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Software Engineer Ai Model Training Jobs in Paramus, NJ

The Software Engineer - AI will contribute to AI agent development and collaborate with cross-functional teams on the implementation of production-grade AI systems. This role supports Engineering ...

Senior Software Engineer - AI/ML

New York, NY ยท On-site

$150K - $200K/yr

About the Role Artian AI is looking for a Senior Software Engineer - AI/ML to lead development of ... Experience building evaluation pipelines, offline and online metrics, model monitoring, or data ...

As a Staff Software Engineer (AI), you will sit at the intersection of deep technical capability ... Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use ...

As a Staff Software Engineer (AI), you will sit at the intersection of deep technical capability ... Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use ...

As a Staff Software Engineer (AI), you will sit at the intersection of deep technical capability ... Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use ...

Staff Software Engineer - AI II

Manhattan, NY ยท On-site

$137.10 - $254.70/hr

Staff Software Engineer (AI) - Forward Engineering Build the future of AI-powered systems at ... Demonstrated ownership of the AI lifecycle: deployment, monitoring, model management, evaluation.

New

Sr. Software Engineer (AI)

Manhattan, NY ยท On-site

$135K - $178K/yr

As a Sr. Software Engineer (AI), you will sit at the intersection of deep technical capability and ... Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation ...

Software Engineer AI/ML Ops

Manhattan, NY ยท On-site

$145 - $182/hr

Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance ... training and inference workloads.* Proficiency in containerization technologies (e.g., Docker ...

Sr. Software Engineer (AI)

New York, NY ยท On-site

$134K - $176K/yr

As a Sr. Software Engineer (AI), you will sit at the intersection of deep technical capability and ... Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation ...

Senior Software Engineer AI

Manhattan, NY ยท On-site

$145 - $182/hr

## Senior Software Engineer AIApplyremote type: Hybridlocations: Pleasanton: New York: Los Angelestime ... model inference. Infrastructure and Environment Management:* Design and manage training ...

Sr. Software Engineer (AI)

New York, NY ยท On-site

$134K - $176K/yr

As a Sr. Software Engineer (AI), you will sit at the intersection of deep technical capability and ... Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation ...

Showing results 21-40

Software Engineer Ai Model Training information

See Paramus, NJ salary details

$64.3K

$149.3K

$207.9K

How much do software engineer ai model training jobs pay per year?

As of Aug 20, 2026, the average yearly pay for software engineer ai model training in Paramus, NJ is $149,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $175,100.00 per year, depending on experience, location, and employer.

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What cities near Paramus, NJ are hiring for Software Engineer Ai Model Training jobs?

Cities near Paramus, NJ with the most Software Engineer Ai Model Training job openings:

Software Engineer, AI

ImmunityBio

New York, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Company Overview
ImmunityBio, Inc. (NASDAQ: IBRX) is a commercial-stage biotechnology company developing cell and immunotherapy products that are designed to help strengthen each patientโ€™s natural immune system, potentially enabling it to outsmart the disease and eliminate cancerous or infected cells. We envision a day when we no longer fear cancer, but can conquer it, thanks to the biological wonder that is the human immune system. Our scientists are working to develop novel therapies that harness that inherent power by amplifying both branches of the immune system, attacking cancerous or infected cells today while building immunological memory for tomorrow. The goal: to reprogram the patientโ€™s immune system and treat the host rather than just the disease.

Why ImmunityBio?
โ€ข ImmunityBio is developing cutting-edge technology with the goal to transform the lives of patients with cancer and develop next-generation therapies and vaccines that complement, harness and amplify the immune system to defeat cancers and infectious diseases.
โ€ข Opportunity to join a publicly traded biopharmaceutical company with headquarters in Southern California.
โ€ข Work with a collaborative team with the ability to work across different areas of the company.
โ€ข Ability to join a growing company with professional development opportunities.

Position Summary

The Software Engineer โ€“ AI is a hands-on role integrating data engineering, software development, and AI agent architecture, working closely with platform engineering, data science, security, and product teams. The Software Engineer โ€“ AI will contribute to AI agent development and collaborate with cross-functional teams on the implementation of production-grade AI systems. This role supports Engineering leadership by implementing change-controlled solutions, helping maintain project schedules and quality standards, and providing technical support for daily AI-powered operations โ€” including the implementation and improvement of agent frameworks and supporting infrastructure.

