Engineering Software

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56 jobs found

Today

Staff Machine Learning Engineer

Integral Ad Science, Inc. New York, NY

New York, NY

Today

$135k - $232k/yr Full time Application Security Artificial Intelligence Automation

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Job Description

Integral Ad Science, Inc. is hiring a Staff Machine Learning Engineer for its Data Science Team in New York, NY (onsite). In this role, you will provide technical leadership and end-to-end ownership of large-scale machine learning systems and the infrastructure supporting core AI/ML services.

This position focuses on designing and deploying distributed deep learning platforms with low latency, helping shape ML engineering practices, and mentoring engineering and data science talent. You will partner across Product Management, Core Engineering, and executive stakeholders to translate business direction into concrete technical systems and reliable production delivery.

What You’ll Do

Set the architectural vision and lead system design for core AI/ML services.
Serve as the technical lead for complex, multi-quarter initiatives from inception through global deployment.
Design and build large-scale deep learning infrastructure for distributed model training, emphasizing low latency and high availability at enterprise scale.
Collaborate with Product Management, Core Engineering, and executive stakeholders to align ML capabilities with business strategy.
Convert abstract product requirements into implementable technical designs.
Mentor and guide senior and mid-level data scientists and engineers.
Define standard methodologies, code quality expectations, and lead architecture design reviews.
Work with large-scale AI training infrastructure components including accelerators, network fabrics, CUDA, NCCL, and RDMA.
Engage with big data ecosystems and platforms such as Databricks, Spark, Kubernetes, Kafka, and Prometheus.
Design, develop, and support robust CI/CD pipelines for AI/ML services to move models from research to production endpoints.

What You Bring

PhD/Master’s degree in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
7+ years of machine learning experience in industry, with demonstrated impact at a Lead, Principal, or Staff level.
Deep expertise designing complex ML systems, including ranking infrastructure and data pipelines that support massive throughput.
Production-hardened experience with frameworks such as PyTorch, JAX, or TensorFlow.
Strong production-grade programming skills in Python, Go, Java, or C++, with a solid understanding of software design principles and algorithms.
Ability to thrive in ambiguity by taking large, unstructured problems and driving them to successful technical resolution.
A strong history of collaborating with, elevating, and mentoring engineering talent.

Tools and Technologies

PyTorch, JAX, TensorFlow
Python, Go, Java, C++
CUDA, NCCL, RDMA
Databricks, Spark, Kubernetes, Kafka, Prometheus

Compensation and Benefits

The salary range for the primary location is USD 135,100 - 231,600 per year.

Paid time off
Health insurance (medical, dental, vision)
PPO, HSA and FSA options
401k with employer matching contributions
Competitive compensation
Eligible for an annual bonus and/or other incentive plans

Location

Primary Location: US - New York, NY (Onsite)
Additional Locations: USA - Remote

IAS Pay Transparency

Primary Location Base Pay Range: $135,100.00 - $231,600.00 Annual
Additional Locations Pay Range: 119,000.00 - 204,000.00 USD Annual

Recruiter Policy

IAS does not accept unsolicited resumes or candidate profiles from agency/third-party recruiters.
If you want to become an IAS recruiting partner, email recruitingagencies@integralads.com with an introduction to your company.

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Today

Asst Dir-Applied AI Engineer

Moody's United States

United States

Today

$117k - $169k/yr Full time Manager Application Security Artificial Intelligence

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Job Description

Moody’s is hiring an Applied AI Engineering leader to build and deliver production AI software across the organization, from discovery through launch.

Responsibilities

Build and lead development of AI-powered software solutions that address real business problems across Moody’s, end-to-end from discovery through production
Find high-friction opportunities across the business and design software that resolves them effectively
Develop full-stack applications powered by modern AI tooling while maintaining end-to-end ownership of delivery
Lead technical design and direction for assigned projects, including clear articulation of tradeoffs to technical and non-technical stakeholders
Spend meaningful time with end users to understand workflows and translate insights into product decisions
Ship systems to production and remain accountable for quality and performance after launch
Review, test, and approve code to ensure quality, consistency, and alignment with engineering standards
Support and mentor engineers on the team, contributing to technical growth and development
Drive continuous improvement in team practices, tooling, and standards

