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Machine Learning Engineer (m/f/d)


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    Tech Stack / Изисквания

    Chaos is the world’s largest 3D visualization software company, and for over 20 years has empowered artists, designers, and architects to visualize anything they can imagine. Chaos offers intuitive and powerful workflows for creatives across the entire design spectrum, including architecture, engineering, construction, product design, manufacturing, and media and entertainment. Research and development at Chaos is leading the way towards a truly comprehensive end-to-end visualization ecosystem to meet the evolving needs of existing and new customers. In 2022 Chaos merged with Enscape and acquired Cylindo. For more information, visit chaos.comenscape3d.com, and cylindo.com.

    Machine Learning Engineer

    ***This position can be based in Sofia, Bulgaria, or Prague, Czech Republic with hybrid working options. Applicants must have a work/residence permit for the respective location.***

    Main Responsibilities:

    • Design, develop, and optimise machine learning models in one or more solutions including asset generation and capture, render enhancement, scene intelligence and optimisation and intuitive design interactions.
    • Mentor other engineers and contribute to the growth of the team’s knowledge and expertise in machine learning.
    • Collaborate with cross-functional teams and our ML Product Manager to define the product requirements, and scope of delivery of solutions to product teams.
    • Collaborate with cross-functional teams to understand requirements and gather feedback to refine one or more initiatives.
    • Work closely with our MLOps Engineer to develop and maintain pipelines for training, validating, testing and deploying machine learning models across our portfolio.
    • Stay updated and share knowledge on the latest developments in machine learning, natural language processing, and 3D visualisation, and implement cutting-edge techniques to enhance our solutions.
    • Ensure high-quality code and documentation, following best practices in software development and machine learning.

    Job requirements

    • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
    • 5+ years of experience in developing machine learning models and deploying them in production environments.
    • Strong expertise in one or more of relevant fields including : 3d computer graphics, geometry processing, asset generation, scene understanding, natural language processing, real-time collaboration, and intelligent design optimization techniques.
    • Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
    • Excellent problem-solving skills and ability to work independently as well as in a team.
    • Strong communication, collaboration, and leadership skills, with the ability to guide and mentor team members.

    Why Chaos?

    • Working for a globally recognized 3D software company for its cutting edge products and proven track record in innovation, honoured with Emmy® and Academy Awards® for its contributions to television and film
    • Working alongside talented people in an international and diverse environment which fosters learning and knowledge-sharing
    • Supplemental health insurance
    • Strong focus on work-life balance: Flexible working hours, work from home and additional days off
    • Competitive remuneration package
    • Commitment to continuous professional development, through technical training programmes, certifications and conference attendance.
    • New & modern office with free parking space for everyone.
    • Special Discounts

    (Please note that the above-mentioned benefits are available for the Bulgaria location. For any other location they might vary, feel free to discuss with your talent acquisition partner or hiring manager)

    We welcome people who value teamwork, stick to their commitments and are curious to explore new ways for achieving mastery.

    If you think your profile is a good match for this role at Chaos, just send us your resume and your 3D portfolio!

    Please make sure you get familiar with our Privacy Notice before you apply for the job.

    Only short-listed candidates will be contacted.

    Confidentiality of all applications is assured.