Machine Learning Engineer, Digital Experience
About the role
New
Machine Learning Engineer, Digital Experience
Santa Clara, California
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
As a Machine Learning Engineer on the Digital Experience Insights team, you'll help take machine learning models from prototype to production, building the pipelines, infrastructure, and engineering practices that let models run reliably at scale. You'll also build and validate models yourself when needed, but the core of the role is making sure good models actually make it into production and stay healthy once they're there. This role sits within a fast-moving analytics organization where the specific projects shift over time, so we're looking for someone who can adapt their approach to whatever problem is in front of them.
WHAT YOU'LL DO
Productionization: Take models from prototype to production, building reliable, scalable pipelines for training, serving, and inference.
Data & ML Infrastructure: Design and maintain data pipelines, feature stores, and workflow orchestration so models have clean, timely, well-tested inputs.
Monitoring & Reliability: Build monitoring for model performance, data drift, and pipeline health, and respond when something breaks.
Model Development: Build and validate machine learning models and statistical approaches when needed, working closely with the broader data science team on model design.
Cross-Functional Collaboration: Work with Data Scientists, Data Engineers, and Software Engineers to turn open-ended business questions into a clear technical plan and a working production system.
We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related field, or equivalent practical experience.
3-5 years of industry experience in data engineering, ML engineering, or a hybrid data science/engineering role, with a track record of shipping models to production.
Strong software engineering fundamentals in Python and SQL, including writing production-quality, well-tested code.
Hands-on experience with a workflow orchestration tool, such as Airflow or Dagster.
Experience working in a cloud-native environment (AWS, GCP, or Azure).Working knowledge of machine learning and statistical modeling, with familiarity with a library such as Scikit-Learn or PyTorch, and enough grounding to build or extend a model when needed.
Good communication skills, with the ability to explain technical work clearly to non-technical stakeholders.
Comfort working through ambiguity and shifting priorities, and a collaborative approach to working across teams.
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
The Annual Base Salary Range Is:
$180,000 - $270,000 USD
WHAT YOU CAN EXPECT FROM US:
Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
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244 results found
No results found
Afghanistan+93
Åland Islands+358
Albania+355
Algeria+213
American Samoa+1
Andorra+376
Angola+244
Anguilla+1
Antigua & Barbuda+1
Argentina+54
Armenia+374
Aruba+297
Ascension Island+247
Australia+61
Austria+43
Azerbaijan+994
Bahamas+1
Bahrain+973
Bangladesh+880
Barbados+1
Belarus+375
Belgium+32
Belize+501
Benin+229
Bermuda+1
Bhutan+975
Bolivia+591
Bosnia & Herzegovina+387
Botswana+267
Brazil+55
British Indian Ocean Territory+246
British Virgin Islands+1
Brunei+673
Bulgaria+359
Burkina Faso+226
Burundi+257
Cambodia+855
Cameroon+237
Canada+1
Cape Verde+238
Caribbean Netherlands+599
Cayman Islands+1
Central African Republic+236
Chad+235
Chile+56
China+86
Christmas Island+61
Cocos (Keeling) Islands+61
Colombia+57
Comoros+269
Congo - Brazzaville+242
Congo - Kinshasa+243
Cook Islands+682
