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Creative Science Jobs (NOW HIRING)

KARGO

Senior Machine Learning Engineer

New York, NY

$150K - $175K/yr

Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC ...

TriquetraTM

Conversion and Creative Strategist

OH · Remote

Conversion & Creative Strategist Reporting To: VP of Growth / Founder Job Summary The Conversion ... This role exists to bridge the gap between science and conversion--translating complex product ...

Klick

This role blends hands-on concepting with mentorship, helping teams translate scientific complexity ... Oversee creative deliverables from concept through production, ensuring quality, accuracy, and ...

New

Klick

This role blends hands-on concepting with mentorship, helping teams translate scientific complexity ... Oversee creative deliverables from concept through production, ensuring quality, accuracy, and ...

New

hhglobal

Creative Technologist

New York, NY

Work closely with Data Science and Media teams to translate performance data into actionable creative requirements, building systems that enable real-time asset optimization and personalization at ...

Amazon

Design Technologist II, Creative X

Seattle, WA · On-site

Key job responsibilities - Build systems that allow anyone to prototype within production constraints - Build agent-based systems - Partner with science to refine GenAI creative workflows - Prototype ...

hhglobal

Creative Technologist

New York, NY · On-site

Work closely with Data Science and Media teams to translate performance data into actionable creative requirements, building systems that enable real-time asset optimization and personalization at ...

hhglobal

Creative Technologist

New York, NY

Work closely with Data Science and Media teams to translate performance data into actionable creative requirements, building systems that enable real-time asset optimization and personalization at ...

hhglobal

Creative Technologist

New York, NY · On-site

Work closely with Data Science and Media teams to translate performance data into actionable creative requirements, building systems that enable real-time asset optimization and personalization at ...

Amazon

Design Technologist II, Creative X

New York, NY · On-site

Key job responsibilities - Build systems that allow anyone to prototype within production constraints - Build agent-based systems - Partner with science to refine GenAI creative workflows - Prototype ...

hhglobal

Creative Technologist

New York, NY

Work closely with Data Science and Media teams to translate performance data into actionable creative requirements, building systems that enable real-time asset optimization and personalization at ...

Iff

Join a collaborative, creative and science-driven team of Flavorists, Laboratory Technicians and Applications experts focused on developing innovative bakery, bar and confectionery solutions.

New

Whitbread

Creative Technologist

New York, NY · On-site

Work closely with Data Science and Media teams to translate performance data into actionable creative requirements, building systems that enable real-time asset optimization and personalization at ...

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How much do creative science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for creative science in the United States is $90,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a Creative Science?

A Creative Science job combines scientific knowledge with creative problem-solving to develop innovative ideas, products, or solutions. Professionals in this field use analytical thinking and imagination to apply science in new and unique ways, often working in fields like research, design, technology, or communication. They may collaborate on projects that blend science with art, education, media, or product development to make complex concepts more engaging and accessible. Creativity and scientific expertise are equally important in this role.

What are the key skills and qualifications needed to thrive in the Creative Science position, and why are they important?

To excel in a Creative Science role, you need a solid background in scientific research or applied sciences, complemented by a flair for innovation and idea generation. Familiarity with laboratory equipment, data analysis software, and creative problem-solving methodologies is commonly expected, and certifications in fields such as laboratory practices or design thinking can be valuable. Strong communication, adaptability, and collaboration are key soft skills for presenting complex concepts in accessible ways and working across multidisciplinary teams. These skills are crucial for driving scientific advancement through inventive solutions and effectively translating research into real-world applications.

What are some common challenges faced in a Creative Science role?

Professionals in Creative Science often navigate the challenge of balancing scientific rigor with innovative thinking, ensuring new ideas are both feasible and grounded in evidence. Adapting to rapidly changing technology and collaborating with team members from diverse backgrounds—such as engineers, designers, and business strategists—can also present unique obstacles. Additionally, translating conceptual ideas into practical experiments or products may require flexibility and strong project management skills. Despite these challenges, the role offers a dynamic work environment where continuous learning and creative problem-solving are highly valued.

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Cities with the most Creative Science job openings:

What are the most commonly searched types of Creative Science jobs?

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What states have the most Creative Science jobs?

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creative science jobs near you
Infographic showing various Creative Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $90,276 per year, or $43.4 per hour.

Senior Machine Learning Engineer

KARGO

New York, NY

$150K - $175K/yr

Full-time

Re-posted 12 days ago

Job description

Who We Are
Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.


Who We Hire
Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it.

The Opportunity

Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system—leading the design and production deployment of multimodal ML models that quantify creative quality and predict ad performance. This role is the technical anchor for the Creative Sciences Platform, translating research in LLMs, VLMs, and multimodal learning into scalable, reliable systems that creative and product teams build on. Success means Finetouch becomes faster, smarter, and more trusted as the intelligence layer behind Kargo's creative analytics.

The Daily To-Do

  • Ship the next generation of Finetouch—delivering better predictive accuracy on creative performance, expanded multimodal signal coverage (visual + text + engagement), and validated lift over the current baseline
  • Stand up production-grade MLOps pipelines—training, fine-tuning, deployment, monitoring—on MLflow/Kubeflow/Ray Train so model iterations move from notebook to production in days, not weeks
  • Scale distributed training and inference on multimodal/VLM workloads through Ray, PyTorch Distributed, and right-sized cloud infrastructure—enabling larger models and faster experimentation cycles
  • Build and operate the APIs, embedding services, and model endpoints that let Glossi and other Kargo creative platforms consume scoring in real time, with documented SLAs and integration patterns
  • Deploy real-time monitoring, drift detection, and alerting so production model degradation is caught before it affects creative decisions
  • Explain multimodal modeling tradeoffs to Product and Creative stakeholders in terms of business impact, partnering with Data Science and Platform Engineering as co-owners, not handoff points
  • Document architecture, decisions, and runbooks so the platform outlives any single contributor

Qualifications

  • 5+ years in ML engineering or MLOps, with shipped production systems involving LLMs, VLMs, or multimodal architectures
  • Expert in Python and PyTorch (or TensorFlow), plus distributed training frameworks (Ray, PyTorch Lightning, Horovod)
  • Hands-on with MLOps tooling: MLflow, Weights & Biases, Kubeflow, Argo, or Airflow for orchestration, experiment tracking, and automated retraining
  • Cloud-native ML deployment on AWS (SageMaker), GCP (Vertex AI), or Azure ML, with infrastructure-as-code (Terraform, Helm)
  • Production fluency with Docker, Kubernetes, and CI/CD patterns for ML
  • Strong SQL, data pipeline, and feature store design for scalable experimentation
  • Preferred: experience with vector databases, embedding pipelines, and real-time retrieval systems, plus a background in creative scoring, aesthetic modeling, or ad performance prediction

In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. In addition to base salary, this role is eligible for variable compensation — either the Kargo Sales Incentive Plan (sales roles) or an annual discretionary bonus (all other roles). Actual compensation may vary based on factors such as geographic location, work experience, education, and skills.

U.S Salary Range
$150,000—$175,000 USD

Our Laurels

  • AdAge Best Places to Work
  • ThinkLA Partner of the Year
  • Built In Best Places to Work
  • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
  • Martech Breakthrough Awards - Best Overall Adtech Company
  • Digiday Media Awards Best Event
  • Cynopsis Media Impact Awards-Best CTV Platform
  • Martech Breakthrough Awards-CTV Innovation
  • Adweek Media Plan of the Year Awards - Best Use of Insights

Follow Our Lead

  • Big Picture: kargo.com
  • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo)

Kargo is an Equal Opportunity Employer. We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment.

Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.