Senior AI R&D Engineer - REMOTE (f/m)

Ansys; Toulon; À distance; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading technology firm in Toulon is seeking a Senior R&D Engineer to develop cutting-edge ML models. You will design architectures for neural networks and collaborate with a dynamic team. Qualifications include a relevant degree and extensive experience in Python and Deep Learning. This role offers competitive health and financial benefits.

Prestations

Comprehensive health benefits

Wellness offerings

Financial benefits

Qualifications

• 5 years experience with BS, 3 years with MS, or 1 year with PhD.
• Significant experience with Python and Deep Learning.
• Proven track record of crafting robust and efficient code.

Responsabilités

• Creates architectures for neural networks.
• Participates in planning, architecture, and research.
• Employs best practices through technical reviews.

Connaissances

Python

Deep Learning libraries

MLOps tooling

Communication skills

Interpersonal skills

Formation

BS in Engineering, Computer Science, or related field

MS with 3 years’ experience

PhD with 1 year experience

Description du poste

Overview

Ansys is part of Synopsys. Synopsys, Inc. accelerates technology innovation from silicon to systems, delivering design solutions from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. The SimAI platform is a SaaS AI-based technology that brings unprecedented speed, innovation, and accessibility to simulation. It is built on proprietary Deep Learning algorithms at the forefront of AI. With Ansys SimAI, users can train AI models using simulation results and reliably predict the performance of complex problems in minutes instead of hours or days. It empowers users to make faster decisions, iterate more quickly, and ultimately drive faster innovation.

The Senior R&D Engineer will be part of a team of ML Engineers, working on partnerships projects. The position will be working closely with the Ansys ecosystem and the scopes includes everything from designing and training cutting-edge models to developing robust production code.

Key Duties and Responsibilities

• Creates architectures for neural networks tailored to specific tasks, such as image recognition, natural language processing, or speech recognition
• Participates in planning, architecture, and research
• Performs complex development activities that may require extensive analysis in areas including user experience, software design and solver research
• Employs best practices and helps to maintain them through technical reviews and mentoring
• Performs complex bug verification, release testing and beta support for assigned products
• Researches problems discovered by QA or product support and develops solutions
• Researches and understands the marketing requirements for a product, including target environment, performance criteria and competitive issues. May work with strategic customers or proxies to assess needs and develop solutions
• Works independently with minimal supervision and may take on some planning and mentoring responsibilities
• May be responsible for managing interns or co-ops but typically does not have direct reports

Minimum Education/Certification Requirements and Experience

• BS in Engineering, Computer Science, or related field with 5 years’ experience, MS with 3 years’ experience, or PhD with 1 year experience
• Significant experience with Python, Deep Learning libraries and MLOps tooling
• Proven track record of crafting robust and efficient code
• Proven track record of developing Deep Learning models for commercial software

Preferred Qualifications and Skills

• Technical knowledge and commercial experience applying AI and Deep Learning techniques to CAE, namely geometry handling, numerical simulation and methods
• Experience delivering high-quality products in a large-scale commercial software development environment
• Understanding of customer requirements and tools used in this domain
• Good communication and interpersonal skills
• Ability to work collaboratively in a geographically distributed team

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.