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Creative Science Jobs (NOW HIRING)

Kargo

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/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 ...

KARGO

Senior Machine Learning Engineer

New York, NY

$114K - $157K/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 ...

ZO Skin Health, Inc

VP - Global Creative

Irvine, CA

Creative Leadership & Brand Vision * Develop and articulate the overarching creative vision and ... Evolve and maintain brand guidelines that reflect ZO's position at the intersection of science ...

ZO Skin Health, Inc.

VP - Global Creative

Irvine, CA · On-site

Creative Leadership & Brand Vision * Develop and articulate the overarching creative vision and ... Evolve and maintain brand guidelines that reflect ZO's position at the intersection of science ...

Medpace, Inc.

Creative Coordinator

Cincinnati, OH

As our creative services expand, we are seeking highly motivated and organized creative ... Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on ...

Inizio Evoke

Creative Director, Copy

New York, NY · On-site +1

We are looking for a strategic thinker and an experienced creative who is passionate about science, healthcare marketing, and human decision-making. If you enjoy guiding teams, mentoring creatives ...

Medpace, Inc.

Creative Coordinator

Cincinnati, OH · On-site

As our creative services expand, we are seeking highly motivated and organized creative ... Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on ...

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Creative Science information

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$40K

$90.3K

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How much do creative science jobs pay per year?

As of Jul 12, 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 job?

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 professions make 200,000 a year without a degree?

In creative science fields, roles such as freelance scientific consultants, specialized technical writers, or data analysts with strong skills and experience can reach or exceed $200,000 annually without a formal degree. Success often depends on expertise, portfolio, certifications, and industry demand, with many professionals leveraging skills in programming, data analysis, or scientific communication to achieve high earnings.

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.

Which 3 jobs will survive AI?

Creative science roles such as scientific researchers, data analysts, and technical writers are likely to persist as they require complex problem-solving, critical thinking, and specialized knowledge that AI cannot fully replicate. These jobs often involve interpreting data, designing experiments, and communicating complex concepts, which depend on human creativity and expertise. Skills in domain-specific understanding and adaptability will remain valuable in these fields.

What careers combine creativity and science?

Creative Science roles include careers like scientific illustrators, data visualization specialists, and science communicators, which blend artistic skills with scientific knowledge. These jobs often require proficiency in design tools, understanding of scientific concepts, and strong communication skills to present complex information visually or narratively.

What professions make $500,000 a year?

Professions in the creative science field that can reach or exceed $500,000 annually include senior data scientists, machine learning engineers, and AI research directors, especially in high-demand industries like technology and finance. These roles typically require advanced skills, extensive experience, and often involve leadership or specialized expertise in data analysis, programming, or scientific research.
More about Creative Science jobs
What cities are hiring for Creative Science jobs? Cities with the most Creative Science job openings:
What are the most commonly searched types of Creative Science jobs? The most popular types of Creative Science jobs are:
What states have the most Creative Science jobs? States with the most job openings for Creative Science jobs include:
What job categories do people searching Creative Science jobs look for? The top searched job categories for Creative Science jobs are:
Creative Science jobs near you
Infographic showing various Creative Science job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 78% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $90,276 per year, or $43.4 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Kargo

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted yesterday

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.
Mission
Own the evolution of Finetouch, Kargo's creative scoring system, by 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.
Outcomes - What Success Looks like in 6-12 months
  • Ship the next generation of Finetouch. Deliver a measurably improved version of the creative scoring model - 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 for Creative Sciences. Establish end-to-end pipelines (training, fine-tuning, deployment, monitoring) on MLflow/Kubeflow/Ray Train so model iterations move from notebook to production in days, not weeks, with full reproducibility.
  • Scale distributed training and inference. Reduce training time and inference cost on multimodal/VLM workloads through Ray, PyTorch Distributed, and right-sized cloud infrastructure - enabling larger models and faster experimentation cycles.
  • Expose Finetouch as a platform. 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.
  • Operationalize model reliability. Deploy real-time monitoring, drift detection, and alerting so production model degradation is caught before it affects creative decisions, with clear runbooks and on-call ownership.

Skills - Core Technical Capabilities
Required:
  • 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
  • Background in creative scoring, aesthetic modeling, or ad performance prediction

Competencies - Behaviors We Like to See
Research-to-Production Judgment
  • Knows when a model is good enough to ship vs. when it needs another iteration - doesn't over-engineer or under-validate
  • Translates papers and prototypes into systems that survive production traffic, monitoring, and on-call

Systems Thinking at Scale
  • Designs for the second and third version of the model, not just the first - pipelines, abstractions, and infra that compound over time
  • Optimizes the full stack: training cost, inference latency, and developer iteration speed, not just model accuracy

Cross-Functional Translation
  • Explains multimodal modeling tradeoffs to Product and Creative stakeholders in terms of business impact, not architecture diagrams
  • Partners with Data Science and Platform Engineering as co-owners, not handoff points

Operational Ownership
  • Treats drift, latency regressions, and silent failures as personal - instruments systems so problems are caught early and root-caused fast
  • Documents architecture, decisions, and runbooks so the platform outlives any single contributor

In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. 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.

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