5085 Bioengineering jobs in Ozone Park,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

The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year.

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience

7+ years of combined experience across security operations, incident response, and software engineering

Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing

Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks

Experience with SOAR/automation and detection engineering (detection-as- code)

Data engineering skills, including working with large security datasets, APIs, and pipelines

Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK; framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL

Cloud security and cloud-platform experience

Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10

Applicants must be authorized to work for ANY employer in the U.S.

Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered

MLOps experience deploying and maintaining models in production

Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM