Senior Staff Software Engineer Data Science & ML, Agentic Automation for Business Tools
Job Summary
About Marvell
Marvells semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise cloud and AI and carrier architectures our innovative technology is enabling new possibilities.
At Marvell you can affect the arc of individual lives lift the trajectory of entire industries and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation above and beyond fleeting trends Marvell is a place to thrive learn and lead.
Your Team Your Impact
Marvell is a leading provider of innovative technologies including ultra-fast read channels high-performance processors leading edge transceivers highly efficient analog designs and powerful cryptographic engines. These solutions address all segments of the hard disk drive (HDD) and solid-state drive (SSD) electronics markets providing complete solutions including controllers product firmware and reference board designs. Many of the same technologies have been utilized in Marvell system solutions products powering PCs servers cloud and enterprise systems.What You Can Expect
What youll do
- Design develop and deploy machine learning models to build AI-powered business applications.
- Work withdatasets to build train and evaluate predictive models and algorithms.
- Collaborate with cross-functional teams to understand business objectives and translate them into machine learning solutions.
- Conductdatapreprocessing feature engineering anddataanalysis to derive actionable insights.
- Optimize models for performance and scalability in production environments.
- Stay up-to-date with the latest developments in AI and machine learning implementing best practices to ensure robust and efficient models.
- Conduct experiments tune hyperparameters and apply advanced techniques to improve model accuracy and efficiency.
- Develop automation solutions that remove repetitive manual steps ensuring consistent execution and reducing operational overhead.
- Build secure compliant infrastructure and automation workflows that safeguarddata enforce policy requirements and reduce security risk across environments.
- Mentor junior team members and contribute to knowledge sharing across the team.
What Were Looking For
Qualifications
- Bachelors degree and 5-10 years of experience or Masters degree and 3-5 years of experience in ComputerScienceDataScience Machine Learning or related fields.
- Strong background in machine learning algorithms statistical modeling anddataanalysis with track record of deployment at scale
- Proficiency in Python R or a similar programming language fordatamanipulation and model development.
- Experience with machine learning frameworks such as TensorFlow and PyTorch.
- Solid understanding ofdatastructures algorithms and software development principles.
- Knowledge of bigdatatechnologies such as Hadoop or Spark
- Hands-on experience with cloud platforms like AWS GCP or Azure for deploying machine learning models.
- Familiarity withdatavisualization tools like Matplotlib Seaborn or similar.
- Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications
- Experience with deep learning reinforcement learning or natural language processing.
- Prior experience working in an AI-driven company or startup environment.
Expected Base Pay Range (USD)
132500 - 196140 $ per annumThe successful candidates starting base pay will be determined based on job-related skills experience qualifications work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional comprehensive benefits that support our employees at every stage - from internship to retirement and through lifes most important moments. Our offerings are built around four key pillars: financial well-being family support mental and physical health and recognition. Highlights include an employee stock purchase plan with a 2-year look back family support programs to help balance work and home life robust mental health resources to prioritize emotional well-being and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.All qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at .
Interview Integrity
To support fair and authentic hiring practices candidates are not permitted to use AI tools (such as transcription apps real-time answer generators like ChatGPT or Copilot or automated note-taking bots) during interviews.
These tools must not be used to record assist with or enhance responses in any way. Our interviews are designed to evaluate your individual experience thought process and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations including the Export Administration Regulations (EAR). As such applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens lawful permanent residents or protected individuals as defined by 8 U.S.C. 1324b(a)(3) all applicants may be subject to an export license review process prior to employment.
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About Company
Designed for your current needs and future ambitions, Marvell delivers the data infrastructure technology transforming tomorrow’s enterprise, cloud, automotive, and carrier architectures for the better.