Senior Deep Learning Engineer

Description

The Deep learning team's work is at the crux of solutions to its customers. The team is responsible for building and maintaining advanced models that are able to perceive the world and the knowledge produced by the models is used downstream to implement various customer use-cases. The team runs a number of models both in the cloud as well as on the edge device serving different scenarios. The team also works closely with the platform team to build out MLOps infrastructure to achieve better scale and reliability.

What we offer

• 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

Other

• Languages: English: B2 Upper Intermediate

• Seniority: Senior

Requirements

• The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission.

• 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: Bachelors or Masters in Computer Science or related field

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

Responsibilities

• As a Senior Machine Learning Engineer in the Deep Learning team, you are expected to be a hands-on senior ML engineer who is able to own and deliver solutions to large scale perception problems in production. Apart from the broad ability to build, train, evaluate and deploy state of the art ML models in production, you are expected to have solid expertise in at least one of below verticals.

• 3D vision models to predict depth and 3D structure,

• Video/temporal behavior models to predict intent,

• Deep understanding of Vision language models and hands-on experience fine tuning them,

• Deep understanding of foundation models in perception.

• Deep knowledge of nvidia edge device stack for running ML models and cuda know-how in terms delivering highly optimized models

• We're looking for someone who enjoys being challenged with complex problems in perception and loves working with a bunch of smart people applying state of the art techniques in deep learning to provide impactful solutions to problems

• This position is a fully remote position based in Poland.

• Key Responsibilities

• Below are your primary responsibilities. These represent the core areas where you'll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.

• Come up with solutions to complex problems in perception using deep learning.

• Articulate ideas both verbally and in written form culminating in clear design and project plan docs for their work

• Contribute to team roadmap and planning

• Work with cross functional teams across the company and contribute towards delivery of end to end solutions for the customer

• Help and mentor other junior engineers within the team