WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to *******************
Role Description
As a Staff Backend Engineer, you will be a highly technical individual contributor responsible for designing, building, and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. You'll work closely with product managers, data scientists, and other engineering teams to translate business needs into technical solutions and ensure the platform is fast, fault-tolerant, and observable.
This role is based in the United States and can be performed remotely, with a preference for candidates who can join us in a hybrid capacity in San Francisco, New York, or Atlanta.
Key Responsibilities
System Architecture & Development: Lead the design and implementation of scalable, high-performance backend services, including microservices and APIs, that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.
Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g., using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.
Performance & Reliability: Ensure the backend systems are highly performant, resilient, and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring, logging, and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.
Cross-Functional Collaboration: Work closely with cross-functional teams - including Product, Data Science, DevOps, and Frontend - to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.
Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews, design discussions, and best practice adoption, fostering a culture of technical excellence and continuous improvement.
Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services, streaming frameworks, database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap, making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.
Required Qualifications
8+ years of software engineering experience building backend systems, with 3+ years in a senior or lead role (e.g. Staff Engineer, Principal Engineer) in the AdTech or a similar high-volume, low-latency domain.
Proven track record in designing and building high-throughput, low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).
Expertise in microservices architecture and distributed system design, including experience decomposing monoliths or building greenfield microservices with well-defined APIs.
Proficiency in Java and Go for backend development, and experience with Python for scripting, automation, or data processing tasks.
Hands-on experience with streaming data technologies and event-driven frameworks, such as Apache Kafka (or AWS Kinesis), and possibly stream processing frameworks (Spark Streaming, Flink, or similar, experience with Apache Kafka is highly desired).
Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2, S3, Lambda, SNS/SQS, etc., and ability to design cost-effective, performant cloud architectures.
Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB, Cassandra, Redis) for caching and fast lookups.
Familiarity with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.
Deep understanding of system observability and monitoring - experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus, Grafana, ELK stack or similar).
Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.
Preferred Qualifications
Domain Expertise: Deep knowledge of the programmatic advertising ecosystem, including how Demand-Side Platforms (DSPs), Supply-Side Platforms (SSPs), ad exchanges, and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.
High-Scale Data Processing: Experience designing systems that operate at extreme scale, such as real-time auction systems or high-frequency trading platforms, and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).
Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark, Hadoop, or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid, ClickHouse) is a plus.
Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning, concurrency, GC optimization, network I/O) in large-scale Java or Go applications.
Leadership in the Tech Community: A track record of contributing to open-source projects, technical publications, or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.
Education: Bachelor's degree in Computer Science, Engineering, or related field (Master's or Ph.D. a plus), with strong foundations in algorithms and data structures.
BENEFITS & PERKS
Unlimited PTO
Excellent medical, dental, and vision coverage
Employee Equity
Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $300,000 - $375,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: ***************************************************
ZETA IN THE NEWS!
************************************************
#LI-DD1
$87k-128k yearly est. Auto-Apply 24d ago
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Senior Line Engineer
United Airlines 4.6
Los Angeles, CA jobs
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together.
Description
At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they're well taken care of and ready to get our customers to their desired destinations. If you're ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape.
Job overview and responsibilities
Senior Line Engineers are part of a service engineering team that provide 24/7 engineering technical support for United Airlines Worldwide fleet of operational aircraft to ensure the timely return to service. Provide engineering support for a wide range of aircraft systems, maintenance programs, engines as well as operational engineering functions. Studies, analyzes, and seeks solutions to problems related to the design, operation, maintenance, performance, modification, or repair of aircraft, and their components. Uses a structured, logical, and analytical approach in problem solving. Defines maintenance program, configuration, and serviceability criteria ensuring safe and legal operations. Analyzes and implements regulatory requirements. Evaluates the effects of modifications or new equipment on reliability and performance. Evaluates the benefits of the cost impact of a fleet decision to ensure an optimum balance of cost, asset utilization, quality, and reliability. Authors, designs, tests, and manages projects. Communicates with customers on technical issues, work scope recommendations, and failure investigations. Interfaces with internal and external organizations regarding specific aircraft and component issues.
