Hewlett Packard Enterprise · 2 days ago
HPE Labs – AI/ML Engineer III Graduate
Santa Barbara, California, United States of America
Full-time
Onsite
Mid, Senior Level
$126K/yr - $240K/yr
4+ years expHewlett Packard Enterprise is a global edge-to-cloud company that is seeking an AI/ML Engineer III Graduate to develop and program integrated software algorithms for analyzing structured and unstructured data. The role involves conducting advanced research in AI and machine learning, designing AI solutions, and providing technical guidance to junior team members.
Data CenterEnterprise SoftwareInformation TechnologyIT ManagementNetwork Security
Responsibilities
Responsible for conducting advanced research in AI and machine learning. This includes staying up to date with the latest advancements in the field, exploring emerging technologies, and identifying opportunities to apply cutting-edge techniques to solve complex business problems
Tasked with designing and architecting AI solutions for complex problems. This involves analyzing business requirements, understanding constraints, and proposing appropriate machine learning models and algorithms
Responsible for considering scalability, performance, and maintainability while designing the solution
Provides technical guidance and mentorship to junior team members. This includes sharing best practices, reviewing code and designs, and helping team members overcome technical challenges. Participate in technical discussions and provide thought leadership within the organization
Works closely with stakeholders, such as product managers, data scientists, and business analysts, to understand their requirements and translate them into technical solutions. Collaborate with cross-functional teams to ensure alignment and successful AI and machine learning project implementation
Responsible for driving continuous improvement and innovation in the organization's AI and machine learning practices. This involves identifying areas of improvement, exploring new techniques or technologies, and promoting the adoption of best practices
Be involved in evaluating and integrating third-party tools or services that can enhance the capabilities of AI solutions
Facilitates design review sessions for your projects, ensuring alignment with project requirements and best practices
Mentor junior team members during review sessions
Collaborates closely with the engineering manager and team lead to refine and iterating on design and implementation strategies, providing constructive feedback to peers
Participates in and coordinates meetings, ensuring effective coordination and communication among team members
Independently prepares and delivers detailed presentations and reports to stakeholders, translating complex technical concepts into understandable terms for non-technical audiences
May be required to interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods
May be involved in the design and development of solutions to complex application problems, system administration issues, or network concerns, where applicable to the role
Qualification
Required
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 4-7 years' experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
Proficient in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics
A strong foundation in mathematics and statistics
In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
Understanding and developing complex machine learning models and algorithms
Proficiency in programming languages such as Python, R, or Java
Experience developing production-level code and familiarity with software engineering best practices, version control systems (e.g., Git), and software development methodologies
Advanced knowledge and experience in deep learning
Understanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning
Actively staying updated with the latest AI and machine learning research advancements
Experience conducting research, exploring emerging technologies, and identifying opportunities to apply state-of-the-art techniques to solve complex problems
Provide technical leadership, mentorship, and guidance to junior team members
Must have excellent communication skills to collaborate with cross-functional teams and stakeholders effectively
Possess strong problem-solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges
Preferred
Master's degree is desirable
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras is a plus
Benefits
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion
Company
Hewlett Packard Enterprise
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
10001+ employees
H1B Sponsorship
Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)
Funding
Current Stage
Public CompanyTotal Funding
$2.85BKey Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO
Leadership Team
Antonio Neri
President & CEO
Fidelma Russo
EVP & GM, Hybrid Cloud and Chief Technology Officer
Recent News
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