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Senior Deep Learning Engineer

Luxoft·Salary not specified

Primary stack

Machine LearningPythonPyTorch

Job description

About the Position

We are seeking a Senior Deep Learning Engineer with 3-4 years of experience in machine learning for perception to join our AI/ML team in Poland. This role involves working on advanced models for cloud and edge devices.

Responsibilities

  • Design and Deploy Models: Come up with solutions to complex problems in perception using deep learning.
  • Documentation: Articulate ideas both verbally and in written form, culminating in clear design and project plan documents.
  • Team Collaboration: Contribute to team roadmap and planning, and work with cross-functional teams across the company to deliver end-to-end solutions for customers.
  • Mentorship: Help and mentor other junior engineers within the team.

Requirements

Must Have

  • Experience: 3-4 years experience building and deploying machine learning models for perception in production settings.
  • Core Skills:
    • Deep hands-on expertise in designing, training, evaluating, and deploying highly optimized machine learning models for perception in cloud and edge devices.
    • Hands-on experience in PyTorch, Python, CUDA, and related skills.
  • Personal Attributes: Good communicator, self-starter, and ability to collaborate with others. Quick learner who can adapt to a fast-paced startup culture.
  • Education: Bachelor's or Master's in Computer Science or a related field.

Nice to Have

  • Experience working in perception problems in self-driving car companies that aligns closely with the work of this team.

We Offer

  • Relocation Options
  • International Experience
  • Cross-Cultural Experience
  • Feedback Culture
  • Regular Appraisals
  • Annual Holiday: 20 or 26 days, depending on seniority
  • Occasional Leave: 1 or 2 days, depending on circumstances
  • Child Care Leave: 2 days or 16 hours per year
  • Absence Due to Force Majeure: 2 days or 16 hours per year
  • Maternity Leave: 20 weeks
  • Parental Leave: 41 weeks
  • Paternity Leave: 14 days
  • Learning Opportunities:
    • Expert-led tech courses
    • Internal instructor-led soft skills courses
    • Comprehensive in-house self-learning resources
    • Access to external self-learning libraries like ProQuest eBook and Udemy for Business
    • Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
    • Custom Learning Programs: upskilling, reskilling, technical mentorship
    • Leadership Programs for Managers
  • Wellbeing Benefits:
    • Multisport card
    • LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
    • One Team Program: Buddy for each New Joiner; seminars, meetings, and workplace space to support integration with the local community and culture; “Hire me” workshops for partners
    • Preferential banking offer
    • Preferential car leasing offer
    • Cafeteria program discounts for shops, cinema tickets, holiday offers
    • Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support
  • Healthcare Benefits:
    • Private Healthcare Insurance with unlimited access to specialists
    • Full dental support
    • Travel Insurance
    • Possibility to add private healthcare coverage for family members at the corporate rate
    • Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer
    • Reimbursement for corrective glasses
  • Social Activities:
    • Fun social activities organized by the Luxoft team offline in your city
    • Online entertainment events for the whole company and local team events
    • A workplace where you’re treated with respect within a multicultural team
  • Career Growth:
    • Rotation between projects and accounts
    • New career opportunities

About the Company

Join Luxoft, a leading company in the AI/ML and Automotive Industry sectors, where you will work on cutting-edge projects with a dynamic and innovative team.

Application

Apply for the Senior Deep Learning Engineer position in Remote Poland.

*Note: Relocation is not available for all open positions. At Luxoft Poland, it is possible to work remotely only from the territory of Poland.

© Luxoft. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

A provider of software development services and innovative IT solutions with a worldwide customer base consisting mainly of large multinational corporations.

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