Machine Learning Engineer, Digital Experience

Visalytics
Santa Clara, California, United StatesFull-time$180,000–$270,000Posted Sep 18, 2026

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.

Create a Job Alert

Interested in building your career at Everpure? Get future opportunities sent straight to your email.

Create alert

Apply for this job

indicates a required field

First Name*

Last Name*

Email*

Phone

Country*

Phone*

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

Location (City)*

Resume/CV*

Attach

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Attach

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School

Select...

Degree

Select...

Discipline

Select...

Have you previously worked for Everpure (formerly Pure Storage)?*

Select...

LinkedIn Profile

Who is your current (or most recent) employer?*

What is your current (or most recent) title?*

How did you hear about this job?

Personal Information Policy *

Acknowledge/Confirm

Wonder how or why Pure collects or uses any information you provide? Check out our Applicant & Candidate Personal Information Protection Notice.

Does the deemed export rule affect your employment by Everpure ?*

Select...

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?

Are you authorized to work in the country you are applying to work in?*

Select...

Will you now or in the future require sponsorship for employment visa status?*

Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Everpure’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Gender

Select...

Are you Hispanic/Latino?

Select...

Race & Ethnicity Definitions

If You Believe You Belong To Any Of The Categories Of Protected Veterans Listed Below, Please Indicate By Making The Appropriate Selection. As a Government Contractor Subject To The Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), We Request This Information In Order To Measure The Effectiveness Of The Outreach And Positive Recruitment Efforts We Undertake Pursuant To VEVRAA. Classification Of Protected Categories Is As Follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Veteran Status

Select...

Voluntary Self-Identification of Disability

Form CC-305

Page 1 of 1

OMB Control Number 1250-0005

Expires 07/31/2029

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A Disability Is a Condition That Substantially Limits One Or More Of Your “major Life Activities.” If You Have Or Have Ever Had Such a Condition, You Are a Person With a Disability. Disabilities Include, But Are Not Limited To:

Alcohol or other substance use disorder (not currently using drugs illegally)

Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS

Blind or low vision

Cancer (past or present)

Cardiovascular or heart disease

Celiac disease

Cerebral palsy

Deaf or serious difficulty hearing

Diabetes

Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders

Epilepsy or other seizure disorder

Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome

Intellectual or developmental disability

Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD

Missing limbs or partially missing limbs

Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports

Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)

Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities

Partial or complete paralysis (any cause)

Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema

Short stature (dwarfism)

Traumatic brain injury

Disability Status

Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.

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

PythonSQLMachine LearningScikit-learnData EngineeringData PipelinesApache AirflowMLOpsModel DeploymentModel Monitoring

About Visalytics

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.

Data Infrastructure and Analytics2-10 employeesNew York