Costa Rica+506
Côte d’Ivoire+225
Croatia+385
Cuba+53
Curaçao+599
Cyprus+357
Czechia+420
Denmark+45
Djibouti+253
Dominica+1
Dominican Republic+1
Ecuador+593
Egypt+20
El Salvador+503
Equatorial Guinea+240
Eritrea+291
Estonia+372
Eswatini+268
Ethiopia+251
Falkland Islands+500
Faroe Islands+298
Fiji+679
Finland+358
France+33
French Guiana+594
French Polynesia+689
Gabon+241
Gambia+220
Georgia+995
Germany+49
Ghana+233
Gibraltar+350
Greece+30
Greenland+299
Grenada+1
Guadeloupe+590
Guam+1
Guatemala+502
Guernsey+44
Guinea+224
Guinea-Bissau+245
Guyana+592
Haiti+509
Honduras+504
Hong Kong SAR China+852
Hungary+36
Iceland+354
India+91
Indonesia+62
Iran+98
Iraq+964
Ireland+353
Isle of Man+44
Israel+972
Italy+39
Jamaica+1
Japan+81
Jersey+44
Jordan+962
Kazakhstan+7
Kenya+254
Kiribati+686
Kosovo+383
Kuwait+965
Kyrgyzstan+996
Laos+856
Latvia+371
Lebanon+961
Lesotho+266
Liberia+231
Libya+218
Liechtenstein+423
Lithuania+370
Luxembourg+352
Macao SAR China+853
Madagascar+261
Malawi+265
Malaysia+60
Maldives+960
Mali+223
Malta+356
Marshall Islands+692
Martinique+596
Mauritania+222
Mauritius+230
Mayotte+262
Mexico+52
Micronesia+691
Moldova+373
Monaco+377
Mongolia+976
Montenegro+382
Montserrat+1
Morocco+212
Mozambique+258
Myanmar (Burma)+95
Namibia+264
Nauru+674
Nepal+977
Netherlands+31
New Caledonia+687
New Zealand+64
Nicaragua+505
Niger+227
Nigeria+234
Niue+683
Norfolk Island+672
North Korea+850
North Macedonia+389
Northern Mariana Islands+1
Norway+47
Oman+968
Pakistan+92
Palau+680
Palestinian Territories+970
Panama+507
Papua New Guinea+675
Paraguay+595
Peru+51
Philippines+63
Poland+48
Portugal+351
Puerto Rico+1
Qatar+974
Réunion+262
Romania+40
Russia+7
Rwanda+250
Samoa+685
San Marino+378
São Tomé & Príncipe+239
Saudi Arabia+966
Senegal+221
Serbia+381
Seychelles+248
Sierra Leone+232
Singapore+65
Sint Maarten+1
Slovakia+421
Slovenia+386
Solomon Islands+677
Somalia+252
South Africa+27
South Korea+82
South Sudan+211
Spain+34
Sri Lanka+94
St. Barthélemy+590
St. Helena+290
St. Kitts & Nevis+1
St. Lucia+1
St. Martin+590
St. Pierre & Miquelon+508
St. Vincent & Grenadines+1
Sudan+249
Suriname+597
Svalbard & Jan Mayen+47
Sweden+46
Switzerland+41
Syria+963
Taiwan+886
Tajikistan+992
Tanzania+255
Thailand+66
Timor-Leste+670
Togo+228
Tokelau+690
Tonga+676
Trinidad & Tobago+1
Tunisia+216
Turkey+90
Turkmenistan+993
Turks & Caicos Islands+1
Tuvalu+688
U.S. Virgin Islands+1
Uganda+256
Ukraine+380
United Arab Emirates+971
United Kingdom+44
United States+1
Uruguay+598
Uzbekistan+998
Vanuatu+678
Vatican City+39
Venezuela+58
Vietnam+84
Wallis & Futuna+681
Western Sahara+212
Yemen+967
Zambia+260
Zimbabwe+263
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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
As a Machine Learning Engineer on the Digital Experience Insights team, you'll help take machine learning models from prototype to production, building the pipelines, infrastructure, and engineering practices that let models run reliably at scale. You'll also build and validate models yourself when needed, but the core of the role is making sure good models actually make it into production and stay healthy once they're there. This role sits within a fast-moving analytics organization where the specific projects shift over time, so we're looking for someone who can adapt their approach to whatever problem is in front of them.
WHAT YOU'LL DO
Productionization: Take models from prototype to production, building reliable, scalable pipelines for training, serving, and inference.
Data & ML Infrastructure: Design and maintain data pipelines, feature stores, and workflow orchestration so models have clean, timely, well-tested inputs.
