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About the Role

Join a team building AI capabilities that power next-generation telecommunications solutions. This is a hands-on technical role for an experienced professional with approximately 6+ years of industry experience who enjoys solving complex AI challenges and collaborating across disciplines.

Responsibilities

• Design, develop, and optimize Transformer-based and other deep learning models
• Evaluate emerging AI architectures and recommend evidence-based improvements
• Build and maintain reference implementations using PyTorch or JAX
• Develop reproducible experiments and benchmark model accuracy, latency, and resource utilization
• Fine-tune foundation models for telecommunications and enterprise use cases
• Work with data scientists to prepare datasets and evaluation pipelines
• Partner with software engineering teams to integrate models into production environments
• Identify performance bottlenecks and recommend optimization strategies
• Document model designs, assumptions, and validation results clearly
• Support the growth of junior team members and contribute to shared engineering best practices

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI, Machine Learning, or a related field
• 6+ years of industry experience developing machine learning or AI solutions
• Solid experience with PyTorch, JAX, or TensorFlow
• Strong understanding of Transformer architectures, attention mechanisms, embeddings, and LLM fundamentals
• Proficiency in Python and modern ML development workflows
• Familiarity with model evaluation, experimentation, and performance analysis
• Experience with Git and collaborative software development practices
• Clear communication skills and ability to work effectively across teams
• Experience with Generative AI and Large Language Models
• Background applying AI to wireless communications, networking, or telecommunications
• Familiarity with Hugging Face, ONNX, MLFlow, Ray, or similar ML tooling
• Experience with distributed training or inference optimization
• Knowledge of MLOps and CI/CD practices for AI systems

Skills

• PyTorch
• JAX
• TensorFlow
• Python
• Git
• Transformer architectures
• Attention mechanisms
• Embeddings
• LLM fundamentals
• Generative AI
• Large Language Models
• Hugging Face
• ONNX
• MLFlow
• Ray
• MLOps
• CI/CD

Location

• Austin, Texas

Work Type

• Hybrid

Experience Level

• 6+ years of industry experience

Education Level

• Bachelor's degree
• Master's degree

Salary/Compensations

• 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
• Opportunity for an annual bonus based on business and individual performance

Benefits

• Choice of three medical plan options
• Dental plan option
• Company credits towards medical and dental premiums
• 401(k) Plan with automatic 3% company contribution
• Company match for 401(k) contributions
• Company-paid basic life insurance
• Company-paid basic accidental death and dismemberment coverage
• Company-paid short-term disability coverage
• Company-paid long-term disability coverage
• Option to participate in 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

About the Company

• 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

Equal Opportunity

• 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.