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Adaptive Ml Jobs (NOW HIRING)

Zeta Global

Director, Data Science & Analytics

Support the development, application, and adoption of predictive and adaptive ML/AI solutions, helping translate model outputs into clear business recommendations and client value. REQUIREMENTS * 10+ ...

HARMAN International

Audio ML Engineer (Research)

... drive adaptive EQ/DRC/spatial parameters) while maintaining stability and explainability. • Define data collection and labeling strategies, data QA, augmentation, bias checks, and experiment ...

Pear

AI / ML Engineer - Known

San Francisco, CA · On-site

... adaptive recommendation loops, and natural voice/LLM-based interactions that help users connect ... Develop and maintain ML pipelines for data ingestion, feature generation, model training ...

Praxis, Inc.

AI / ML Engineer - Known

San Francisco, CA · On-site

$180 - $240/hr

... adaptive recommendation loops, and natural voice/LLM-based interactions that help users connect ... Develop and maintain ML pipelines for data ingestion, feature generation, model training ...

Sandisk

AI/ML ASIC Architect

Milpitas, CA

In this AI/ML ASIC Architecture position, you will develop AI Storage Solutions based advanced ... and highly competitive adaptive accelerators solutions. Typical activities include writing ...

Sandisk

AI/ML ASIC Architect

Milpitas, CA

In this AI/ML ASIC Architecture position, you will develop AI Storage Solutions based advanced ... and highly competitive adaptive accelerators solutions. Typical activities include writing ...

Sandisk

AI/ML ASIC Architect

Milpitas, CA

In this AI/ML ASIC Architecture position, you will develop AI Storage Solutions based advanced ... and highly competitive adaptive accelerators solutions. Typical activities include writing ...

Sandisk

AI/ML ASIC Architect

Milpitas, CA · On-site

In this AI/ML ASIC Architecture position, you will develop AI Storage Solutions based advanced ... and highly competitive adaptive accelerators solutions. Typical activities include writing ...

Sandisk

AI/ML ASIC Architect

Milpitas, CA · On-site

$136K - $226K/yr

In this AI/ML ASIC Architecture position, you will develop AI Storage Solutions based advanced ... and highly competitive adaptive accelerators solutions. Typical activities include writing ...

Sandisk

AI/ML ASIC Architect

Milpitas, CA · On-site

$194K - $322K/yr

In this AI/ML ASIC Architecture position, you will develop AI Storage Solutions based advanced ... and highly competitive adaptive accelerators solutions. Typical activities include writing ...

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Adaptive Ml information

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$150K

How much do adaptive ml jobs pay per year?

As of Aug 31, 2026, the average yearly pay for adaptive ml in the United States is $102,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $119,000.00 per year, depending on experience, location, and employer.

What is an adaptive ML engineer?

An Adaptive ML Engineer is a professional who designs, develops, and maintains machine learning systems that can adjust and improve their performance dynamically in response to new data or changing environments. These engineers focus on creating algorithms and models that evolve over time, often using techniques like online learning, reinforcement learning, or continual learning. Their work is crucial in applications where static models are insufficient, such as real-time recommendations, autonomous vehicles, and personalized user experiences. Adaptive ML Engineers also ensure that their systems remain robust, accurate, and relevant as data patterns shift.

What are the key skills and qualifications needed to thrive as an adaptive ML engineer?

To thrive as an Adaptive Machine Learning Engineer, you need strong foundations in machine learning algorithms, data analysis, and programming (often with a degree in computer science or a related field). Familiarity with ML frameworks (such as TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, along with knowledge of adaptive and online learning techniques. Strong problem-solving abilities, creativity, and effective communication skills help you design, iterate, and implement adaptive models that respond to evolving data. These skills ensure that ML solutions can dynamically adjust to new information, maximizing their long-term effectiveness and impact.

What are common challenges faced by professionals working in adaptive ML roles, and how can they overcome them?

Professionals in Adaptive Machine Learning often encounter challenges such as handling non-stationary data streams, ensuring model stability during continuous updates, and addressing concept drift where data patterns change over time. To overcome these, it's important to implement rigorous monitoring systems, use robust validation techniques, and collaborate closely with data engineering teams to ensure data quality. Staying up to date with the latest research and leveraging online learning frameworks can also help adapt models efficiently and maintain high performance.

What is the difference between Adaptive Ml vs Data Scientist?

AspectAdaptive MlData Scientist
Required CredentialsTypically a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksUsually a degree in Data Science, Statistics, Computer Science, or related fields; strong programming and statistical skills
Work EnvironmentTech companies, AI startups, research labs focusing on machine learning applicationsVaried environments including tech firms, finance, healthcare, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing adaptive machine learning models and AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

Adaptive ML specialists focus on developing and implementing machine learning models that adapt over time, often working on AI systems. Data Scientists analyze data, build models, and generate insights. While both roles require strong technical skills, Adaptive ML roles are more specialized in creating adaptive algorithms, whereas Data Scientists focus on broader data analysis and modeling tasks.