Monitoring & Reliability: Build monitoring for model performance, data drift, and pipeline health, and respond when something breaks.
Model Development: Build and validate machine learning models and statistical approaches when needed, working closely with the broader data science team on model design.
Cross-Functional Collaboration: Work with Data Scientists, Data Engineers, and Software Engineers to turn open-ended business questions into a clear technical plan and a working production system.
We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related field, or equivalent practical experience.
3-5 years of industry experience in data engineering, ML engineering, or a hybrid data science/engineering role, with a track record of shipping models to production.
Strong software engineering fundamentals in Python and SQL, including writing production-quality, well-tested code.
Hands-on experience with a workflow orchestration tool, such as Airflow or Dagster.
Experience working in a cloud-native environment (AWS, GCP, or Azure).Working knowledge of machine learning and statistical modeling, with familiarity with a library such as Scikit-Learn or PyTorch, and enough grounding to build or extend a model when needed.
Good communication skills, with the ability to explain technical work clearly to non-technical stakeholders.
Comfort working through ambiguity and shifting priorities, and a collaborative approach to working across teams.
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
WHAT YOU CAN EXPECT FROM US:
Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
244 results found
No results found
Afghanistan+93
Åland Islands+358
Albania+355
Algeria+213
American Samoa+1
Andorra+376
Angola+244
Anguilla+1
Antigua & Barbuda+1
Argentina+54
Armenia+374
Aruba+297
Ascension Island+247
Australia+61
Austria+43
Azerbaijan+994
Bahamas+1
Bahrain+973
Bangladesh+880
Barbados+1
Belarus+375
Belgium+32
Belize+501
Benin+229
Bermuda+1
Bhutan+975
Bolivia+591
Bosnia & Herzegovina+387
Botswana+267
Brazil+55
British Indian Ocean Territory+246
British Virgin Islands+1
Brunei+673
Bulgaria+359
Burkina Faso+226
Burundi+257
Cambodia+855
Cameroon+237
Canada+1
Cape Verde+238
Caribbean Netherlands+599
Cayman Islands+1
Central African Republic+236
Chad+235
Chile+56
China+86
Christmas Island+61
Cocos (Keeling) Islands+61
Colombia+57
Comoros+269
Congo - Brazzaville+242
Congo - Kinshasa+243
Cook Islands+682
Costa Rica+506
Côte d’Ivoire+225
Croatia+385
Cuba+53
Curaçao+599
Cyprus+357
Czechia+420
Denmark+45
Djibouti+253
Dominica+1
Dominican Republic+1
Ecuador+593
Egypt+20
El Salvador+503
Equatorial Guinea+240
Eritrea+291
Estonia+372
Eswatini+268
Ethiopia+251
Falkland Islands+500
Faroe Islands+298
Fiji+679
Finland+358
France+33
French Guiana+594
French Polynesia+689
Gabon+241
Gambia+220
Georgia+995
Germany+49
Ghana+233
Gibraltar+350
Greece+30
Greenland+299
Grenada+1
Guadeloupe+590
Guam+1
Guatemala+502
Guernsey+44
Guinea+224
Guinea-Bissau+245
Guyana+592
Haiti+509
Honduras+504
Hong Kong SAR China+852
Hungary+36
Iceland+354
India+91
Indonesia+62
Iran+98
Iraq+964
Ireland+353
Isle of Man+44
Israel+972
Italy+39
Jamaica+1
Japan+81
Jersey+44
Jordan+962
Kazakhstan+7
Kenya+254
Kiribati+686
Kosovo+383
Kuwait+965
Kyrgyzstan+996
Laos+856
Latvia+371
Lebanon+961
Lesotho+266
Liberia+231
Libya+218
Liechtenstein+423
Lithuania+370
Luxembourg+352
Macao SAR China+853
Madagascar+261
Malawi+265
Malaysia+60
Maldives+960
Mali+223
Malta+356
Marshall Islands+692
Martinique+596
Mauritania+222
Mauritius+230
Mayotte+262
