Senior Data Scientist
Reads like a ML Engineer role: putting models into production.
Santa Clara, CA, US
- Pay
Multiple pay statements — pay source
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 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign, train, and evaluate deep neural networks and foundation models for telecom use cases
Prototype AI agents and solution pipelines using LLMs and multimodal models
Reproduce research paper methods through experiments and working code
Run training and evaluation experiments on cloud GPU or on-premises clusters
Turn proof-of-concept work into production-ready solutions with engineers and experts
From the employer’s posting
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
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
Collaborate with applied researchers, engineers, and domain experts to develop PoCs into production-ready solutions.
Education & alternatives
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?
Tools in this posting
- Python
- AWS
- Azure
- GCP
- PyTorch
Source — Tool mentions in context
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?
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
About Ericsson
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 10 days ago
- Recorded sightings
- 55
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Check the listed location, eligibility and core experience before starting.
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Job description
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
More relevant text appears in the full description.
- Location & working pattern
Santa Clara, CA, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.
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