Requirements

Strong generalist engineering experience with the ability to design, build, and deliver reliable full-stack software
Proficiency in Python (or similar) for backend services and AI workloads, plus TypeScript or React (or comparable frameworks) for frontend development
Hands-on experience with GoLang, AWS, and Kubernetes / Hashi Stack (must haves)
Hands-on experience deploying large language models in production, including retrieval-augmented generation, evaluations, and deployment
Working knowledge of cloud infrastructure and containerization, including operational responsibilities associated with owning production services
Experience working with complex, real-world data sources including documents, contracts, and internal enterprise systems
Product instinct to translate user needs into software decisions and communicate technical tradeoffs to non-engineers
Ability to lead projects independently and collaborate effectively with others
Deep expertise in artificial intelligence, with a track record implementing advanced AI solutions to support strategic transformation and operational efficiency
Strong experience using AI tools to lead innovation initiatives
Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption

Technologies

Python
TypeScript
React
GoLang
AWS
Kubernetes
Hashi Stack
Large language models
Retrieval-augmented generation
Cloud infrastructure
Containerization

Benefits

Medical insurance
Dental insurance
Vision insurance
Parental leave
Paid time off
401(k) plan with employee and company contribution opportunities
Life insurance
Disability insurance
Accident insurance
Discounted employee stock purchase plan
Tuition reimbursement
Incentive compensation

Location

United States (onsite)

Compensation

USD 116,500 - 169,000 per year

Education

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

About the Team

The Applied AI Engineering team drives innovation and builds scalable AI solutions across Moody’s
The team identifies high-impact problems across the business and builds software to solve them, including internal platforms for legal and operations workflows and external products for customers
Work focuses on the intersection of enterprise software and applied AI, building enterprise-grade platforms and enabling responsible AI adoption
Emphasis on decision-making by putting the right information in front of the right people at the right time, grounded in real workflows

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Today

Application Developer, Automation & AI Engineer

Cary Street Partners Financial Richmond, VA

Richmond, VA

Today

$85k - $110k/yr Full time Backend Developer Adobe Creative Suite Adobe Express

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Job Description

Cary Street Partners Financial is looking for an Application Developer, Automation & AI Engineer to help the Corporate Technology team build and improve internal web applications and AI-assisted automations. This onsite role in Richmond, VA blends hands-on development (including Node.js and Python, with Go) with practical support for AI-built applications across the firm.

In this position, you will design and maintain internal tools, troubleshoot issues for colleagues, and help move prototypes from external platforms onto the firm’s internal hosting environment. You will also deploy and support applications on a containerized platform using Kubernetes, Git-based deployments, and established templates in partnership with the infrastructure team.

What you’ll do

Design, build, and maintain internal web applications, APIs, and workflow automations.
Act as a first point of contact for employees with coding questions, including troubleshooting errors, reviewing code (including AI-generated code), and guiding team members through version control and development workflows.
Help colleagues transition prototypes built on outside platforms into the firm’s internal hosting environment.
Deploy and support applications on the firm’s containerized platform (Kubernetes with Git-based deployments) using established templates, with support from the infrastructure team.
Build integrations with internal and third-party systems using REST APIs.
Maintain existing internal applications and support modernization over time.
Use AI-assisted development tools to accelerate delivery while ensuring code is secure, tested, and maintainable.
Write clear documentation and help establish development standards, templates, and best practices as the team grows.

What you bring

2+ years of development experience in Python and/or JavaScript/TypeScript (Node.js), from professional work, internships, or substantial academic/personal projects.
Working knowledge of SQL and relational databases such as MariaDB/MySQL or PostgreSQL.
Proficiency with Git and collaborative workflows including branching, pull requests, and code review.
Foundational IT knowledge: networking, DNS, HTTP/HTTPS, TLS certificates, and the Linux command line.
Hands-on experience with AI coding assistants (examples include Cursor, GitHub Copilot, and Claude) and the judgment to review and correct their output.
Strong troubleshooting skills and patience for explaining technical issues to non-technical colleagues.

Technology focus

Work may involve Node.js, Python, Go, SQL databases, REST APIs, and modern tooling across containers and CI/CD. The role includes experience with Kubernetes, Docker and/or Podman, Helm, and GitOps tools (plus GitHub Actions). Web frameworks and libraries may include FastAPI, Express, Next.js, and React.

Compensation: $85,000 - $110,000 per year.

Location: Richmond, VA (onsite).