This position leads and develops potentially complex solutions and implementation plans, project justification, cost/benefit analysis, management of project implementation, technical support, and obtaining FAA approvals as required.
Coordinate work with other operational groups to ensure airworthiness, safety, regulatory compliance, operational reliability, and operational efficiency.
Organize and manage the priorities for assigned responsibilities and accomplish the work processes to meet all the deliverables for operational needs, projects, and program changes/technical specification revisions.
Shifts are dependent on work location and assignment and will be designated during the interview process as required. It is important to note that shifts may change based on the needs of the operation.
Work Schedule: 7.00pm PST- 6.30am PST
In addition to base pay, this role includes a $10,000 role-specific premium, separate and additional from the listed base pay range.
Qualifications
What's needed to succeed (Minimum Qualifications):
Bachelor's degree or related experience in Engineering (Mechanical, Electrical, Aerospace), related technical field or equivalent relative work experience
Senior Line Engineer I: 5-8 years
Senior Line Engineer II: 8 years +
Ability to interpret complex and technical Engineering and OEM documents.
Highly detailed level project development and management for regulatory compliance modifications, and overall ownership of specific systems
Must have the ability to communicate detailed, technical information under time-bound and stressful situations.
Successful candidate will have working knowledge of airline or OEM operations.
Knowledge of Code of Regulations (CFRs), airworthiness design and substantiation criteria, aircraft and equipment design and operational characteristics
Must be available to work any shift including nights and weekends as well as holidays.
Must be legally authorized to work in the United States for any employer without sponsorship.
Successful completion of interview required to meet job qualification.
Reliable, punctual attendance is an essential function of the position.
What will help you propel from the pack (Preferred Qualifications):
OEM Structural Repairs for Engineers Training (Boeing/Airbus) with portfolio of designing major repairs for aircraft structures; metallic or composite
Work within specific ATA Airline Chapters
Airline or Industry experience with general ATA Chapters which could encompass, aircraft systems, structures, power plant and avionics disciplines
Excellent communication and technical writing ability
Knowledge of FARS (specifically parts 21, 25, 26, 43, 121, & 145)
CATIA/AUTOCAD experience
The base pay range for this role is $97,945.00 to $133,540.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.
$97.9k-133.5k yearly 4d ago
AI Research Engineer Staff (hybrid, Grand Prairie, Secret)
Lockheed Martin 4.8
Grand Prairie, TX jobs
Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and experienced individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a broad range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers. With a strong focus on software engineering and computer science, this role is perfect for someone who is passionate about Artificial Intelligence and wants to make a real difference in the industry.
What You Will Be Doing:
• Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers
• Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test
• Participating in a range of activities, from proof of concepts and development of prototypes to building demonstrators and transitioning to production
• Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
• Developing code to solve complex problems and field innovative solutions
• Assuming technical lead responsibilities and mentor junior engineers
What's In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin's comprehensive benefits package here.
Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you!
Who You Are:
You are a highly motivated and experienced individual with a strong background in software engineering and computer science. You have:
• A strong foundation in computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
• Experience with software development and deployment
• Excellent self-motivation, strong work ethic, time management, and interpersonal skills
• The ability to work effectively in a team environment and assume technical lead responsibilities
• A passion for Artificial Intelligence and a desire to contribute to the development of innovative solutions that make a real impact in the industry
#LMLAIC
Basic Qualifications:
• Bachelor's Degree in Engineering, Computer Science, or other related discipline
• Experience with an interpreted language; python
• Experience with a deep learning library; PyTorch or Torch or Keras or Tensorflow or Scikit-Learn (sklearn) or open CV
• Experience applying machine learning techniques on projects; Supervised Learning or Unsupervised Learning or Semi-Supervised Learning or Reinforcement Learning
• Secret Clearance
Desired Skills:
• Master's Degree in Engineering, Computer Science, or other related discipline.
• Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD)
• Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS
• Experience with at least one of the following communication protocols; REST or gRPC
• Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives
• Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows
• Experience developing microservices and microservice architectures
• Experience building and deploying software for defense mission systems
• Experience with real-time embedded software engineering
• Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel one API, SYCL)
• Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime)
• Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices)
• Experience with high-performance computing
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Experience leading other engineers or small teams
• Familiarity with transitioning prototype software to production
• Top Secret // SCI Clearance
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: ENTERPRISE BUSINESS SERVICES
Relocation Available: Possible
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
$73k-94k yearly est. 5d ago
AI Engineer Sr - Computer Vision (hybrid, Fort Worth, Secret)
Lockheed Martin 4.8
Fort Worth, TX jobs
Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly skilled and motivated individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a wide range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers.
What you'll be doing:
• Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers
• Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test
• Participating in activities such as proof of concepts, development of prototypes, building demonstrators, and transition to production
• Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
• Developing code to solve complex problems and field innovative solutions
What's In It For You:
We offer flexible work schedules and comprehensive benefits, investing in your future and security. Learn more about Lockheed Martin's comprehensive benefits package here.
At Lockheed Martin, we empower employees to think big, lead with a growth mindset, and make the impossible a reality. We provide the resources and flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you.
Who are you:
• You are a highly motivated and experienced individual with a strong background in software engineering and computer science
• You have a strong work ethic, self-motivation, time management, and interpersonal skills
• You are familiar with current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
• You have experience developing code to solve complex problems and field innovative solutions
• You are a team player with excellent communication skills and the ability to work effectively in a collaborative environment
This role requests an active Secret Clearance to start.
#LMLAIC
Basic Qualifications:
• Experience with computer vision machine learning models and techniques
• Experience with a deep learning library, such as PyTorch, Torch, Keras, Tensorflow, Scikit-learn (sklearn), or opencv
• Experience with python
Desired Skills:
• Master's Degree in Engineering, Computer Science, or other related discipline.
• Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD)
• Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS
• Experience with at least one of the following communication protocols; REST or gRPC
• Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives
• Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows
• Experience developing microservices and microservice architectures
• Experience building and deploying software for defense mission systems
• Experience with real-time embedded software engineering
• Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel one API, SYCL)
• Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime)
• Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices)
• Experience with high-performance computing
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Experience leading other engineers or small teams
• Familiarity with transitioning prototype software to production
• Top Secret // SCI Clearance
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Top Secret
Other Important Information You Should Know
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: ENTERPRISE BUSINESS SERVICES
Relocation Available: Possible
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
$87k-112k yearly est. 5d ago
Lead Java Engineer - Onsite
NTT Data 4.7
San Leandro, CA jobs
Company Overview: Req ID: 340267 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Lead Java Engineer to join our team in San Leandro, California (US-CA), United States (US)
ONSITE NO STEM OPT
Job Description: We are currently seeking a Java Lead Engineer to join our team in San Leandro, California (US-CA), United States (US).
This is a hands-on role with primary focus on analysis, design, and development of complex business functionality. Weare looking for Senior Java/J2ee developers with strong passion for developing quality code and deep understanding ofcore concepts of Java/J2ee technologies. The ideal candidate would have deep experience with Java/J2ee ecosystem, well-versed in system design principles and proficient in designing and developing highly available, mission-critical applications.
Responsibilities: * Lead a team of engineers to build , enhance and support Fraud and Authentication capabilities. * Design, develop , unit test and document application functionality using Agile development practices. * Participate in the entire Agile SDLC and interface with product owners, business analysts and deployment teams. Must have: * Minimum 10 years' relevant experience * Proficient in System design principles * Hands on experience in - Java Microservices, Spring or Spring boot - MongoDB - JUnit * Demonstrated experience with unit testing and mocking strategies. * Extensive working experience in SOA architecture (XML and JSON technologies). * Candidate must show sense of urgency and take end to end ownership of tasks * Candidate must be a self-starter , work independently with direction from a Principal Engineer/Engg Manager * Excellent verbal and written communication skills Nice to have * Prior experience with banking or financial domain. * PCF * Kafka
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make ********************** accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at **********************/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role is $71/hour. Actual compensation will depend on several factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
#indist #li-northamerica
$71 hourly 5d ago
Senior Full Stack Developer - MES / TrakSYS
NTT Data 4.7
Dallas, TX jobs
At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.
