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Ericsson · 10 hours ago

Senior Data Scientist

Santa Clara, CA

Full-time

Onsite

Senior Level

$156K/yr - $233K/yr

5+ years exp

Ericsson is a leading telecommunications company that focuses on innovation in network solutions. In this role, you will leverage your expertise in AI and machine learning to develop intelligent systems for telecom network automation, collaborating with cross-functional teams to deliver impactful solutions.

Information TechnologyInternetMobileTelecommunications

No H1B

Responsibilities

Lead AI Solution Development: Design, develop, and optimize advanced AI models leveraging large language models (LLMs), context engineering, knowledge graphs, advanced RAG techniques, and agentic AI systems to solve real-world telecom network problems. This includes fine-tuning transformer-based LLMs for domain-specific tasks and applying prompt engineering to refine their outputs

Autonomous Network Agents: Create and integrate intelligent AI agents capable of tool use and autonomous decision-making for network operations. You will develop multi-agent workflows that enable AI-driven closed-loop automation – allowing the network to monitor itself, evaluate solutions, and act on issues in real time

Time-Series Modeling: Apply cutting-edge time-series foundation models to telecom data for forecasting and anomaly detection. You will experiment with state-of-the-art architectures (e.g. Transformer-based models) to model temporal patterns in network KPIs and signals, helping predict issues before they arise

Prototype and Deploy Solutions: Work closely with telecom domain experts to define ML project objectives and develop algorithms that meet automation goals. Collaborate with software engineering teams to prototype and deploy your models into Ericsson’s products for telco network operators, ensuring a seamless transition from proof-of-concept to production deployment. You will also enhance the reliability and scalability of these AI models in production environments

Innovate and Experiment: Explore new AI technologies and frameworks (e.g. new open-source LLMs, generative AI APIs, agent-based systems) that could improve network automation. You will stay up-to-date with the latest research in AI/ML and proactively bring in innovations – from novel agent evaluation methods to emerging AI tools – to continuously improve our solutions

Mentorship and Collaboration: Share your expertise by mentoring junior data scientists and fostering a culture of experimentation and knowledge-sharing. Work in a cross-functional setting, partnering with network engineers, data engineers, and product managers to ensure that AI solutions effectively address business needs and can be integrated smoothly into Ericsson’s network management offerings

Qualification

Transformer modelsLarge language modelsMachine learningGenerative AIPythonDeep learning frameworksData analyticsTelecommunications knowledgeCollaborationCommunication

Required

5–7 years of hands-on experience as a data scientist or AI/ML engineer, with a proven track record of delivering ML solutions end-to-end (from exploration to production)

A Bachelor's degree in Computer Science, Data Science, Engineering or related field is required

Deep knowledge of machine learning fundamentals and neural network algorithms, including classic models and modern architectures

Well-versed in Transformer networks and NLP/LLM technologies, as well as other AI techniques like CNNs, RNNs, reinforcement learning, etc

Experience building and refining transformer-based LLMs (e.g., GPT-4, LLaMA, etc.) and familiarity with their open-source implementations and APIs

Hands-on experience with state-of-the-art generative AI tools, fine tuning approaches such as LoRA/GRPO/SFT/RFT, knowledge of MCP and A2A, and platforms

Knowledge of advanced RAG techniques, prompt engineering, and context engineering for improving LLM responses

Understanding of advanced agentic AI concepts (e.g. the ReAct agent paradigm for decision-making) and exposure to frameworks for building AI agents or autonomous workflows

Strong programming skills in Python and proficiency with the modern AI/ML ecosystem

Experience with deep learning frameworks (PyTorch, TensorFlow), NLP libraries (HuggingFace Transformers), and AI orchestration frameworks (such as LangGraph or similar)

Familiarity with data science notebooks, version control, and MLOps tools for model deployment/monitoring

Demonstrated ability to work with large, complex datasets (including time-series data)

Experience in data preprocessing, feature engineering, and vector databases for embeddings

A solid foundation in mathematics, statistics, and probability is required to develop and validate models

Experience in evaluating AI models and designing custom evaluation benchmarks to measure model/agent performance

Familiar with AI safety or reliability considerations in model development

Basic understanding of telecommunications networks – including Radio access networks (RAN), Transport, and Core network domains

Interest in how AI can be applied to network optimization, operations, and automation

Excellent problem-solving skills and ability to communicate complex AI concepts to cross-functional teams

Ability to effectively partner with business stakeholders and engineers, translating requirements into AI solutions and articulating results/insights clearly

Preferred

Master's/Ph.D. preferred

Experience working in an agile, collaborative environment on innovative projects

Knowledge of Ericsson's product portfolio and solutions (for example, our network management tools, OSS/BSS systems, etc.)

Familiarity with industry standards (3GPP, O-RAN) and prior experience in network automation or telecom analytics projects

Experience with AI data cloud platforms such as Snowflake and cloud platforms (AWS, Azure, GCP) for scalable ML

Benefits

Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus.

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.

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 matches $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.

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.

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.

Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.

Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.