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1d ago

Machine Learning Engineer 4 (Manager, IC)

Information Technology Senior Management Forum New York, NY

New York, NY

1d ago

$215k - $246k/yr Full time Backend Developer Manager Artificial Intelligence

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Job Description

Design, build, deploy, and run machine learning solutions at scale in a production-focused role on an Agile team.

Responsibilities

Design, build, and/or deliver ML models and components to solve real-world business problems in partnership with Product and Data Science
Shape ML infrastructure decisions using expertise in modeling techniques and common issues, including model and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
Solve complex technical problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate within a cross-functional Agile team to create and enhance software enabling big data and ML applications
Retrain, maintain, and monitor models in production
Build and/or leverage cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale
Construct optimized data pipelines that feed ML models
Apply continuous integration and continuous deployment practices, including test automation and monitoring, to support successful releases of ML models and application code
Ensure managed, secure code to reduce vulnerabilities, and support governance with an emphasis on risk and Responsible and Explainable AI
Use programming languages including Python, Scala, or Java

Requirements

Bachelor's Degree or higher in Computer Science, Machine Learning, or a related quantitative field: Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering
4+ years of experience programming with Python, Java, Golang, or C++
4+ years of Machine Learning experience with industry frameworks PyTorch or Tensorflow and libraries Pandas, NumPy, Scikit-learn
4+ years operating large scale distributed systems (e.g., Spark, Ray) to prepare AI or Machine Learning data
2+ years deploying and operating production ML solutions and production services in the cloud (AWS, GCP, Azure), using Kubernetes to manage large scale containerized ML systems

Preferred Qualifications

Master's or Doctoral degree in Computer Science, Electrical Engineering, Mathematics, or related field
3+ years optimizing ML algorithms, configurations, and infrastructure
3+ years applying software development best practices (source control, testing, code reviews, CI/CD, etc.)
3+ years building resilient software with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring and alarms, and incident response plan preparation
3+ years experience with ML techniques (supervised, semi-supervised, unsupervised, reinforcement learning) and model types (regression, classification, clustering), including architectures (RNNs, CNNs, LSTMs, Transformers), plus training and evaluation (loss function, hyperparameters, regularization, underfitting/overfitting)
3+ years designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models
1+ years experience as a technical lead developing ML solutions using industry best practices, patterns, and automation
Authored or co-authored a paper on an ML technique, model, or proof of concept

Technologies

Python, Scala, Java, Golang, C++, PyTorch, Tensorflow
Pandas, NumPy, Scikit-learn
Spark, Ray
AWS, GCP, Azure
Kubernetes

Benefits

Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI); incentives may be discretionary or non-discretionary depending on the plan
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being

Compensation, Location, and Schedule

Location: New York, NY (onsite)
Salary: USD 215,200 - 245,600 per year (Machine Learning Engineer 4)
Full-time
This role is expected to accept applications for a minimum of 5 business days
No agencies please

Work Authorization

Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position

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1d ago

Machine Learning Engineer 1

Comcast Corporation New York, NY

New York, NY

1d ago

$107k - $160k/yr Full time Backend Developer Artificial Intelligence Automation

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Job Description

FreeWheel, a Comcast company, is seeking a Machine Learning Engineer 1 in New York, NY to design, develop, and maintain backend and machine learning applications for FreeWheel Buyer Cloud. This onsite role focuses on building production-ready systems across cloud infrastructure and data services using Python and modern DevOps tooling.

Role overview

Design, develop, and maintain Optimization and Machine Learning applications for FreeWheel Buyer Cloud.
Build back-end software in Python, manage code with Git, and perform container orchestration with Kubernetes across AWS and cloud-agnostic environments.
Work with relational databases, write SQL queries, and use Snowflake, Databricks, and big data tools to set up, optimize, and troubleshoot infrastructure-level data services.
Use IaC principles and Terraform to design and deploy infrastructure.
Build and manage CI/CD pipelines using Jenkins, GitHub, Kargo, and ArgoCD, and monitor service health with Prometheus and Grafana.
Support applications under development, customize existing applications, help with software updates and release roll-outs, and analyze, test, and integrate new applications.

Collaboration and delivery

Collaborate with project stakeholders to identify product and technical requirements and conduct integration analysis.
Work alongside the Quality Assurance team to ensure applications meet technical specifications.
Guide and mentor junior-level engineers.
Document development activity including software designs, evaluation plans, test results, technical manuals, and formal reports.
Perform other duties and responsibilities as assigned.