Mexico+52
Micronesia+691
Moldova+373
Monaco+377
Mongolia+976
Montenegro+382
Montserrat+1
Morocco+212
Mozambique+258
Myanmar (Burma)+95
Namibia+264
Nauru+674
Nepal+977
Netherlands+31
New Caledonia+687
New Zealand+64
Nicaragua+505
Niger+227
Nigeria+234
Niue+683
Norfolk Island+672
North Korea+850
North Macedonia+389
Northern Mariana Islands+1
Norway+47
Oman+968
Pakistan+92
Palau+680
Palestinian Territories+970
Panama+507
Papua New Guinea+675
Paraguay+595
Peru+51
Philippines+63
Poland+48
Portugal+351
Puerto Rico+1
Qatar+974
Réunion+262
Romania+40
Russia+7
Rwanda+250
Samoa+685
San Marino+378
São Tomé & Príncipe+239
Saudi Arabia+966
Senegal+221
Serbia+381
Seychelles+248
Sierra Leone+232
Singapore+65
Sint Maarten+1
Slovakia+421
Slovenia+386
Solomon Islands+677
Somalia+252
South Africa+27
South Korea+82
South Sudan+211
Spain+34
Sri Lanka+94
St. Barthélemy+590
St. Helena+290
St. Kitts & Nevis+1
St. Lucia+1
St. Martin+590
St. Pierre & Miquelon+508
St. Vincent & Grenadines+1
Sudan+249
Suriname+597
Svalbard & Jan Mayen+47
Sweden+46
Switzerland+41
Syria+963
Taiwan+886
Tajikistan+992
Tanzania+255
Thailand+66
Timor-Leste+670
Togo+228
Tokelau+690
Tonga+676
Trinidad & Tobago+1
Tunisia+216
Turkey+90
Turkmenistan+993
Turks & Caicos Islands+1
Tuvalu+688
U.S. Virgin Islands+1
Uganda+256
Ukraine+380
United Arab Emirates+971
United Kingdom+44
United States+1
Uruguay+598
Uzbekistan+998
Vanuatu+678
Vatican City+39
Venezuela+58
Vietnam+84
Wallis & Futuna+681
Western Sahara+212
Yemen+967
Zambia+260
Zimbabwe+263
Wonder how or why Pure collects or uses any information you provide? Check out our Applicant & Candidate Personal Information Protection Notice.
US export law restricts Everpure from employing citizens of sanctioned nations (such as Syria, Cuba, Iran, and North Korea FULL LIST) who do not hold a second nationality or permanent residence in a non-sanctioned nation. Does this rule affect your employment by Everpure?
Responsibilities
- Take models from prototype to production, building reliable, scalable pipelines for training, serving, and inference.
- Design and maintain data pipelines, feature stores, and workflow orchestration.
- Build monitoring for model performance, data drift, and pipeline health.
- Build and validate machine learning models and statistical approaches.
- Work with Data Scientists, Data Engineers, and Software Engineers.
Qualifications
- Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related field.
- 3-5 years of industry experience in data engineering, ML engineering, or a hybrid data science/engineering role.
- Strong software engineering fundamentals in Python and SQL.
- Hands-on experience with a workflow orchestration tool.
- Experience working in a cloud-native environment.
Benefits
- Flexible time off
- Wellness resources
- Company-sponsored team events
Skills mentioned
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Visalytics is an immigration intelligence platform that brings together the information you need to navigate your employment-based visa journey. The data that shapes petition outcomes, from adjudicated case decisions and government performance statistics to labour market positioning, policy changes, and field benchmarks, is scattered across dozens of sources that nobody has connected. Visalytics structures and cross-references all of it. Whether you're evaluating your chances, identifying evidence gaps, preparing for RFEs, or tracking policy shifts that affect your case, the platform surfaces what matters at every stage.