Essential Functions

  • Contribute to the design, development, maintenance, and deployment of AI agent systems, including one or more of LangGraph StateGraph patterns, CrewAI multi-agent orchestration, LlamaIndex data/agent workflows, or related frameworks.
  • Design, build, and maintain FastAPI-based agent servers, including async/await endpoints, streaming responses, and health check endpoints, following established architecture and coding standards.
  • Implement comprehensive testing strategies โ€” unit, integration, edge-case, and performance โ€” for agents and services to ensure production reliability.
  • Implement and extend guardrails for AI interactions, including input/output validation, safety checks, prompt hardening, policy enforcement, and robust error handling in alignment with organizational security and compliance standards.
  • Implement secure tool execution patterns adhering to least-privilege access, allowlists, secrets management, audit logging, and validation controls against prompt injection/data exfiltration under guidance from senior engineers.
  • Implement agent observability including per-step traces, tool-call telemetry, cost/latency budgets, and SLO-based alerting using existing monitoring and logging platforms.
  • Help design and maintain agent evaluation sets, adversarial tests, regression tests, and monitoring for safety/quality drift.
  • Design and build RAG/retrieval pipelines using vector databases such as Chroma, Milvus, Weaviate, and Qdrant, working with data and platform teams on schema and performance.
  • Collaborate with SMEs across Platform Engineering, Data Science, Security, Quality, and Product to ensure agent systems meet technical and operational requirements.
  • Contribute to the creation, modification, and maintenance of AI system documentation, including architecture decision records (ADRs), runbooks, API specifications, network topology diagrams, data flow diagrams, and best-practice guides.
  • Provide technical input regarding operability, technical feasibility, engineering design, security posture, maintainability, and documentation requirements.
  • Assist with the planning and implementation of AI agent-based projects and solutions in collaboration with cross-functional teams, helping deliver on cost, timeline, and quality targets.
  • Implement and support containerized deployment, start-up, commissioning, and release qualification activities using Docker multi-stage builds, dependency management, and container health check best practices.
  • Collaborate with and learn from senior engineers; may occasionally assist less experienced engineers through code reviews and pairing on troubleshooting AI agent and service-related issues.
  • Follow and improve Standard Operating Procedures (SOPs), process improvements, and standard engineering templates for agent development.
  • Monitor agent performance and reliability, collect metrics and logs, and use data to propose and implement optimization opportunities.
  • Performs ad-hoc and cross-functional duties and/or projects as assigned to support business needs and provide developmental opportunities.

Education & Experience

  • Bachelorโ€™s degree in Computer science, Software Engineering, or a related field with 3+ years of relevant software development experience is required.
  • 2+ years of hands-on Python development experience, with proficiency in Python 3.12+ and modern language features (type hints, async/await, etc.) is required.
  • 2+ years of hands-on Typescript development experience.
  • Experience with at least one AI agent framework (LangGraph, LangChain, CrewAI, or LlamaIndex) in a production or near-production setting is required.
  • Experience building and running containerized applications with Docker, including multi-stage builds and foundational DevOps practices, is required.
  • Experience with troubleshooting and system optimization in an enterprise or regulated environment is preferred.
  • Experience working within an organization with formal change control, compliance, or audit requirements is preferred.

Knowledge, Skills, & Abilities

  • Excellent interpersonal skills and ability to work effectively in a cross-functional team environment.
  • Strong technical writing, communication, and organizational skills, including the ability to produce concise READMEs, architecture documents, and runbooks.
  • Solid understanding of engineering principles required to support secure, production-grade AI services and infrastructure.
  • Strong working knowledge and hands-on experience with AI agent frameworks, orchestration patterns, and context-management strategies.
  • Ability to take ownership of well-scoped projects and collaborate closely with senior engineers on larger initiatives.
  • Proficiency in data analytics, monitoring, and observability tooling (metrics, logging, tracing, dashboards) for production services.
  • Solid understanding of API design principles, error handling patterns, and security best practices for backend services.
  • Familiarity with AI safety and guardrail patterns, including prompt hardening and content filtering methodologies.

Working Environment / Physical Environment

  • This position will either work onsite in Dunkirk NY
  • Regular work schedule is Monday โ€“ Friday, within standard business hours.  Flexibility is available with manager approval.
  • Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer.
  • Lift and carry materials weighing up to 20 pounds
  • This position requires extensive use of computer keyboards and monitors. 

This position is eligible for a discretionary bonus and equity award. The annual base pay range for this position is below. The specific rate will depend on the successful candidateโ€™s qualifications, prior experience as well as geographic location.

$130,500 (entry-level qualifications) to $145,000 (highly experienced) annually

The application window is anticipated to close on 60 days from when it is posted or sooner if the position is filled or closed.

ImmunityBio employees are as valuable as the people we serve. We have built a resource of robust benefit offerings to best support the total wellbeing of our team members and their families. Our competitive total rewards benefits package, for eligible employees, include: Medical, Dental and Vision Plan Options โ€ข Health and Financial Wellness Programs โ€ข Employer Assistance Program (EAP) โ€ข Company Paid and Voluntary Life/AD&D, Short-Term and Long-Term Disability โ€ข Healthcare and Dependent Care Flexible Spending Accounts โ€ข 401(k) Retirement Plan with Company Match โ€ข 529 Education Savings Program โ€ข Voluntary Legal Services, Identity Theft Protection, Pet Insurance and Employee Discounts, Rewards and Perks โ€ข Paid Time Off (PTO) includes: 11 Holidays โ€ข Exempt Employees are eligible for Unlimited PTO โ€ข Non-Exempt Employees are eligible for 10 Vacation Days, 56 Hours of Health Pay, 2 Personal Days and 1 Cultural Day โ€ข  We are committed to providing you with the tools and resources you need to optimize your Health and Wellness.

At ImmunityBio, we are an equal opportunity employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.