NTT DATA's Client is seeking a Senior Full Stack Developer - MES / TrakSYS (Angular 18+)
Project Overview NTT DATA's Client is implementing the OSCAR Manufacturing Execution System (MES) to enable Electronic Batch Records (EBR) along with equipment integration and OCPLM integration for CSD Frederick Manufacturing. The EBR initiative is critical to: Mitigate batch record-related errors Automate batch record capture with a clear audit trail Improve data accessibility Enhance manufacturing efficiency by reducing manufacturing lead times This MES application is deployed across multiple manufacturing sites and must be developed with scalability, performance, and reusability in mind.
Role Summary We are seeking a Senior Full Stack Developer with 10+ years of overall software development experience and deep expertise in Angular 18+ to support MES development under an Agile/Scrum methodology.
While the role requires full stack capabilities, this project places a strong emphasis on advanced Angular development. The ideal candidate will bring at least 5+ years of hands-on experience in each core skillset, ensuring both front-end leadership and strong backend delivery. This role supports a multi-site MES platform with existing customizations, and prior experience with MES or TrakSYS environments will significantly shorten the development timeline.
Key Responsibilities
Lead and deliver Angular 18+ front-end development, including architecture, reusable components, state management, and performance optimization
Design and implement full stack MES solutions using C#, SQL, and modern front-end technologies
Ensure scalable, maintainable, and reusable solutions across multiple manufacturing sites
Collaborate within an Agile/Scrum team to deliver sprint commitments and technical leadership
Integrate MES applications with manufacturing equipment and OCPLM systems
Work within existing and customized TrakSYS/MES implementations
Ensure compliance with manufacturing, quality, audit, and validation standards
Support code reviews, testing, debugging, and deployment activities
Required Skills & Experience
10+ years of overall software development experience
5+ years of hands-on experience with Angular, with strong focus on Angular 18+
5+ years of experience in full stack development using C# and Object-Oriented Programming (OOP) principles
5+ years of experience writing optimized SQL queries for MS SQL Server, MySQL, or Oracle
5+ years of experience with front-end frameworks, with Angular as the primary framework (React exposure a plus)
5+ years of experience using UI/CSS frameworks such as Angular Material and Bootstrap
5+ years of experience working in Agile/Scrum environments
Preferred Qualifications
Experience with TrakSYS versions 10-13
Experience delivering or supporting Manufacturing Execution Systems (MES)
Strong understanding of Electronic Batch Records (EBR) in regulated manufacturing environments
Experience integrating MES with manufacturing equipment and PLM systems
Experience working with or alongside Parsec / TrackSYS
Experience in GxP-regulated environments (Pharma, Life Sciences, Medical Devices)
Additional Notes This role prioritizes deep Angular 18+ expertise, while maintaining strong full stack development responsibilities Candidates should be comfortable working on enterprise-scale, multi-site systems About NTT DATA Services:
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $36.61 TO $80.09 ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
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$36.6-80.1 hourly 1d ago
Senior Field Diagnostics Software Engineer
Apple Inc. 4.8
San Francisco, CA jobs
A leading technology company based in San Francisco seeks a Sr. Software Engineer to develop and enhance diagnostic tools for Apple devices. The ideal candidate will have 12+ years of software experience, strong skills in object-oriented design, and the ability to collaborate effectively across teams. This role offers a competitive salary range of $212,000 to $318,400 along with extensive benefits.
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$212k-318.4k yearly 1d ago
Senior tvOS Engineer - iOS/Apple TV & Mentorship
Ellation, Inc. 3.8
San Francisco, CA jobs
A leading anime streaming service is seeking a Software Engineer III for their Living Room Experience team in San Francisco. The ideal candidate has over 5 years of software development experience, particularly in Swift and applications for tv OS. Responsibilities include implementing new features for the iOS and Apple TV app and mentoring junior engineers. This position offers a comprehensive compensation package and benefits.
