Hiring.Camp

Senior AI Researcher

Ericsson

·

Today

Location
Stockholm, Stockholm County,SE, SE
Type
Full-time
Department
Education
Seniority
Senior
Education
PhD
Source
Eightfold

Description

## Join our Team

About the opportunity

Join and define the future of connectivity at Ericsson Research. AI is central to Ericsson’s 6G vision for intelligent, sustainable, and secure networks. You’ll lead research where machine learning, advanced reasoning, live network data, and real telecom systems meet, shaping technologies and standards with global impact.

The team works across research horizons: collaborating on current product opportunities, exploring emerging AI/ML through proofs of concept, and investigating future telecom technologies. Its focus is AI for radio access networks, spanning radio layers one to three. You’ll work with global colleagues and experts across radio, networking, compute, academia, industry, and standards. Research teams develop AI/ML algorithms and collaborate with product teams to advance promising results toward deployment.

What you will do

  • Set research direction and lead initiatives in AI/ML for future radio access networks and AI-native systems.
  • Identify and develop AI approaches for radio access network functions. Benchmark results against existing methods and real data.
  • Architect algorithms, models, and simulation frameworks.
  • Drive research from concept to prototypes, publications, patents, and standards contributions. Work with product teams to transfer promising algorithms toward real-world use.
  • Lead and mentor researchers, translate objectives into actionable research plans, and present findings to senior leaders and external partners.
  • Represent Ericsson Research in collaborations across academia, industry, and standardization bodies.

Skills you bring

  • A PhD in AI, data science, computer science, engineering physics, robotics, or a closely related field.
  • Typically 3+ years of relevant research experience beyond your PhD, with demonstrated technical leadership and a track record of publications, patents, or standards contributions.
  • Deep knowledge of modern AI/ML, such as deep learning, reinforcement or distributed learning, generative AI, probabilistic modelling, stochastic optimization, or graph-based methods.
  • Strong programming skills in Python, Java, or C++, and experience with PyTorch, JAX, TensorFlow, or similar frameworks.
  • Hands-on experience designing, training, and validating ML systems at scale. You can explain practical choices around model architecture, input data, data quality, and implementation.
  • Experience with simulation-based evaluation.
  • Technical leadership, mentoring, and clear English communication skills. You can turn high-level goals into team plans and explain complex AI concepts to non-specialists.
  • Experience in telecom, networking, robotics, or signal processing is valuable. Strong AI expertise is essential; radio domain knowledge can be developed in collaboration with experienced specialists.

What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

The position is based in Kista, Sweden. Applications are reviewed on a rolling basis; the final application date is November 5th 2026

Primary country and city: Sweden; Stockholm

Primary Recruiter: Anitha Pulluru

Skills

PythonJavaMachine LearningDeep LearningTensorFlowPyTorchData Science

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