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Artificial Intelligence/ Machine Learning Engineer

Date:Oct 28, 2025

Company: Skyworks

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 76495

Description

Seeking a passionate, hands on technical AI /ML engineer to join our growing team and solve exciting engineering problems in semiconductor space. The nature of problems are wide ranging giving an opportunity to grow continuously. This position will work closely with multidisciplinary team, product managers, data engineers, data scientists, and business stakeholders to bring AI solutions to production.

Responsibilities

+ Design and Develop ML Models for high impact engineering solutions. Build, train, and optimize machine learning and deep learning models to solve complex problems using natural language processing, computer vision, and predictive analytics. Knowledge of python, Pytorch, agentic frameworks, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute.

+ Data Collection and Preprocessing: Python preprocessing for structured and unstructured data [numeric, images, videos and documents)

+ Feature Engineering: Identify, extract, and transform relevant features from raw data to improve model performance and interpretability.

+ Model Evaluation and monitoring: Assess model accuracy and robustness using statistical metrics and validation techniques.

+ Deployment and Integration: Knowledge of Kubernetes, Flask, Ray Serve, Azure Devops, ONNX, or cloud-based solutions.

+ Research and Innovation: Stay abreast of the latest developments in AI/ML research and technologies. Experiment with new algorithms, tools, and frameworks to drive innovation and maintain a competitive edge.

+ Documentation and Reporting: Create comprehensive documentation of model architecture, data sources, training processes, and evaluation metrics. Present findings and recommendations to both technical and non-technical audiences.

Ethics and Compliance: Uphold ethical standards and ensure compliance with regulations governing data privacy, security, and responsible AI deployment.

Required Experience and Skills

+ Position requires a bachelor's degree and 5+ years of experience

+ Preference for bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 3+ years of professional experience in machine learning, artificial intelligence, or related fields. A PhD or relevant research experience would be a plus.

+ Hands-on experience with neural networks, deep learning, and architectures such as CNNs, RNNs, Transformers and Generative AI.

+ Exposure to MLOps practices: monitoring, scaling, and automating ML workflows

+ Experience with big data platforms: Databricks, Hadoop, Spark, Dataflow, etc.

+ Familiarity with advanced topics such as reinforcement learning, generative models, or explainable AI

Desired Experience and Skills

+ Proficiency in programming languages such as Python (preferred), Java, Csharp, or C++

+ Deep understanding of machine learning frameworks: PyTorch, scikit-learn, Keras, etc.

+ Experience with data manipulation tools: NumPy, SQL, Pandas

+ Solid grasp of statistics, probability theory, and linear algebra

+ Familiarity with cloud and Data computing platforms: Azure, Azure DevOps, DataBricks GCP

+ Knowledge of containerization and orchestration: Docker, Kubernetes

+ Experience in deploying machine learning models to production

+ Understanding of software engineering best practices: version control (Git), unit testing, CI/CD pipelines

The typical base pay range for this role across the U.S. is currently USD $91,200 - $177,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at [email protected].

Nearest Major Market:Irvine CaliforniaNearest Secondary Market:Los Angeles Job Segment: Cloud, Test Engineer, Testing, Software Engineer, Computer Science, Technology, Engineering

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