R&D Engineer - Computer Vision & Machine Learning - TUUSULA
Envista Holdings Corporation
FIN - Helsinki - Nobel Biocare Suomi Oy
2d ago

Job Description

We are looking for a research engineer / scientist in the field of Computer Vision, Digital Image Processing, Computer Graphics, and Machine Learning.

You will join a team of software developers, mechanical engineers, clinical experts, and fellow researchers, to create next-generation solutions for Spark and Digital Orthodontics in general.

Primary Duties and Responsibilities :

  • Investigate various aspects of the digital orthodontics workflow to identify areas for automation and optimization.Develop advanced algorithms and methodologies for automatic processing, augmentation, integration, and prediction of photographic, volumetric, geometric and / or meta data.
  • Participate in an iterative concept prototyping pipeline to validate or disprove new ideas.Design experiments, metrics, and acceptance criteria, for the validation of proposed solutions both in terms of technical capability and clinical significance.

    Implement proposed solutions as high-fidelity prototypes that can be readily handed-over to product development teams for commercialization.

    Create technical reports to document the investigation, its findings, and proposed solutions.Work with cross-functional teams regularly to communicate progress and potential risks.

    Conduct technology and patent scans to be in-tuned with the state of the art.Participate in patent filing activities.

    Job Requirements :

  • Master's degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields.
  • Minimum 3 years of professional R&D experience in Computer Vision, Digital Image Processing, Computer Graphics, and / or Machine Learning.
  • Demonstrated problem-solving skills; ability to distill complex or abstract requirements into actionable ideas.
  • Strong mathematics and algorithm design skills.
  • Good spoken and written English skills.
  • Effective technical writing skills.

  • PhD in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields.Solid C++ and object-oriented programming skills;
  • proficiency in design patterns and best practices; industry experience in commercial software development.Deep understanding of computer vision techniques and digital image processing algorithms.

    Extensive knowledge and experience in various AI fields (e.g., deep learning, support vector machines, fuzzy logic, logistic regression, and others), and AI / Data Science platforms (e.

    g., TensorFlow, Matlab AI toolbox, and / or KNIME).Strong communication skills; ability to explain complex ideas in ways that can resonate with and influence other people.

    Proven ability to challenge the status quo and think outside the box; ability to learn from previous mistakes and iterate to generate new solutions quickly.

    Experiences in data analysis and visualization is a plus.Prior work experiences in healthcare (FDA) regulated industry is a plus.

    Critical Success Factors :

  • Solid technical understanding and real-world experiences in related fields.A growth mindset and a relentless pursuit of continuous improvement;
  • willingness to constantly challenge oneself and be challenged; openness to different ideas and unfamiliar domains.Results Oriented;
  • a good understanding and appreciation of the balance between scientific rigor and engineering solutions

    Operating Company : Spark


    Envista and its family of companies (Envista) will not accept unsolicited resumes from any source other than directly from a candidate.

    Envista will consider unsolicited referrals and / or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (Agency) to have been referred by the Agency free of charge and Envista will not pay a fee for any placement resulting from the receipt such unsolicited resumes.

    An Agency must obtain advance written approval from Envista's internal Talent Acquisition or Human Resources team to submit resumes, and then only in conjunction with a valid fully-executed contract approved by the Global Talent Acquisition leader and in response to a specific job opening.

    Envista will not pay a fee to any Agency that does not have such agreement and written approval in place.

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