Data Scientist II

Ericsson•Santa Clara, CA

2d•$122,500 - $161,175•Onsite

About The 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.

Requirements

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 (GCP, 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.

Nice To Haves

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)
Exposure to: MLOps / productionizing models
Exposure to: LLM‑based agents frameworks
Exposure to: Model compression

Responsibilities

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., GCP, 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.

Benefits

Choice of three medical plan options
Dental plan option
401(k) Plan with automatic 3% company contribution
401(k) matching $1 for $1 on the first 3% of eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay
Company credits for basic life insurance and basic accidental death and dismemberment coverage
Company credits for short-term and long-term disability coverage
Option to participate in Ericsson’s Stock Purchase Plan
15 days of accrued vacation
Up to 3 personal days per year
11 annual holidays
8 hours of volunteer time
80 hours of sick time annually
Up to 16 weeks of paid maternity leave
6 weeks of parental or adoption leave at 100% of pay
Financial wellness programs
Educational assistance
Matching gifts
Recognition programs