Working expectations

Exercise consistent independent judgment and discretion in matters of significance.
Maintain regular, consistent, and punctual attendance.
Be able to work nights and weekends, with variable schedules as necessary.

Required qualifications

Python programming proficiency for software development, data processing, and machine learning applications.
Algorithms and data structures with strong computational problem-solving skills.
Collaboration and communication to work effectively across cross-functional teams, including software engineers, data scientists, and product managers.

Preferred skills

SQL and relational database querying.
Big data technologies and distributed computing.
Kubernetes and container orchestration.
Machine learning algorithms and model development.
Apache Spark for large-scale data processing.
Data science, statistics, and analytical techniques.

Technology stack

Python, Git, Kubernetes, AWS, SQL
Snowflake, Databricks, Apache Spark
Terraform, IaC, Jenkins, GitHub, Kargo, ArgoCD
Prometheus, Grafana

Compensation and education

Salary range: USD 106,904 to 160,356 per year
Education: Bachelor’s Degree
Location: New York, NY (onsite)

Employee principles

Understand and follow the company’s Operating Principles.
Own the customer experience and act in ways that put customers first.
Know your stuff by learning, using, and advocating for technology, products, and services.
Win as a team by collaborating and staying open to new ideas.
Be active in the Net Promoter System through huddles, call backs, and helping elevate opportunities to improve for customers.
Drive results and growth, and support a culture of inclusion.
Do what’s right for customers, investors, and communities.

Disclaimer: This information is intended to describe the general nature and level of work for this role. It is not a comprehensive list of all duties, responsibilities, and qualifications.

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1d ago

Python AI Engineer - Assistant Vice President

Citi Irving, TX

Irving, TX

1d ago

$107k - $161k/yr Full time Manager Python Artificial Intelligence

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Job Description

Citi is seeking a Python/Generative AI developer to design, develop, and deploy advanced Generative AI models and applications, including sophisticated chat interfaces.

Responsibilities

Design, develop, and implement Generative AI models (LLMs, GANs, VAEs, Diffusion Models) using Python and deep learning frameworks such as TensorFlow and PyTorch
Integrate Generative AI capabilities into existing systems and build new AI-powered applications
Build and maintain dynamic, responsive chat interfaces using React, including:
- HTTP streaming for real-time updates
- Asynchronous processing to support user experience
- Secure file upload capabilities
- Advanced chat formatting
Conduct research and stay current with advancements in Generative AI, natural language processing, and machine learning
Optimize and fine-tune models for performance, scalability, and efficiency
Develop robust data pipelines for training, evaluation, and deployment of AI models
Collaborate with data scientists, machine learning engineers, and product managers to define requirements and deliver solutions
Ensure responsible and ethical AI model deployment by following best practices and applicable regulatory guidelines
Write clean, maintainable, well-documented code aligned with software development best practices
Participate in code reviews, contribute to architectural discussions, and provide technical guidance
Troubleshoot and debug AI models and applications, including identifying and resolving performance bottlenecks

Requirements

5-8 years of professional software development experience, with strong focus on Python
Proven experience with Generative AI models, including hands-on work with large language models (LLMs) or other generative architectures
Experience with Google ADK or similar Google AI/ML platforms and SDKs
Understanding of deep learning frameworks including TensorFlow, PyTorch, or JAX
Strong front-end development skills, particularly React, for building interactive user interfaces
Demonstrable chat implementation experience, including:
- HTTP streaming
- Asynchronous operations
- File upload management
- Chat formatting techniques
Solid understanding of machine learning principles, algorithms, and data structures
Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices for deploying and managing AI models
Familiarity with containerization technologies such as Docker and Kubernetes
Strong problem-solving skills; ability to work independently and as part of a team
Excellent communication and interpersonal skills

Technologies

Python
TensorFlow, PyTorch, JAX
React
HTTP streaming
Google ADK
AWS, Azure, GCP
MLOps
Docker, Kubernetes
LLMs, GANs, VAEs, Diffusion Models

Benefits

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Discretionary and formulaic incentive and retention awards (for eligible employees)

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field

Location and Employment Details

Location: Irving, TX (onsite)
Job family group: Technology
Job family: Applications Development
Time type: Full time
Primary location: Irving Texas United States
Primary full-time salary range: $107,120.00 - $160,680.00
Anticipated posting close date: Oct 13, 2026

Automated processing notice: Citi uses automated processing, including artificial intelligence, for legitimate business interests to identify and align candidate skills and abilities to a specific job opening. Hiring processes and decisions are conducted, checked, and decided by individuals, and automated processing does not rely on automatic or autonomous decision-making.

