6092 2025 Women Innovators Program jobs in New York,NY

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

$117,000-$140,400/Annual

Competitive base pay

Comprehensive and competitive benefits that support you and your family in every aspect of life

Amazing benefits

Day

Full time day position

Available 24/7 via pager

High School Diploma or GED

Minimum of 7-10 years construction supervision in major healthcare center of other organization with similar responsibilities

Proficiency in the use of Microsoft Office programs including Outlook, Word and Excel

Knowledge in the use of CMMS systems to organize and track staff work performance

Available 24/7 via pager

All employees should live within a commutable distance to NYP

Eligible external hires may receive a $2500 sign-on bonus and new hire incentives up to $7500.

Premium pay such as overtime, shift differential, holiday pay, allowances, etc.

Commission based position with the potential to earn more.

$37,000.00 - $64,000.00.

Medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D; insurance, identity theft protection, pet insurance and group home & auto insurance.

A matched 401(k) savings plan

Up to 8 company paid holidays per year

Up to 6 personal days per year

Paid parental leave

Adoption assistance

Tuition assistance

Up to 15 days of vacation per year

40

Bachelor's degree or four or more years of work experience.

Three or more years of relevant work experience.

Willingness to work in a mobile working model with travel within your assigned geographic sales territory. Expected travel may be up to approximately 50% of the time.

Valid driver's license.

A degree - Associates or Bachelor's Degree or related certifications/college courses.

Two or more years of business-to-business or outside sales experience, including business acquisition and prospecting/cold calling.

Technology sales and educational experience, e.g., SaaS sales experience, CRM, Salesforce or other client management tools, social media, etc.