Data Scientist II

Santa Clara, CA, US • Posted 4 days ago • Updated 5 hours ago
Full Time
On-site
USD $122,500.00 - 161,175.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Immigration
  • Cellular
  • Telco
  • Use Cases
  • Network
  • GPU
  • Evaluation
  • Workflow
  • Collaboration
  • Computer Science
  • Python
  • PyTorch
  • JAX
  • Cloud Computing
  • Google Cloud Platform
  • Google Cloud
  • Amazon Web Services
  • Microsoft Azure
  • Artificial Intelligence
  • Communication
  • Publications
  • Open Source
  • Machine Learning (ML)
  • Natural Language Processing
  • Research
  • POC
  • Telecommunications
  • Wireless Networking
  • RAN
  • Motivation
  • Machine Learning Operations (ML Ops)
  • Data Compression
  • Recruiting
  • Innovation
  • Training
  • Life Insurance
  • Ericsson
  • Finance

Summary

Join our Team

About this opportunity:

  • Job Location: Santa Clara, CA
  • 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 orfor this position.AIII (AI Innovation & Incubation) Silicon Valley is a team of applied research scientists using AI and foundation models (LLMs, LVMs) to solve real problems across all layers of the cellular network. We turn ideas into PoCs, MVPs, and production solutions used by Ericsson's Business Areas and Market Areas worldwide.
    As a Data Scientist you will work with the team to explore AI-RAN and RAN-for-AI opportunities, build and train advanced models, and see your work move from experiment to real-world impact in the telecom network.

What you will do

  • Design, train, and evaluate deep neural networks, including LLMs and other foundation models, for telco-relevant use cases.
  • Prototype AI agents and solution pipelines that use LLMs/LVMs and modern ML techniques to improve network performance and operations.
  • Translate research into code by reading top-tier conference papers (e.g., CVPR, NeurIPS, ICML, ICLR) and reproducing key ideas in experiments.
  • Run experiments on cloud platforms (e.g., Google Cloud Platform, AWS, Azure) or on-prem GPU clusters as part of scalable training and evaluation workflows.
  • Collaborate with applied researchers, engineers, and domain experts to turn PoCs into solutions that can be productized.
  • Stay current with the fast-moving AI landscape, evaluating new methods and tools and suggesting how we can apply them in our work.
  • You'll thrive here if you enjoy ambiguity, rapid change, and learning fast in a field that is evolving every day.

The skills you bring

Minimum Qualifications:
  • MS in Computer Science or a closely related field with strong foundations in machine learning.
  • 1-4 years of experience (industry and/or research) working with deep neural networks, ideally including large-scale or LLM-based models.
  • Strong Python programming skills and experience with modern ML frameworks (e.g., PyTorch, JAX).
  • Proven ability to read and understand research papers and implement or reproduce the described methods.
  • Experience working with at least one cloud platform (Google Cloud Platform, AWS, or Azure).
  • Comfort working in a rapidly changing AI environment, handling uncertainty, and continuously upskilling.
  • Clear communication and collaborative mindset in a professional team setting.

Preferred Skills (great to have, not all required)
  • Publications in relevant conferences or journals (e.g., CVPR, NeurIPS, ICLR, ICML).
  • Open-source contributions related to ML, vision, NLP, systems, or tooling.
  • Experience in an applied research or product team, especially on projects that moved from PoC to production.
  • Familiarity with telecom, wireless networks, or RAN concepts, or strong motivation to learn these domains.

Exposure to:
  • Multi-modal models (text, vision, structured data)
  • MLOps / productionizing models
  • LLM-based agents frameworks
  • or Model compression

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

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

Santa Clara, CA: $122,500- $161,175

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10124801
  • Position Id: 389a1305dfa8d9f8d2cd1a06ceb79175
  • Posted 4 days ago
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