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$136k-185k yearly est. 4d ago
Senior Field Diagnostics Engineer (iOS/macOS)
Apple Inc. 4.8
San Francisco, CA jobs
A leading technology company in San Francisco is seeking a Senior Software Engineer to design and develop advanced diagnostic tools for Apple devices. The ideal candidate will have extensive experience in software development, particularly in Objective-C and Swift, and will play a key role in enhancing repair capabilities. Offers competitive salary and comprehensive benefits including stock options and educational reimbursement.
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A leading cloud infrastructure provider is seeking a Senior Product Security Engineer in San Francisco, CA. In this role, you will assess security risks for new products and features, collaborate with engineering teams, and champion a security culture. The ideal candidate will possess expertise in secure architecture design and a passion for mentoring. This remote role offers a competitive salary, ranging from $161,000 to $220,000, along with benefits and growth opportunities.
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$161k-220k yearly 3d ago
Staff CI/CD Engineer - Lead AI-Driven Pipelines
Asana 4.6
San Francisco, CA jobs
A leading platform for human + AI collaboration in San Francisco seeks a Staff CI/CD Engineer to enhance and develop high-performance CI/CD pipelines. The ideal candidate will have extensive experience in software engineering, particularly in CI/CD for large-scale environments, and possess strong leadership abilities. This role offers competitive compensation ranging from $248,000 to $282,000 annually, along with additional benefits and a hybrid work model.
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$248k-282k yearly 4d ago
Staff iOS Engineer - AI-Driven Mobile Search
Slack Enterprise 4.6
San Francisco, CA jobs
A leading messaging platform in San Francisco is seeking a Staff Engineer to lead mobile efforts in Search and AI. This role demands at least 7 years of mobile engineering experience, guiding technical strategies to enhance user experiences. Candidates should possess strong skills in Swift and iOS frameworks, alongside a collaborative mindset to work with product teams. This position offers competitive compensation and a vibrant work culture.
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$130k-210k yearly est. 3d ago
Staff Engineer - Edge Caching & Distributed Data Services
Slack Enterprise 4.6
San Francisco, CA jobs
A leading technology company based in San Francisco is looking for a talented software engineer to join the Distributed Data Services Team. You will design and maintain edge caching services that are critical to core functionalities. The ideal candidate has 4+ years of experience with large-scale systems, strong operational reliability understanding, and is skilled in modern development practices. Opportunities for growth and collaboration in an inclusive environment are key drivers of this role.
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$130k-210k yearly est. 5d ago
Staff AI Engineer: Generative Contract Features
Ironclad 3.8
San Francisco, CA jobs
A leading AI contracting platform in San Francisco seeks a Generative AI Application Developer to drive the development of innovative legal AI features. You will work on building and deploying scalable solutions using TypeScript, Node.js, and React. The ideal candidate has profound experience with LLMs and proven SaaS expertise. This role offers a competitive salary and a comprehensive benefits package.
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$108k-182k yearly est. 3d ago
Staff Salesforce Engineer: Architect & Lead AI-Driven Solutions
Okta, Inc. 4.3
San Francisco, CA jobs
A leading identity management company is looking for a Staff Software Engineer to join their team in San Francisco. This role focuses on Salesforce development, requiring expertise in Java, Python, and related technologies. The engineer will design and develop solutions, mentor junior staff, and drive technical initiatives. Competitive compensation is offered, with a salary range between $170,000 and $254,000. Join a collaborative and innovative environment.
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$170k-254k yearly 1d ago
Senior Electronics Engineer - Ground Systems Integration Lead
Northrop Grumman Corp. (JP 4.7
San Diego, CA jobs
A leading aerospace and defense company is looking for a Senior Principal Electronics Engineer - Hardware and Software Integration Lead in San Diego. This role involves leading the development of next-generation ground system solutions, managing software supplier interactions, and coordinating various engineering efforts. Candidates should have a strong background in STEM, relevant work experience, and active security clearance. The position requires on-site work but could offer hybrid options in the future.
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$92k-121k yearly est. 5d ago
Staff Backend Engineer - Platform APIs & Scalable Systems
Slack 4.6
San Francisco, CA jobs
A leading cloud software company is seeking a Staff Product-Driven Backend Engineer in San Francisco. The role involves designing scalable systems and APIs, collaborating with cross-functional teams, and contributing to innovative features that enhance user experience. Ideal candidates will have over 10 years of experience in web applications and familiarity with PHP, Java, and MySQL. Join to help redefine enterprise collaboration through advanced integrations with Slack.
