Machine Learning Engineer

Interdigital Projectsrepresent
London, UK
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Bioinformatics C++ (Programming Language) Profiling Data Compression Python (Programming Language) Machine Learning Performance Tuning Software Engineering Pytorch Deep Learning Information Technology
+2 more
ONNX (Open Neural Network Exchange) Format Machine Learning Operations

Requirements

We are seeking a machine learning engineer who will work to research, design, implement and optimize these models for efficient deployment.You are a machine learning engineer with deep expertise in model optimization and compilation and strong software engineering skills.Key QualificationsExcellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling)Strong software engineering skills and experience building robust ML codebasesExpert in Python, with additional experience in C++ or another systems language a plusExperience with GPU based training and inference, and familiarity with performance optimization for acceleratorsExperience building production grade ML systems or research prototypes that have been used by othersPublications, patents, or significant open-source contributions in relevant areas are a plus3+ years of relevant experience in machine learning, deep learning, or closely related fieldsBachelor or Master (PhD a plus) in Machine Learning, Computer Science, or a related fieldResponsibilitiesWork with InterDigital researchers and engineers in the London Video Team and across R&I to understand requirements and provide ML-based technical solutions for video compression and video codingResearch, prototype and evaluate novel neural architectures for AI-based video compression and next-generation video coding modelsProduce high quality research outputs and patentable innovations in AI-based video compression and video coding, working closely with internal IP teams to capture and protect novel ideasOwn model optimization and compilation workflows, including PyTorch compile, export and integration into downstream systemsDesign, implement and maintain training, evaluation and benchmarking pipelines for video compression models, including metrics and datasetsWork on proof-of-concept projects with various teams and incorporate successful approaches into larger platforms and demonstratorsStay current with advances in machine learning, deep learning and video coding research and help bring relevant ideas into InterDigital projectsRepresent the company, promote and defend proposals from the companyLocation: London, UKInterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff. #J-18808-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on apply4u.co.uk

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

47 sec

Profiling native execution calls with async-profiler

Gonzalo Ortiz Jaureguizar Gonzalo Ortiz Jaureguizar · World Congress 2026 Europe

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:37 min

Optimizing technical profiles for AI sourcing and recruitment

Mina Golesorkhi Mina Golesorkhi · World Congress 2026 Europe

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

Videos

See all

Related articles

See all