Machine Learning Engineer Jobs in Longmont, CO (NOW HIRING)

AI Engineering ManagerThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

Job Family Definition:

Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments.
Uses machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.
Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.

Management Level Definition:

Applies expert subject matter knowledge to manage staff activities in solving most complex business/technical issues within established policies. Manages activities of exempt individual contributors (typically Expert/Master) and/or MG1s. Has accountability for a large multi-department area(s) or location(s) with significant impact on business unit results and organizational strategy. Acts as a key advisor to senior management on the development of overall policies and long-term goals of the organization. Plans, manages, and monitors high-end operational/tactical activities of Staff. Staff members' primary focus is on either high-end tactical or broad strategic issues or a combination of both. Recruits and supports development of direct staff members. Position typically reports to Director or above.
Additional Guidance/Criteria: Manages and controls activities within a sub-region or Region; Typically manages 10 or more direct reports. Span of Control guidelines may differ from these numbers.

Responsibilities:

• Develops and drives the organization's AI and machine learning strategy, aligning it with overall business objectives.
• Identify new opportunities for AI and machine learning applications, evaluate emerging technologies and trends, and provide thought leadership on implementing innovative solutions to gain a competitive edge.
• Leads and manages a team of AI and machine learning professionals, including data scientists, machine learning engineers, and AI specialists. Provide mentorship, guidance, and career development support. Allocate resources effectively, ensure high team performance, and foster a collaborative and innovative work culture.
• Oversees complex AI and machine learning projects from conception to deployment. Defines project scope, objectives, timelines, and resource requirements. Coordinates cross-functional teams, manages project risks, and ensures successful delivery while adhering to quality standards and stakeholder expectations.
• Stays abreast of the latest advancements in AI and machine learning technologies, algorithms, and methodologies.
• Provides technical leadership and guidance to the team, evaluates and implements advanced models and algorithms, and promotes innovation in applying AI and machine learning to solve complex business problems.
• Collaborates closely with key stakeholders, including senior management, business leaders, and domain experts, to understand their needs and translate them into AI and machine learning solutions.
• Communicates effectively to non-technical stakeholders, articulates the value proposition of AI and machine learning initiatives, and provides regular updates on project progress, outcomes, and strategic insights.

Education and Experience Required:

• Bachelor's degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline. With a typically of 7-15 years' experience including 5 or more years of people management experience, Advanced Degree (Master's or Ph.D.) is strongly preferred.

Knowledge and Skills:

• Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders.
• Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results.
• Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus.
• Strong understanding of data privacy, security, and ethical considerations in AI and machine learning.
• Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R.
• Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#unitedstates

Job:

Engineering

Job Level:

Manager_2The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 168,000 - 386,000 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is October 1 2026; this timeline is provided for transparency and internal planning purposes.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.