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$123k-174k yearly est. 5d ago
Senior Engineer - PlatSec Cryptographic Trust
F5 Networks, Inc. 4.6
San Jose, CA jobs
**Role Overview:** The Senior Software Engineer will work closely with the Principal Engineer to design, implement, and maintain PKI and Post-Quantum Cryptography (PQC) solutions for enterprise-scale environments. This role focuses on integrating cryptographic systems, automating processes, and ensuring secure certificate lifecycle management while providing technical mentorship within the team. **Key Responsibilities:** Provide mentorship and technical oversight to junior engineers on PKI-related tasks. **Technical Skills:** Proficiency with automation tools and scripting languages (e.g., Terraform, Python, PowerShell).Strong experience in securing cloud environments through cryptographic solutions (AWS, Azure, Kubernetes). Familiarity with security frameworks (NIST, ISO 27001) and PKI protocols (X.509, OCSP). **Core Competencies:** Leadership in guiding junior developers on technical tasks. Collaborative skills to work within a cross-functional team environment. **Education** It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.**Remote**: Primarily work from designated home location but can come into an F5 office to work or travel to an offsite location as needed.
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$131k-166k yearly est. 5d ago
Senior Electronics & Semiconductor Engineer
Capgemini 4.5
San Francisco, CA jobs
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.
About the job you're considering
Position: IC CAD Engineer - Analog Mixed-Signal Flow Automation
About the Role
We are seeking a skilled IC CAD Engineer to support our Analog Mixed-Signal (AMS) design teams. In this role, you will be responsible for maintaining and enhancing the CAD infrastructure, automating design flows, and supporting physical verification processes. You will collaborate closely with both analog and digital design teams, ensuring efficient and reliable design environments.
Key Responsibilities
Administer and maintain the CAD/EDA environment for analog and digital IC design teams.
Support and enhance design flows using tools from Cadence, Synopsys, Mentor, Keysight, Ansys, and others.
Develop and maintain automation scripts using Python and other scripting languages.
Manage and customize physical verification tools and decks (DRC, LVS, PEX, EM/IR, ESD, etc.).
Support PDK administration, including installation, regression testing, and custom PDK development (pcells, models, rule decks).
Collaborate with infrastructure teams to ensure optimal performance and availability of compute resources.
Provide layout and verification support to design teams across global locations.
Required Qualifications
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
4+ years of experience in CAD engineering for IC design.
Proficiency in Cadence Virtuoso, Calibre DRC/LVS, and other industry-standard tools.
Strong scripting skills in Python, SKILL, and Perl.
Solid understanding of analog and digital design flows.
Experience with EMIR analysis, physical verification (DRC/LVS/PEX/ERC), and waiver handling.
Strong fundamentals in software development and automation.
Excellent communication skills and ability to work effectively with remote teams.
Preferred Experience
Hands‑on experience with tools from Keysight and Ansys.
Familiarity with custom PDK development and automated regression testing.
Job Description - Grade Specific
Focus on Electrical, Electronics and Semiconductor. Fully competent in own area. Acts as a key contributor in a more complexor critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.
The base compensation range for this role in the posted location is: [$65,200 - $158,550 /yr]
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market‑leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
When you join Capgemini, you don't just start a new job. You become part of something bigger.
We bring together passionate, skilled people, a tech‑driven approach to innovation, and a deep commitment to our clients to help organizations unlock the true value of technology.
As a graduate or an experienced professional, you will be working with the world's leading brands to enhance and transform the way they do business.
