthetic data for machine learning in robotics.
• Publications in relevant robotics conferences or journals.

In 2023, IMC acquired Altas Technologies, a rapidly growing algorithmic trading firm with the ambition of creating tomorrow’s most technically advanced trading stack. By combining Altas’ highly advanced trading strategies with IMC’s execution and scaling capabilities, this move strengthens IMC's position in the market and is an important step towards ensuring stability and long-term growth for the firm.

The Altas team builds robust, fully automated systems to predict and trade cryptocurrency markets.  As a technology-oriented and scientifically-minded group, we design and build our own cutting-edge systems, from high-performance trading platforms to distributed ML- and research infrastructure. You’ll join at a very exciting time in the growth of the team, and will be able to contribute to our success in scaling our crypto strategies. In this role you'll work together with an ambitious team of researchers and quant developers to design and implement HFT monetization frameworks end-to-end and from the ground up. 

Your Core Responsibilities

As a Quantitative Researcher, you will be operating as a senior and core member of our high-performance, dedicated, multi-disciplinary team, with a background in Mathematics, Physics, Computer Science, Robotics, Data Science, Engineering, Statistics. The one thing we all have in common, regardless of our individual backgrounds, is a creative and scientific mindset.

You will not get a lot of top-down instruction telling you exactly what to do and when to do it. You'll get directional advice, useful frameworks, access to interesting challenges, and plenty of freedom to execute as you see fit. We are meritocratic by nature and believe that empowering talent in our organization is the only way to achieve our highly ambitious goals.

We are looking for a creative scientifically minded individual who can lead the growth of the firm’s trading research to improve execution quality in delta 1 mid-frequency (intraday) trading context. As a Quantitative Researcher, you will work together with the engineering team to implement and test execution improvements, and the research team to improve the strategies' capacity and profitability from the perspective of trading costs.

• You will have full ownership of the design and development of models and algorithms responsible for trading and optimal execution of billions in monthly volume
• You will work together with peer researchers and quant developers to design and improve HFT monetization frameworks end-to-end and from the ground up. This includes HFT alpha research, market impact modeling, ML modeling, execution benchmarking, and performance profiling
• Analyze large orders- and trades datasets for post-trade analytics, and improve monitoring capabilities to ensure we are always on top of the market, decomposing PnL and identifying blind spots / opportunities in the algorithms.

Your Skills and Experience

• An advanced degree with excellent grades in Mathematics, Physics, Computer Science, Data Science, Engineering, Statistics or any other highly quantitative field
• Experience as a Researcher in (high to mid-frequency) D1 execution research, ideating trades- and book features that are predictive of execution costs and short-term price movements.
• Demonstrable experience and interest in crypto markets is highly preferred.
• Significant practical experience with large messy datasets.
• Understanding of position management, market risk, and the optimal execution side of quant strategies (implementation shortfall, trade cost modelling).
• Scientific mindset with experience in data analysis with Python & any SQL dialect. Strong eye for detail and highly structured, using a rigorous process to ensure results are reliable and well tested
• Serious about clean code, simple but well-architected systems, and continuous improvement
• Sense of ownership taking full responsibility and accountability for your contributions
• Technical accomplishments are considered a plus: Kaggle, Hackathons, Olympiads, publications

Are you a master of manufacturing fluent in French eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of industrial efficiency, knowledge sharing, and operational excellence. With high‑quality training data, tomorrow’s AI can streamline production processes, enhance workforce training, and support global manufacturing systems. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for manufacturing specialists who live and breathe production systems, lean manufacturing, quality control, process optimization, industrial automation, supply chain management, and workplace safety—especially with knowledge of standards and practices in French-speaking regions. You’ll challenge advanced language models on topics like Six Sigma, Kaizen, GMP, ISO standards, preventive maintenance, materials handling, CNC and robotics, OEE, and production scheduling—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model in both English and French on real-world manufacturing scenarios and technical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A master’s degree in industrial engineering, manufacturing, mechanical engineering, or a closely related field is ideal; professional certifications (e.g., Lean Six Sigma, PMP), fluency in French, and hands‑on experience in manufacturing environments signal fit. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your manufacturing expertise and French fluency into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: Manufacturing Specialist (Fluent in French) – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level