Lead Machine Learning, Computer Vision Software Engineer

Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines, implementing a large-scale global program for embedded software and cloud infrastructure. The Lead Machine Learning, Computer Vision Software Engineer will work with perception and camera ISP engineers to define image quality requirements, develop image processing algorithms for computer vision applications, and create custom ML models. Responsibilities include optimizing camera image quality, quantizing and pruning ML models, evaluating data, implementing CV/image processing algorithms in C++, and integrating machine learning modules.

Must Have

• Bachelor's Degree or greater in Computer Science, Software Engineering, or related field.
• 3-5 years of experience developing computer vision applications/algorithms
• Participate in at least 2 image processing / computer vision projects and 1 of them productized
• Image processing / computer vision background/understanding
• Strong C/C++ experience
• Experience with OpenCV and ML frameworks such as Pytorch, TensorFlow, TensorFlow Lite
• Deep understanding of neural network architectures
• Experience to work with embedded devices in C++ on Linux
• Decent understanding geometry 2D/3D and algebra
• Desire to learn new technologies
• Desire to follow test driven development(in CV/ML too)

Good to Have

• Experience with machine learning integration, inference engines
• Machine learning general understanding
• Building for Android/Yocto experience
• OpenCL/cuda or OpenGL/Vulkan(shaders) experience/understanding and desire to learn or any different SIMD language

Perks & Benefits

• Relocation options
• Experience in an international environment
• Cross-cultural experience
• Feedback culture
• Regular appraisals
• Annual holiday - 20 or 26 days
• Occasional leave - 1 or 2 days/ depending on the 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
• Expert-led tech courses covering basic to advanced topics
• Internal instructor-led soft skills courses
• Comprehensive in-house self-learning resources for both soft and hard skills
• 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
• Multisport card
• Possibility to order Multisport card at the corporate rate for family members
• LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
• One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with 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
• 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
• Many fun social activities organized by the Luxoft team offline in your city
• Online entertainment events for whole company and local team events
• A workplace where you’re treated with respect within a multicultural team
• Rotation between projects and accounts
• New career opportunities
• Self-Learning Library
• CSR Projects

##### Project description

Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large-scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure.

##### Responsibilities

• Work directly with computer vision perception engineers, and camera ISP engineers.
• Define the image quality requirements for customer use cases
• Develop image processing algorithms to optimizing the camera image quality for performance improvement of computer vision applications
• Develop custom ML models for visual recognition and training it from scratch
• Quantization and pruning the ML models
• Data evaluation using relevant metrics to increase the model performance
• Implement computer vision/image processing algorithms in fast/optimal C++ code
• Implement heuristic/math algorithms and probabilistic methods for camera AI
• Research existing C++ solutions for CV logic
• Develop cross platform C++ code
• Cover algorithms and CV code with unitest
• Ramp up on new technologies related to CV/ML/algorithms (not R&D)
• Integrate machine learning modules into algorithms

##### Skills

Must have

• Bachelor's Degree or greater in Computer Science, Software Engineering, or related field.
• 3-5 years of experience developing computer vision applications/algorithms
• Participate in at least 2 image processing / computer vision projects and 1 of them productized
• Image processing / computer vision background/understanding
• Strong C/C++ experience
• Experience with OpenCV and ML frameworks such as Pytorch, TensorFlow, TensorFlow Lite
• Deep understanding of neural network architectures
• Experience to work with embedded devices in C++ on Linux
• Decent understanding geometry 2D/3D and algebra
• Desire to learn new technologies
• Desire to follow test driven development(in CV/ML too)

Nice to have

• Experience with machine learning integration, inference engines
• Machine learning general understanding
• Building for Android/Yocto experience
• OpenCL/cuda or OpenGL/Vulkan(shaders) experience/understanding and desire to learn or any different SIMD language

##### Other

Languages

English: C1 Advanced

Seniority

Lead

##### Luxoft Benefits*

Global Relocation

• ●Relocation options **
• ●Experience in an international environment
• ●Cross-cultural experience

Recognition and Evaluation

• ●Feedback culture
• ●Regular appraisals

Time Off***

• ●Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority
• ●Occasional leave - 1 or 2 days/ depending on the 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

Luxoft Training Center

• ●Expert-led tech courses covering basic to advanced topics
• ●Internal instructor-led soft skills courses
• ●Comprehensive in-house self-learning resources for both soft and hard skills
• ●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

Well-being and Work-life Balance

• ●Multisport card
• ●Possibility to order Multisport card at the corporate rate for family members
• ●LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
• ●One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with 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

Health Care

• ●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

Company Events and Friendly Environment

• ●Many fun social activities organized by the Luxoft team offline in your city
• ●Online entertainment events for whole company and local team events
• ●A workplace where you’re treated with respect within a multicultural team

Internal Mobility

• ●Rotation between projects and accounts
• ●New career opportunities

Self-Learning Library

CSR Projects

*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.

**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.

***Options offered by the Polish government.