Senior Deep Learning Engineer

Luxoft; Polska; Remote; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private medical and dental care

Life Insurance

Internal Mobility program

Job summary

Luxoft is seeking a Senior Machine Learning Engineer to join the Deep Learning team. You will build, train, evaluate, and deploy state-of-the-art perception models in production, including 3D vision, video, and foundation models, with edge-device considerations.

The role emphasizes hands-on development, collaboration with platform teams, and delivering scalable ML solutions. You’ll work remotely from Poland, collaborate across disciplines, and contribute to MLOps infrastructure to improve

Qualifications

• 3-4 years of experience building and deploying ML models for perception in production.
• Strong hands-on experience designing, training, evaluating and deploying optimized ML models.
• Proficiency with PyTorch, Python, and CUDA in real-world deployments.

Responsibilities

• 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.
• Contribute to team roadmap and planning.
• Work with cross functional teams and deliver end-to-end customer solutions.
• Mentor junior engineers within the team.

Skills

Pytorch

Python

CUDA

Education

Bachelor's or Master's in Computer Science or related field

Job description

Private Medical & Dental care & Life Insurance covered

Internal Mobility program - possibility of rotation between projects, locations, accounts

...and more!

Project 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.

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.

1. 3D vision models to predict depth and 3D structure,


2. Video/temporal behavior models to predict intent,


3. Deep understanding of Vision language models and hands‑on experience fine tuning them,


4. Deep understanding of foundation models in perception.


5. 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

Mandatory Skills

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 Skills

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