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Applied Scientist Ml Java Linux

New York,NY

1115 Applied Scientist Ml Java Linux jobs in New York,NY

New, Posted 1 day ago
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Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) Ads

Amazon.com Services LLC

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

Sign-on payments and restricted stock units (RSUs)
192,200.00 - 260,000.00 USD annually
167,100.00 - 226,100.00 USD annually
183,800.00 - 248,700.00 USD annually
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
5+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience with modeling tools such as R, scikit-learn, Spark MxNet, Tensorflow, numpy, scipy etc.
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Software Development Engineer, ML Systems, Annapurna Labs

Annapurna Labs (U.S.)

New York, NY 10261

Urgently Hiring
New, Posted 13 hours ago
Recommended
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Tech & Data Co-op Spring 2027 (Elevate)

Kenvue

Summit, NJ 07901

$22.75-$26/hr
Hybrid~ 39 minPaid Time Off

The position will pay $22.75 - $26.00/hour based on academic year.
Competitive Benefit Package*
Paid Company Holidays, Paid Vacation, Volunteer Time & More!
Learning & Development Opportunities
Kenvuer Impact Networks
Full time, 40 hours per week, Monday through Friday, from the start of January through end end of June.
Candidates must be legally authorized to work in the United States and must not require sponsorship for employment visa status now or in the future (for example, H-1B status).
Actively enrolled at an accredited university pursuing a bachelor's degree
Ability to work full time, 40 hours per week, Monday through Friday, from the start of January through end end of June.
Minimum cumulative GPA of 3.0 on a 4.0 scale.
Preferred majors include Data Science, Analytics, Computer Science, Computer Engineering, Software Engineering, Information Technology, Management Information Systems, Business Analytics, Digital Product Management, or a related STEM or business field.
Experience with software testing, data validation, requirements documentation, or project coordination through coursework, internships, or student projects is a plus.
Interest in learning, or prior exposure to, one or more of the following areas:
Power BI, Tableau, Google Analytics, Excel, data-quality checks, dashboard validation
Jira, Microsoft 365, Teams, SharePoint, requirements and defect tracking
Data bricks, SQL, Python, JavaScript, automation, AI/ML, generative AI, or cloud-native technologies
Microsoft Azure, Google Cloud, Salesforce, Shopify, or similar platforms
UI/UX design, usability testing, accessibility, and clear visual communication
New, Posted 1 day ago
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Senior Applied Scientist, Entertainment Devices&Grocery Experiences (EDGE) Ads

Amazon.com Services LLC

New York, NY 10261

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Senior Vice President, Full-Stack Engineer

BNY

New York, NY 10007

Urgently Hiring
Recommended
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Remote AI Task Reviewer – Flexible Hours, No Experience Needed

RLDG

Hoboken, NJ 07030

$25/hr
RemoteUrgently Hiring

$25/hr + bonuses
Weekly payouts via direct deposit
Flexible hours: 5–20 hours/week, set your own schedule
Reside in New Jersey, Pennsylvania, Michigan or West Virginia (required)
Able to pass a background and employment credit check
Authorized to work in the U.S.
Have a laptop or tablet to complete tasks
Full training and ongoing support
Full training provided
New, Posted just now
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Senior Data Scientist

Canon U.S.A.

Uniondale, NY 11556

$92,210-$138,080/yr
New, Posted 22 hours ago
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Field Service Representative

Ecolab

New York, NY 10018

OnsiteChildcare AssistanceHealth InsurancePaid Time OffRetirement Benefit

The pay range for this position is $54,300-$81,400.
Starting on Day 1: Access to our comprehensive benefits package including medical, dental, vision, matching 401K, company-paid pension, stock purchase plan, paid parental leave, select discounted childcare resources, and more!
Monday-Friday -8:00AM to 5:00PM
High school diploma or equivalent
3 years of experience in water treatment or an industrial/mechanical environment
Position requires a current and valid Driver's License with no restrictions
Lifting up to 50 pounds
Exposure to hot, cold, noisy, or dirty environments
Stooping, kneeling, crouching, reaching, balancing, walking, standing, climbing
Associate's degree or trade school certification
Experience in water treatment or specialty chemical industry
Familiarity with boilers, cooling towers, and wastewater treatment systems
Proficiency with Microsoft Office Suite
New, Posted 7 hours ago
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Recruiting Systems & Data Integration Engineer

engin sciences

New York, NY 10025

RemoteHealth Insurance

$120000 - $145000 USD per year
Base salary range: $120,000 – $145,000, depending on experience
Meaningful stock options
Competitive salary, meaningful stock options
Full benefits (Health, Dental, Vision)
Professional experience building ATS, HR technology, or recruiting-system integrations.
Familiarity with one or more ATS platforms such as Bullhorn, Avionte, JobDiva, Greenhouse, Lever, Workday, iCIMS, or SmartRecruiters.
Experience integrating third-party systems through REST APIs, webhooks, OAuth, scheduled jobs, file transfers, or data exports.
Strong Node.js, TypeScript and PostgreSQL skills.
Experience modeling and synchronizing interconnected records such as jobs, candidates, applications, submissions, and placements.
Experience designing data synchronization systems where correctness, idempotency, throughput, and recovery from partial failures matter.
Experience processing large volumes of operational data through batching, pagination, incremental synchronization, and backfills.
Strong debugging skills across authentication, data mapping, API behavior, synchronization state, and data quality.
Experience incorporating coding agents into day-to-day software engineering work.
Experience handling sensitive customer and candidate data using appropriate security, privacy, access-control, and data-retention practices.
Experience with staffing-focused platforms such as Bullhorn, Avionte, or JobDiva and their recruiting workflows.
Familiarity with job distribution, candidate intake, submissions, placements, assignments, starts, credentialing, and pay-and-bill data.
Experience integrating recruiting systems with AI screening, matching, interviewing, or candidate engagement products.
Experience defining normalized recruiting models across systems with significantly different schemas and workflow stages.
Experience with XML, feed generation, and XML-based recruiting or job distribution standards.
Familiarity with recruitment marketing attribution, funnel analytics, or operational KPI reporting.
Experience with data reconciliation, historical backfills, migration projects, or customer-specific data repair.
Experience building integrations through reporting interfaces, scheduled exports, SFTP, or other fallback mechanisms when APIs are incomplete.
Experience engineering and monitoring agentic workflows that interact reliably with systems lacking conventional integration interfaces.
Familiarity with data warehouses, analytics pipelines, or business intelligence systems.
Experience working in a small startup environment where engineers own ambiguous technical and customer problems end to end.
New, Posted 12 hours ago
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Director, GTM Economics & Science

Everpure

New York, NY 10007

Onsite

The annual base salary range is:
$211,000—$338,000 USD
This role may be eligible for incentive pay and/or equity.
Flexible time off
Wellness resources
Company-sponsored team events
Deep grounding in causal inference methodologies, including causal forests, treatment-effect heterogeneity, synthetic control, and difference-in-differences analyses.
Advanced proficiency in R, Python, or comparable statistical computing environments (such as causalTree, EconML, or statsmodels) to write clean, repeatable, and production-ready code.
Demonstrated capability to architect, deploy, and scale production-grade causal analyses utilizing messy, complex business datasets (such as CRM, financial systems, or telemetry data) in partnership with data engineering teams.
PhD in Economics, Econometrics, or an equivalent quantitative discipline, such as Applied Economics or Quantitative Marketing, preferred.
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