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1d ago

AI Engineer I

FedEx Dataworks Orlando, FL

Orlando, FL

1d ago

$7,488 - $10,444/mo Full time Application Security Artificial Intelligence Automation

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Job Description

FedEx Dataworks is hiring an AI Engineer I for a hybrid role in the Orlando, FL area, with work requirements at the FedEx campus several times per week. In this position, you will design and deliver production-quality AI and ML solutions that support intelligent automation, predictive insights, and advanced analytics across the enterprise.

What you’ll do

You will own the end-to-end workflow for machine learning systems, from scalable training pipelines through deployment, monitoring, and continuous improvement. The work focuses on operational readiness for AI services, including observability, defined service levels, and clear incident and rollback strategies. You will also collaborate with Data Scientists and MLOps Engineers to move prototypes into robust production implementations and integrate AI capabilities into enterprise workflows and digital platforms.

Design, develop, and maintain scalable ML pipelines for training, validation, inference, and deployment.
Collaborate with MLOps Engineers to package and deploy models into enterprise systems using established MLOps practices.
Monitor deployed models for performance, data drift, and reliability; troubleshoot and resolve production issues.
Define and implement Service Level Objectives (SLOs) for key AI service metrics such as p50/p95 latency and availability, and establish monitoring and alerting for drift, latency, and error rates.
Write clean, efficient, well-documented code for AI and ML models supporting business use cases.
Implement data engineering and preprocessing workflows required for model inputs.
Continuously optimize AI application performance and scalability.
Partner with Data Scientists to transition experimental models and research prototypes into production-ready systems.
Support the integration of AI models into enterprise workflows, applications, and digital platforms.
Contribute to documentation and model output explainability for business stakeholders.
Ensure deployed AI systems align with enterprise governance, fairness, and security standards.
Evaluate emerging AI technologies, including LLMs and generative AI, to assess applicability to business problems.
Implement robust observability and define incident response and rollback strategies for AI services.

What you bring

5+ years of experience and strong coding skills in Python, Java, or C++, including API development and software design.
Deep understanding of core ML concepts: classification, regression, clustering, and deep learning architectures.
Hands-on experience with deep learning frameworks such as PyTorch and TensorFlow.
Experience with LLMs, prompt engineering, fine-tuning, and frameworks like LangChain and LangGraph for RAG (Retrieval-Augmented Generation) systems.
Data wrangling experience, including SQL, data warehousing, and ETL to prepare model inputs.
Proven ability to deliver the end-to-end model lifecycle from prototype to production.
Expertise in data preprocessing, feature engineering, and model evaluation for robust model performance.
Knowledge of both SQL and NoSQL databases for querying and managing data.
Software engineering best practices, including Git, automated testing, and CI/CD.
Hands-on containerization with Docker and scalable deployment with Kubernetes.
MLOps observability experience, including model monitoring, drift tracking, and establishing model/version lineage, telemetry, and traceability.
Experience with advanced testing and deployment approaches such as canary/shadow deployments and unit, integration, adversarial, and regression testing.
Ability to integrate AI services into enterprise applications via RESTful APIs.
Proficiency with at least one cloud platform: GCP, AWS, or Azure, including related AI/ML services (e.g., Vertex AI, SageMaker, Azure ML).
Experience with big data technologies such as Apache Spark.
Strong problem-solving and analytical skills in an Agile development environment.
Excellent communication skills to explain complex technical concepts to technical and non-technical stakeholders.
Experience with frontend JavaScript frameworks such as React, Vue.js, or Angular for user-facing applications that consume AI models.
Skills that include IT security and infrastructure, plus experience with security and risk frameworks, standards, and best practices.

Location and compensation

Location: Orlando, FL (hybrid)
Work schedule: Candidates must live within 50 miles of the campus location and will work at the FedEx campus location several times per week.
Pay range: USD 7,488 - 10,444 per month (Orlando, FL stated range)