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 www.zetaglobal.com.
The Role
We’re looking for a skilled ML Engineer / Data Scientist with 3+ years of software or applied ML experience to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on AWS.This role sits at the intersection of data science and engineering: exploring data, developing models, running rigorous experiments, and bringing the best approaches into production with a reliable, reproducible workflow. If strong Python skills, curiosity about hard modeling problems, and collaborative work in multicultural teams are a fit, this is a chance to do meaningful, end-to-end ML work—not just notebooks, and not just infrastructure.
Who you are:
- Strong foundation in machine learning, statistics and experiment design.
- Experience building models for real business or product problems, not only academic benchmarks.
- Comfortable working with structured and unstructured data: feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.
- Able to compare approaches with clear metrics, error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).
- Interest in modern ML, including classical ML, deep learning, and LLM / GenAI workflows where relevant (fine-tuning, RAG, evaluation, prompt/versioning).
- Proficient in Python and able to write clean, modular, testable code.
- Experience developing and deploying ML solutions in a cloud environment, especially AWS.
- Comfortable moving from prototype to production: packaging models, building inference paths, monitoring performance, and iterating after launch.
- Independent engineer who can own work from problem framing → experimentation → implementation → rollout.
- Excellent written and spoken English.
- Enjoy working closely with engineers, product partners, and other data scientists.
- Clear communicator who can explain methods, results, and limitations to technical and non-technical audiences.
- Master’s degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar), or equivalent practical experience.
Nice to have:
- Experience with scikit-learn, PyTorch, TensorFlow, XGBoost, or similar modeling stacks.
- Familiarity with ML experiment tracking and reproducibility (e.g. MLflow, W&B).
- Experience with SQL, data warehouses/lakes, and pipeline tools such as Airflow, dbt, or Spark.
- Exposure to feature stores, embedding pipelines, or vector search for retrieval-based systems.
- Experience building HTTP/gRPC APIs or lightweight services around model inference.
- Working knowledge of Docker, basic orchestration, and CI/CD (e.g. GitLab CI).
- Experience in agile, remote and async team environments.
- Publications, patents, Kaggle/competition results, or open-source ML contributions.
What you might like about this role:
- Hands-on modeling work with room to explore, benchmark, and improve real systems.
- Collaboration on ML patent submissions and participation in weekly ML / research paper review meetings.
- A multicultural, engineering-focused team with strong peer support.
- High trust and autonomy—clear goals, freedom in how to reach them.
- Internal product impact: meaningful projects that improve developer and user experience, not endless maintenance tickets.
- Short approval cycles and solid product partnership.
- A healthy meeting policy and emphasis on protecting focus time.
- Flexible hours, remote/home office options, and a calm, engineers-only office when on-site.
- Competitive compensation, including stock options.
We’re hiring across multiple levels. Title, scope, and compensation depend on experience—from strong applied ML generalists to senior people who can lead modeling direction and mentor others.
We’re especially interested in candidates who are technically strong, intellectually curious, and motivated by difficult, ambiguous problems where good data science and solid engineering both matter.
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: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
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Skills Required
- 3+ years of software or applied ML experience
- Strong foundation in machine learning, statistics, and experiment design
- Experience developing and deploying ML solutions in a cloud environment, especially AWS
- Proficient in Python and able to write clean, modular, testable code
- Experience working with structured and unstructured data, feature engineering, dataset construction, and leakage checks
- Ability to move models from prototype to production: packaging, inference paths, monitoring, and iteration
- Independent ownership from problem framing through rollout
- Excellent written and spoken English and ability to communicate to technical and non-technical audiences
- Master's degree in a relevant field or equivalent practical experience
- Experience building models for real business or product problems (not just academic benchmarks)
- Strong judgment on tradeoffs (accuracy, latency, cost, maintainability) and rigorous error analysis
What the Team is Saying
Zeta Global Compensation & Benefits Highlights
How does Zeta Global ensure its pay and bonus plans are competitive?
Zeta Global supports competitive compensation through a mix of base pay, equity, performance incentives, financial benefits and employee feedback-informed rewards. The company’s total rewards approach connects compensation with ownership, financial planning and benefits that support employees’ broader well-being.
- Competitive pay and incentives: Zeta lists competitive pay, equity, performance bonuses and an employee stock purchase plan as part of its compensation and total rewards offerings. Employees also describe compensation as a strength. A software engineer said Zeta offers “good compensation,” “best appraisals and pay raise” and a “supportive work environment,” while a director cited “compensation” as one of the strengths of the company.
- Equity and ownership: Zeta offers company equity and an employee stock purchase plan, giving employees ways to participate in the company’s growth. Its broader financial benefits also include a 401(k) with company match, monthly financial workshops, commuter benefits and insurance coverage, reinforcing compensation as part of a larger financial wellness package.
- Performance-oriented rewards: Employee reviews describe Zeta’s compensation as tied to performance and growth. One employee said, “Zeta pays well,” while another said compensation is “within industry range and revised every year.” A finance analyst cited “great incentives,” and a director described Zeta as a place to “shape your career” with room to move up. (Comparably; Glassdoor reviews; Indeed reviews)
- Benefits that strengthen total rewards: Zeta’s rewards package extends beyond pay through health, dental and vision insurance, mental health benefits, pet insurance, flexible time off, parental leave, adoption assistance, fertility and family-building support, travel assistance for reproductive health procedures, volunteer days and wellness resources. The company also says it uses wellness surveys and employee feedback to shape benefits updates, including expanded parental leave and adoption assistance.
- External signals:
- Compensation sentiment: Employees on external review sites describe Zeta’s compensation as “good,” “great” and competitive, with reviews citing pay raises, incentives, benefits and performance-based earning potential. (Glassdoor reviews; Indeed reviews; Comparably)
- Benefits signals: External profile data lists company equity, performance bonuses, an employee stock purchase plan and a home-office stipend for remote employees.
- Financial wellness: Zeta’s benefits include 401(k) matching, financial workshops, insurance coverage and employee stock purchase participation.
Bottom line: Zeta Global’s compensation approach combines competitive pay, performance incentives, equity, stock purchase access and broad benefits, giving employees both near-term rewards and longer-term financial participation in the company’s growth.
Zeta Global Insights
What We Do
Zeta Global (NYSE: ZETA) is the AI 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.
Why Work With Us
At Zeta, people have the freedom to think creatively, take initiative, and grow. We value curiosity, innovation, and teamwork, empowering everyone to use AI and technology in smarter ways to drive impact for clients, consumers, and each other while shaping the future together.
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Zeta Global Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