Is adaptive machine learning a high paying job?

Adaptive machine learning roles are generally well-paid due to the specialized skills required, such as expertise in algorithms, data analysis, and programming languages like Python or R. Salaries vary based on experience, location, and industry, but professionals in this field often earn above average wages compared to other tech roles.

What is adaptive learning in machine learning?

Adaptive learning in machine learning refers to systems that automatically adjust their models or algorithms based on new data or changing conditions to improve performance over time. For an adaptive ML role, skills in data analysis, model tuning, and familiarity with algorithms like reinforcement learning are essential to develop systems that learn and evolve dynamically.
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Adaptive Ml jobs near you
Infographic showing various Adaptive Ml job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 22% Full Time, 73% Part Time, and 4% Contract. Highlights an 31% Physical, 1% Hybrid, and 68% Remote job distribution, with an average salary of $102,439 per year, or $49.2 per hour.

Director, Data Science & Analytics

Zeta Global

Remote

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

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
Zeta Global is seeking a strategic, client-facing Director to join our ZX Data Science & Analytics team. This role is ideal for an experienced analytics leader who excels at transforming complex data into compelling narratives, influencing client strategy, and driving measurable business outcomes.
The Director will serve as a trusted analytics partner to clients and internal teams, bringing together marketing measurement, advanced analytics, media strategy, and data storytelling to make insights actionable. This individual will also help scale analytics best practices across clients and categories, strengthen partnerships with Sales and cross-functional teams, and contribute to the continued evolution of ZX Analytics solutions and measurement products.
This position reports to the VP of Data Science & Analytics.
Responsibilities:
  • Lead with Storytelling: Translate complex analytics and media performance into clear, persuasive narratives that connect insights to client business priorities and inspire action.
  • Shape Client Strategy: Develop analytics approaches aligned with client objectives, using insights to inform acquisition, retention, lifetime value, media, and optimization strategies. Serve as a trusted analytics advisor to clients and internal partners.
  • Drive Measurement Excellence: Apply and advocate for best-in-class measurement methodologies, including Test/Holdout-based incrementality measurement. Help clients and internal teams understand the strengths, limitations, and business implications of different measurement approaches.
  • Scale Best Practices: Identify learnings across clients, campaigns, and categories and translate them into repeatable best practices, frameworks, and recommendations that improve the quality and consistency of analytics deliverables.
  • Team Leadership: manage and develop a team of analysts, including coaching, onboarding, workload prioritization, performance management, feedback, recognition, and career development. Mentor mid-level analysts in both technical and client-facing skills.
  • Lead Strategic Initiatives: Serve as analytics lead and subject matter expert for select strategic initiatives, helping define solutions, align stakeholders, and move work from concept through implementation.
  • Collaborate Cross-Functionally: Partner effectively with Sales, Client Services, Client Development, Operations, and other teams to solve client challenges, improve processes, and deliver high-quality analytics solutions with limited senior leadership intervention.
  • Innovate with AI: Support the development, application, and adoption of predictive and adaptive ML/AI solutions, helping translate model outputs into clear business recommendations and client value.

REQUIREMENTS
  • 10+ years of professional experience in analytics, marketing measurement, data science, media analytics, or a related discipline, with demonstrated progression in responsibility and client impact.
  • Proven ability to translate complex analytics into compelling stories and actionable recommendations for client and business audiences.
  • Strong client-facing experience with excellent presentation, communication, and stakeholder-management skills, including the ability to command an audience and serve as a model for effective client communication.
  • 3+ years in analytics leadership roles, ideally with team management experience.
  • Demonstrated subject matter expertise in one or more analytics, measurement, media, or industry domains, with the ability to share knowledge and elevate the capabilities of others.
  • Working familiarity with Python, SQL, Tableau or comparable analytical and visualization tools, as well as experience working with predictive analytics and/or ML/AI models.
  • Ability to operate independently, make sound decisions in support of clients and the business, give and receive feedback effectively, and challenge existing approaches constructively.
  • Bachelor's degree required; Master's preferred in Business Analytics, Data Science, Economics, or related fields.
  • Experience in Retail, Financial Services, Telecom, or Travel verticals is a plus.

This is a remote role based out of the United States.
BENEFITS & PERKS
  • Flexible PTO
  • Excellent medical, dental, and vision coverage
  • Employee Equity and Stock Purchase Plan
  • Employee Discounts, Virtual Wellness Classes, and Pet Insurance

SALARY RANGE
The compensation range for this role is $170,000-$190,000 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: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
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