Pay may vary in most states from $1500-$2700 per 8-week session.
Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.
Responsibilities
Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
Organizes, prepares, and regularly revises and updates all course materials.
Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
Models effective oral and written communications that engage the students, provide clarity, and improve student learning.
Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
Lead the firm’s AI, automation, and digital innovation strategy and enablement across the organization.
Compensation
Compensation: Our best estimate of the salary range for this position is $150,000-$225,000.
Responsibilities
Lead the firm’s AI, automation, and digital innovation strategy in alignment with corporate goals, market opportunities, and operational priorities.
Serve as the firmwide champion and trusted advisor for AI adoption, helping leaders understand where AI can create practical business value.
Partner with executive leadership, practice leaders, and operations teams to identify high-value workflow challenges and prioritize AI-enabled solutions.
Evaluate AI and technology opportunities based on business impact, user adoption, technical feasibility, risk, cost, and return on investment.
Establish governance frameworks, responsible AI standards, and decision-making processes for AI adoption and technology enablement.
Requirements
Bachelor’s degree in information technology, computer science, engineering, GIS, data analytics, business, organizational development, communications, or a related field
Lead complex engineering projects to improve ML systems for ad ranking and retrieval at Meta's Ads Infra and Ranking organization.
Responsibilities
Define and deliver ML engineering projects that improve ads ranking or retrieval, from problem framing and model evaluation through production rollout.
Develop models and supporting software, using data and analysis to diagnose quality issues and evaluate alternative approaches.
Partner with infrastructure and ML engineers on the data, feature, and serving dependencies needed to turn model improvements into production impact.
Design offline evaluations and online experiments that assess ad relevance, advertiser outcomes, and system performance.
Lead technical decisions and cross-functional execution for complex projects, making trade-offs explicit and building maintainable solutions.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
The role focuses on the design, creation, and support of AI agents, assisting end users in building and configuring agents using modern AI frameworks and tools.
Responsibilities
Design and implement AI agents
Integrate AI agents with APIs and enterprise systems
Troubleshoot issues across different layers of the agent architecture
Assist end users in building and configuring agents
Collaborate with users to successfully build and deploy AI agents
This job delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC). It involves advising management on project-level issues, guiding junior engineers, operating with little supervision, and applying knowledge of technical best practices.
Locations (3)
San Jose, California, United States
Austin, Texas, United States
Scottsdale, Arizona, United States
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California: ($143,500.00 - $212,850.00 Annually) Additional Location(s) | Pay Range: Austin, Texas: ($130,500.00 - $193,600.00 Annually) Scottsdale, Arizona: ($123,500.00 - $183,700.00 Annually)
Responsibilities
Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
Determines the technical tasks that other engineers will follow
Lead AI engineering squads, own AI strategy, deliver roadmap, ensure quality and safety of AI products, build culture of ownership, and drive adoption of AI tooling.
Locations (2)
Tel Aviv, Tel Aviv, Israel
New York City, New York, United States
Responsibilities
Own roadmap delivery end to end across three squads
Build a culture of production ownership
Set AI direction with Product
Ensure AI features ship with business metrics
Require eval suite and quality threshold
Requirements
MSc in Computer Science, Machine Learning, or a related field
Define a multi-year technical roadmap for ML-powered campaign optimization or advertiser experiences, connecting near-term product work to long-term advertiser value.
Guide model and software architecture across the data, services, and application integrations needed for dependable ML products.
Drive cross-functional engineering efforts with product, data science, and engineering partners to move capabilities from evaluation to production impact.
Use data and experimentation to evaluate model and product decisions and communicate technical trade-offs to engineering and executive stakeholders.
Mentor and influence engineers and technical leaders across teams, improving model evaluation, engineering quality, and reliable product delivery.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Lead the design, development, and deployment of advanced data engineering solutions across multiple business domains, guiding teams and influencing stakeholders to build reusable frameworks and scalable components.
Compensation
$120,000 - $217,500 Annual
Responsibilities
Lead the design, development, and deployment of solutions across use cases such as document processing, intelligent agents, and automation frameworks
Collaborate with cross-functional teams to translate business needs into data-driven workflows using modern orchestration tools
Promote responsible practices including security, compliance, and explainability, while ensuring robust deployment
Establish reusable frameworks, evaluation pipelines, and scalable components to accelerate adoption and maintain consistency
Prioritize initiatives, manage delivery timelines, and align efforts with enterprise goals
Requirements
Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related field
Hybrid Visiting Professor of Project ManagementNewDeVry University · Decatur, US
Software Engineer, Machine Learning - Ads Infra and RankingNewMeta · Menlo Park, US
Sr. Software Engineer- Cloud Infrastructure and DevOpsPayPal · San Jose, US+2 more
Director of AI EngineeringDoorLoop · Tel Aviv, Israel+1 more
Data Engineering and Development VPState Street · Quincy, US