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$65.2k-158.6k yearly 1d ago
Principal AI/ML Engineer - AdTech
Zeta Global 4.5
Senior engineer job at Zeta Global
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to *******************
Role Description
As a Principal AI/ML Engineer in our AdTech team, you will be a key individual contributor driving the development of advanced machine learning models and AI-driven features for our advertising platform. You will design, build, and deploy ML solutions for campaign optimization, user personalization, and creative content generation, operating at large scale and low latency to handle billions of ad events per day. This role requires deep expertise in machine learning techniques
and
the programmatic advertising ecosystem (e.g., real-time bidding and digital marketing data). You will work closely with engineering, product, and data science teams to ensure our ML systems are highly performant, scalable, and reliable. You will also spearhead innovation by leveraging large language models (LLMs) and intelligent agent architectures to create new capabilities that automate and enhance advertising campaigns.
Key Responsibilities
Machine Learning Leadership: Lead the design and implementation of scalable, high-performance, and resilient ML solutions for AdTech use cases. You will set technical direction for integrating AI/ML into our Demand-Side Platform and broader ad tech stack.
ML System Design: Architect and evolve the end-to-end machine learning pipeline - from data ingestion and training to real-time inference, for our real-time bidding, targeting, and optimization algorithms. Ensure that models seamlessly integrate with our ad serving architecture and handle low-latency, high-throughput requirements.
Technical Strategy: Define the technical roadmap and vision for AI/ML in our platform, evaluating new tools and techniques (including the latest in deep learning and LLMs) and making strategic build-vs-buy decisions. Continuously assess emerging technologies to keep our AdTech capabilities on the cutting edge.
AI & Agentic Applications: Develop intelligent systems using AI agents and agentic workflows to automate and optimize end-to-end campaign processes. Leverage LLMs and generative AI to enable autonomous campaign management tasks such as audience segmentation, dynamic bid adjustments, and creative asset generation.
Cross-Functional Collaboration: Partner with engineering, product, and data science teams to translate marketing objectives into ML-driven solutions. Work closely with stakeholders to deliver innovative features - including those powered by Large Language Models (LLMs), that enhance our advertising products.
Performance & Reliability: Ensure system robustness and stability for ML services in a high-concurrency, low-latency environment. Optimize algorithms and infrastructure for speed and scalability, and implement monitoring to maintain model performance and uptime in production.
Mentorship & Best Practices: Provide technical guidance and mentorship to other engineers and data scientists, fostering a culture of excellence in engineering and ML best practices. Review code and models, share knowledge, and champion continuous improvement across teams.
Required Qualifications
10+ years of experience in software engineering or data science, with at least 3-5 years in a principal engineer or lead ML role (preferably in the AdTech/MarTech industry).
Proven experience designing and building high-throughput, low-latency distributed systems or data pipelines for large-scale applications.
Deep expertise in the programmatic advertising ecosystem, including Demand-Side Platforms (DSPs), real-time bidding (RTB), Supply-Side Platforms (SSPs), and ad exchanges.
Proficiency in programming languages such as Java, Go, and Python for building both data-intensive backend services and ML tools.
Hands-on experience with machine learning frameworks and libraries, especially PyTorch or TensorFlow, for developing and training models.
Strong experience with big data and streaming frameworks (e.g., Apache Spark, Kafka, Hadoop) for processing and analyzing large datasets.
Expertise with cloud platforms (preferably AWS) and related services for scalable ML model deployment and data storage.
Experience with various data stores, including both SQL and NoSQL databases (e.g., MySQL/PostgreSQL, Cassandra, DynamoDB, Redis).
Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing services at scale.
Excellent communication, presentation, and interpersonal skills, with ability to convey complex ML concepts to technical and non-technical stakeholders.
Preferred Qualifications
Experience with Large Language Models (LLMs) and generative AI applied to advertising, for example, using AI to generate ad copy, optimize creative content, or personalize messaging.
Experience designing and implementing agentic workflows that enable autonomous decision-making and real-time optimization in marketing campaigns.
Experience with machine learning model serving and optimization for real-time inference applications (latency-critical environments).
Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
Knowledge of microservices architecture and event-driven design patterns in distributed systems.
A track record of contributions to open-source projects or speaking at industry conferences, demonstrating thought leadership in AI/ML.
BENEFITS & PERKS
Unlimited PTO
Excellent medical, dental, and vision coverage
Employee Equity
Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $300,000 - $400,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: ***************************************************
ZETA IN THE NEWS!
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