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Full Stack Developer

Hightstown,NJ

3910 Full Stack Developer jobs in Hightstown,NJ

New, Posted 19 hours ago
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Full Stack Developer

Insight Global

Trenton, NJ 08609

New, Posted 19 hours ago
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Full Stack Web Developer

National Basketball Players Association (NBPA)

New York, NY 10261

New, Posted 19 hours ago
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Java Full Stack Developer

hcltech

Edison, NJ 08818

$77,000/yr
New, Posted 19 hours ago
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Lead Developer - Mean/Mern Stack/ AI

Vertex Solutions

Princeton, NJ 08543

New, Posted 19 hours ago
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Full-stack Software Engineer - Healthcare Digital & AI Solutions

Alcimed

Princeton, NJ 08543

New, Posted 19 hours ago
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Full Stack Engineer

Mriti InfoSystems

Raritan, NJ 08869

New, Posted 19 hours ago
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Java Full Stack Engineer

The Custom Group of Companies

New York, NY 10261

$50-$90/hr
New, Posted 19 hours ago
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Full Stack Tech Lead

Roc360

New York, NY 10261

New, Posted 1 day ago
Seasonal Package Handler (Warehouse like)

FedEx

Fairless Hills, PA 19030

$19.55-$20.55/hr
~ 33 min OnsiteUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time Off

Competitive wages beginning at $19.55  paid weekly
Overtime paid after 40 hours a week.
$19.55 - $20.55 / hour
$5,250 tuition reimbursement every year with no lifetime cap! All employees are eligible for this awesome benefit on their first day of employment!
Generous paid time off program – work your way up to 5 weeks of PTO a year!
Medical, dental and vision benefits after a short waiting period.
Valuable employee discounts on things like cell phone plans, electronics, cars and restaurants.
Free Purple Pathways career development program for all Federal Express Corporation (FEC) employees.
Paid parental leave for both moms and dads!
Both full and part time opportunities
Part time Federal Express Corporation (FEC) employees work one shift a day; full time Federal Express Corporation (FEC) employees work two shifts.
Generally part time employees work between 3 and 6 hours a day. Full time employees can expect to work between 6 and 10 hours.
Early Morning Shift, Mid-day Shift, Evening Shift and Overnight Shift.
New, Posted 3 hours ago
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Software Development Engineer, Generative AI, Annapurna Labs - Neuroboros Team

Annapurna Labs (U.S.)

New York, NY 10261

~ 1 hr 6 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Sign-on payments
Restricted stock units (RSUs)
158,100.00 - 213,800.00 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
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
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language
3+ years of relevant, broad engineering experience.
Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages.
Hands-on technical experience working in the Generative AI space
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
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
Bachelor's degree in computer science or equivalent
Bachelor's or Master's degree in computer science or equivalent
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
Domain-level knowledge of AWS services
Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning
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