Job description

Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's. Ericsson also does not hire F-1's working on CPT or EAD for this position. This role will be sitting out of our Santa Clara, CA office and relocation support isnt available at this time. About this opportunity The AI Innovation & Incubation (AIII) team in Silicon Valley is a group of applied research professionals using AI and foundation models to address real-world challenges across all layers of the cellular network. The team takes ideas from early exploration through proof-of-concept (PoC), minimum viable product (MVP), and into production-ready solutions used by Ericsson's Business Areas and Market Areas globally. In this role, you will collaborate with the team to explore AI-RAN and RAN-for-AI opportunities, build and train advanced models, and contribute to work that moves from experimentation to real-world impact in telecom networks. This position is based in Silicon Valley, USA, and is suited for someone comfortable with ambiguity who thrives in a fast-moving field. What you will do • Design, train, and evaluate deep neural networks — including vision-language models (VLMs) and other foundation models — for telecom-relevant use cases. • Prototype AI agents and solution pipelines using large language models (LLMs), multimodal LLMs, VLMs, and modern machine learning techniques to improve network performance and operations. • Translate research into working code by reading leading conference papers (e.g., CVPR, NeurIPS, ICML, ICLR) and reproducing key ideas through experiments. • Run experiments on cloud platforms (GCP, AWS, Azure) or on-premises GPU clusters as part of scalable training and evaluation workflows. • Collaborate with applied researchers, engineers, and domain experts to develop PoCs into production-ready solutions. • Stay current with the evolving AI landscape, evaluate new methods and tools, and identify opportunities to apply them to ongoing work. The skills you bring • Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a related field, with 4+ years (MS) or 1+ year (PhD) of relevant industry experience. • 5+ years of experience working with deep neural networks (industry and/or research). • Strong Python programming skills and hands-on experience with modern ML frameworks such as PyTorch or JAX. • Demonstrated ability to read, understand, and implement methods from research papers. • Experience with at least one cloud platform (GCP, AWS, or Azure). • Clear communication skills and a collaborative approach to working in a professional team setting. • Publications in relevant venues (e.g., CVPR, NeurIPS, ICLR), open-source ML contributions, or experience taking projects from PoC to production are a plus. • Familiarity with telecom, wireless networks, or RAN concepts — or a strong motivation to learn these domains — is preferred. • Hands-on experience in 3D vision or ROS is a big plus. • AI is becoming core to how we build and deliver at Ericsson. We're seeking talents who are ready to learn, adapt, and develop the skills needed to thrive in an AI-enabled future. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives 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. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com. DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) || Santa Clara (Country/ City) Job details: Data Scientist (Techn) Compensation and Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience. The salary range for this position is • LOCATION: $156,000 - $204,225 USD Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply. Your Health Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents. Your Financial Security We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson’s full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.

Requirements

Must-haves

This role will be sitting out of our Santa Clara, CA office and relocation support isnt available at this time.
Design, train, and evaluate deep neural networks — including vision-language models (VLMs) and other foundation models — for telecom-relevant use cases.
Prototype AI agents and solution pipelines using large language models (LLMs), multimodal LLMs, VLMs, and modern machine learning techniques to improve network performance and operations.
Translate research into working code by reading leading conference papers (e.g., CVPR, NeurIPS, ICML, ICLR) and reproducing key ideas through experiments.
Run experiments on cloud platforms (GCP, AWS, Azure) or on-premises GPU clusters as part of scalable training and evaluation workflows.
Collaborate with applied researchers, engineers, and domain experts to develop PoCs into production-ready solutions.
Stay current with the evolving AI landscape, evaluate new methods and tools, and identify opportunities to apply them to ongoing work.
The skills you bring
Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a related field, with 4+ years (MS) or 1+ year (PhD) of relevant industry experience.
5+ years of experience working with deep neural networks (industry and/or research).
Strong Python programming skills and hands-on experience with modern ML frameworks such as PyTorch or JAX.
Demonstrated ability to read, understand, and implement methods from research papers.
Experience with at least one cloud platform (GCP, AWS, or Azure).
Clear communication skills and a collaborative approach to working in a professional team setting.
Hands-on experience in 3D vision or ROS is a big plus.
AI is becoming core to how we build and deliver at Ericsson. We're seeking talents who are ready to learn, adapt, and develop the skills needed to thrive in an AI-enabled future.
Why join Ericsson?
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
Primary country and city: United States (US) || Santa Clara (Country/ City)
Job details: Data Scientist (Techn)

Nice-to-haves

Publications in relevant venues (e.g., CVPR, NeurIPS, ICLR), open-source ML contributions, or experience taking projects from PoC to production are a plus.
Familiarity with telecom, wireless networks, or RAN concepts — or a strong motivation to learn these domains — is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learninggcpawsazurepythonmlgo

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness