Contesto lavorativo
The client is a leading provider of self-driving industrial vehicles. They develop and deliver mobile robots and enterprise software for global leaders in logistics, manufacturing, warehousing, and e-commerce.
Their suite of solutions includes vision-guided vehicles, fleet management software, actionable analytics, and best-in-class service and support. Their unique and proven technology sets them apart: their automation solutions have safely driven millions of autonomous miles in real production facilities without a single personnel safety incident.
They are seeking energetic, bright, and friendly people to help achieve their vision: to fortify global supply chains and create profitable economies with safe, seamless, and smart mobile robotics solutions. You will be working within a cross-functional R&D international team with an Agile Management approach.
Mansioni
You will provide Machine Learning expertise and other technical contributions to a team exploring new ideas and mitigating risk.
The successful completion of your first year looks like:
- key technical contributions to one or more fast paced R&D efforts with a critical Machine Learning component, usually ending in a functional demonstrator or prototype;
- participate in at least one discovery project, where an idea or area is explored;
- work with their Engineering Ops team to build out the toolchain you’ll need;
- build an operational knowledge of the company’ technology and available data sets;
- integrate into the company’s unique technology development process, while building a thorough understanding of the material handling domain;
- engage with other teams to broaden your knowledge and establish working relationships.
Responsibilities will consist of:
- conceive, propose, review, and execute projects advancing the state of the art in robotics as part of an agile cross-functional team;
- research and develop Machine Learning systems to solve difficult problems in the space of material handling, fleet management and flow optimization;
- explore and visualize data to deeply understand a problem space, then identify and implement appropriate models and approaches;
- supervise the data acquisition process as needed;
- provide technical leadership in applying Machine Learning to the problems at hand;
- rapidly iterate and experiment with potential features, concepts and products;
- communicate your results to technical and non-technical audiences;
- be an integral part of the engineering team building the next generation of mobile robots.
Competenze richieste
IMPRESCINDIBILI | PhD with a focus on Machine Learning, ideally (but not mandatorily) in Robotics, Computer Science or related fields; 1+ years of experience (including this year in the PhD experience) with Machine Learning in research or industrial environments, with production experience strongly preferred; experience with ML frameworks such as: Tensorflow, Pytorch, TensorRT, Fast.ai, etc.
IMPORTANTI | Ability to understand recent ML research papers and adapt the results to solve real world problems; experience with applying Machine Learning to multiple domains; fluent in Python, C++, or other modern languages used in systems programming and technical computing domains; solid understanding of common software development tools, processes and environments: for instance, source control, IDEs, agile methodologies, Linux, etc.; experience with rapid prototyping and experimentation.
GRADITE | Application of Machine Learning to aspects of robotics or automation; familiarity with the goals and methods of industrial Research & Development; familiarity with Machine Learning operations; familiarity with cloud Machine Learning offerings, such as Google’s AI Platform and Azure Machine Learning; strong software engineering and architecture skills; thorough knowledge of Linux.
Also required: teamworking, innovating, relating to customers and partners, communication skills; ability to clearly explain and communicate complex technical topics.
Forma di collaborazione
Permanent employment (CCNL Commercio, Terziario, Distribuzione e Servizi).
Impegno
Full-time, with availability to travel according to project needs.
Retribuzione
To be agree according to the profile.
Per candidarsi
Inviare una e-mail con lettera di interesse e CV all’indirizzo Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. con oggetto AD52 | Machine Learning Expert for self-driving vehicles and logistics, indicando la propria disponibilità temporale ad avviare la collaborazione.
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