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Remote Machine Learning Jobs in Worcester, MA (NOW HIRING)

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Remote Machine Learning information

See Worcester, MA salary details

$25.4K

$42.5K

$87.8K

How much do remote machine learning jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote machine learning in Worcester, MA is $42,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Worcester, MA?

The most popular types of Machine Learning jobs in Worcester, MA are:

What are popular job titles related to Remote Machine Learning jobs in Worcester, MA?

For Remote Machine Learning jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Worcester, MA look for?

The top searched job categories for Remote Machine Learning jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Machine Learning jobs?

Cities near Worcester, MA with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $42,491 per year, or $20.4 per hour.

Senior Distinguished Technologist - Pre-Sales AI & Data Center Networking

Westford, MA • Remote

Hewlett Packard Enterprise Development LP
IT Services • 10K+ employees
Learn more about Hewlett Packard Enterprise Development LPexternal

Full-time

Re-posted 13 days ago

Hewlett Packard Enterprise rating

8.8

Company rating: 8.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Senior Distinguished Technologist - Pre-Sales AI & Data Center NetworkingThis role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.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. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

Senior Distinguished Technologist - Pre-Sales AI & Data Center Networking

About HPE Networking & The Role

HPE Networking simplifies networking through innovative, software-defined products and solutions for cloud, AI, and data center environments.HPE Networkingdevelopsindustry-leading technologies that are ever more software-defined, helping to answer the most challenging issues in connectivity. Digital transformation is everywhere, with technologies such as Multi-Cloud, Cybersecurity, Automation, IoT, AI, Machine Learning, and 5G driving the next waves of innovation.

Our Sales Engineering team empowers customers and partners to solve complex challenges with scalable, secure networking solutions.If you have over-the-top technical capability and curiosity; if you can influence both technical and business partners by translating business goals and challenges into technical solutions while differentiatingHPEfrom competing solutions; if your interpersonal and high-impact presentation skills evoke passion and confidence; if you're a born problem-solver that loves to get into the details and have a burning desire to answer the hard problems in a constantly evolving, results-oriented industry -HPE Networkingis the place for you!

We are seeking a Senior Distinguished Technologist to lead architecture and solution design for AI/MLNetworkingInfrastructure, Data Center, and WAN networking opportunities globally. This role requires deep technicalexpertise,experience,creative problem-solving, and strong customer engagement skills to influence and shape multi-billion-dollardeals.

WhatYou'llDo

  • Act as aprimary technicalarchitect early in complex sales cycles, working independently or with Sales Engineers to translate business needs into scalable technical solutions.

  • Architect end-to-end networking infrastructure solutions with strongexpertisein datacenter, AI networking, hyperscale environments, and WAN technologies.

  • Lead solution design and customization, orchestrating input from specialists, systems engineers, and product teams to meet customer requirements.

  • Deliver compelling demos, proof-of-concepts, and technical presentations that clearly articulateHPE Networking'svalue in customer use cases.

  • Engage withhyperscalers, large enterprises,service providersand technology partners to co-design solutions addressing emerging challenges across industries and workloads.

  • Influence technical strategy throughout deal validation, solutioning, and initial execution, ensuring smooth handoff to delivery teams.

  • Develop best practices, enablement collateral, and architecture playbooks to scale solutions internally and with partners.

  • Mentor and provide technical leadership to junior technologists and sales engineering teams.

  • Navigate and adapt through complex technology transitions,maintainingthought leadership in networking innovations and industry trends.

RoleRequirements

  • Bachelor's degree in engineeringor related fieldrequired, advanced degree preferred

  • 20+ years of technical experience in network infrastructureArchitecture,design and solutionsconsulting,designinglarge-scale AI, Cloud DataCenterinHyperscale networking environments.

  • 20+years ofindustryexperienceapplying technicalexpertisewithJunOS, EOS, IOS and hyperscale network architecture frameworks. JNCIE or equivalent certification.

  • Experience presenting and driving technology thought leadership at relevant industry events, and experience driving standards and other forward-looking initiatives with relevant standards bodies such as OCP, IETF, UEC, IEEE....etc.

  • Deep hands-onexpertisewithhyperscalerouting,MPLS traffic engineering,switching, SDN overlays (EVPN/VXLAN, MP-BGP),Network Fabrics and DCI solutions,networkprovisioning,automationand monitoring(Apstra, Paragon,NETCONF/REST APIs, YANG),and

  • Familiarity with major networking silicon,hardwareplatformsand related software(e.g., Juniper, Arista,Cisco,SONiC, Cumulusetc.)

  • SME inVirtualization technologies on x86 and scaling using technologies such DPDK, SR-IOV,SmartNICsetc.

  • Proven success in complex pre-sales roles, witha strongability to build relationships with senior technical andC-Levelstakeholders.

  • Experience with programming/scripting (Python, APIs,JSONetc.) to enable solution integration and automation.

  • Strong communication, presentation, and interpersonal skills with the ability to influence diverse technical and business audiences.

  • Demonstrated experience designing&developing playbooks, and deliveringdemonstrationsor livewalk throughs fora complex variety of networking products, solutions,toolsand services

  • Experience preparing RFP/Tender response documents like compliancetothe RFP, bill of materials, commercial/pricing, and solution documents to drive a successful response.

  • Willingness to travel up to 50%, including international travel on short notice.

What We Can Offer You:

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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#executive, #networking

Job:

Sales

Job Level:

TCP_08The 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 293,000 - 587,000 in Massachusetts // 293,000 - 624,000 in California & New York // 257,500 - 624,000 in North Carolina & Texas
This range reflects the minimum to maximum combined base and target-level sales compensation that would be paid if the hire performs at 100% of their sales plan. Of that on-target pay amount, the mix of base salary and target-level sales compensation is 75%/25%.

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

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

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.

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