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Software Developer Intern Finance

Hoboken,NJ

2806 Software Developer Intern Finance jobs in Hoboken,NJ

Featured Opportunity
Year Up United Logo

Year Up United - New York, NY

Entry Level Programming Opportunity
$525/wk
~ 19 min Onsite
New, Posted 18 hours ago
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Software Development Job Training Program

Year Up United

New York, NY 10060

$525/wk
~ 19 min Onsite

Educational stipend
Educational stipend of $525 per week
An average starting salary of fifty-five thousand dollars per year
In-classroom skill development
Access to internships and/or job placement services
Personalized coaching and mentorship
Technical and professional training
Access to internships and job placement support
Available Monday-Friday throughout the duration of the program
A high school graduate or GED recipient
Eligible to work in the U.S.
Available Monday-Friday throughout the duration of the program
Have not obtained a Bachelor?s degree
iHire
Front Desk

Dental Art Concepts PLLC

Staten Island, NY 10309

$20-$25/hr

Franchise opportunity, not a traditional job.

Automotive Tool Sales/Route Manager - Full Training

Manhattan, NY 10025

  • Your truck, your territory, your customers
  • Must be willing to complete a credit check
Mac Tools Logo

Be part of the largest and fastest growing tool company in the world as a Mac Tools franchise owner.

New, Posted 6 hours ago
Easy Apply
Finance Manager

LHH

New York, NY 10025

$130,000-$150,000/yr
Hybrid~ 19 minHealth InsurancePaid Time OffRetirement Benefit

Salary of $130,000 to $150,000 plus equity
$130,000.00 to $150,000.00 per year
Health/dental/vision insurance
401K
Unlimited PTO
2 days in the office is required
At least 3 years of investment banking/M&A; experience required
Advanced Excel skills mandatory
New, Posted 14 hours ago
LinkedIn
2027 Structured Trade Finance Solutions Summer Internship

BBVA

New York, NY 10261

$35/hr
LinkedIn
Marketing And Business Development Intern (Summer 2027)

BrightTower

New York, NY 10261

Recommended
LinkedIn
Robotics Software Engineer Intern

OpenShelf

New York, NY 10261

$22/hr
New, Posted 1 day ago
LinkedIn
Inventory Accounting Manager | AI Hardware/Software Leader | Equity

Advice Personnel

New York, NY 10261

New, Posted 1 day ago
Apply Directly
Software Development Engineer, ML Systems, Annapurna Labs

Annapurna Labs (U.S.)

New York, NY 10261

~ 19 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Your Amazon package will include sign-on payments and restricted stock units (RSUs).
158,100.00 - 213,800.00 USD annually
Amazon also offers comprehensive benefits including 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, and parental leave.
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages.
Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math.
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms
Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization
Experience working with open-source software communities in the optimization space or related areas
Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning
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