1

Senior Scientist Skin Jobs (NOW HIRING)

Manager, Quality Skin Care

Scottsdale, AZ ยท On-site

$109K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Reporting to Sr Director, Quality - NA & Skin Health, this role manages two direct reports (Quality ... Required Qualifications Bachelor's degree in Science, Engineering, or a related technical field ...

NJ ยท On-site

$124 - $174/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet. Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers ...

Showing results 21-40

Senior Scientist Skin information

See salary details

$55.5K

$119.5K

$174K

How much do senior scientist skin jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior scientist skin in the United States is $119,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What does a senior scientist skin do?

A Senior Scientist Skin specializes in researching and developing products or treatments related to skin health, such as cosmetics, dermatological therapies, or skincare formulations. They design and conduct experiments, analyze data, and collaborate with cross-functional teams to create innovative solutions for skin-related concerns. Their role often includes staying current with scientific advancements, ensuring product safety and efficacy, and mentoring junior scientists. Senior Scientists may also contribute to regulatory documentation and present findings to stakeholders.

What are the key skills and qualifications needed to thrive as a senior scientist skin?

To thrive as a Senior Scientist Skin, you need advanced knowledge in skin biology, dermatological research, and formulation science, typically supported by a PhD or Master's degree in a relevant field. Familiarity with laboratory techniques, analytical instrumentation, and regulatory guidelines such as FDA or EU cosmetics regulations is essential. Strong project management, problem-solving skills, and the ability to communicate complex concepts effectively are crucial soft skills. These competencies ensure innovative product development, regulatory compliance, and successful collaboration across multidisciplinary teams.

How does a senior scientist skin typically collaborate with cross-functional teams during product development?

A Senior Scientist Skin works closely with colleagues in formulation, clinical, regulatory, and marketing departments to develop and launch skincare products. They often lead technical discussions, provide scientific insights, and ensure that proposed formulations meet both efficacy and safety standards. Regular meetings and collaborative project management tools are used to align goals, share progress, and address challenges. This cross-functional teamwork is essential for translating scientific research into commercially successful products.

What is the difference between Senior Scientist Skin vs Research Scientist Skin?

AspectSenior Scientist SkinResearch Scientist Skin
Required CredentialsMaster's or PhD in Dermatology, Biology, or related field; extensive research experienceMaster's or PhD in relevant field; early to mid-career research experience
Work EnvironmentLeading research projects, mentoring junior staff, collaborating with cross-functional teamsConducting experiments, data analysis, supporting research initiatives
Employer & Industry UsagePharmaceutical, cosmetics, biotech companies; R&D departmentsAcademic institutions, industry R&D labs, cosmetics companies

Senior Scientist Skin typically holds a more advanced role with leadership responsibilities and extensive experience, whereas Research Scientist Skin focuses on conducting research and experiments. Both roles require similar educational backgrounds but differ in scope and seniority.

More about Senior Scientist Skin jobs

What cities are hiring for Senior Scientist Skin jobs?

Cities with the most Senior Scientist Skin job openings:

What states have the most Senior Scientist Skin jobs?

States with the most job openings for Senior Scientist Skin jobs include:

Infographic showing various Senior Scientist Skin job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $119,503 per year, or $57.5 per hour.

Sr. Machine Learning Engineer, Responsible AI- Applied Research Science

Pinterest

San Francisco, CA โ€ข On-site, Remote

$107K - $147K/yr

Full-time

Re-posted 6 days ago


Job description

The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest's advanced machine learning team. ATG's goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics.

At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 550M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience.

Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest's vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type.

We are looking for a Sr Machine Learning Engineer. You'll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you'll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest.

What you'll do:

  • Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest. These include but are not limited to Gen AI product evaluations, foundation models safety fine tuning and alignment, and Red Teaming.ย 
  • Collaborate with other engineering teams (trust and safety, ML Platform, Content Understanding, Search, Homefeed,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.
  • Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.
  • Work with the team and senior leaders at the company to define and drive technical strategy in this area.

What we're looking for:

  • Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.
  • Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS) and their applications in large-scale Search and Recommender Systems.
  • Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.
  • 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
  • 1+ years experience leading cross-team engineering efforts.
  • Masters or PhD in Comp Sci or related fields

Nice to have:

  • Publications at top ML conferences
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied research and the Pinterest product

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit ourย PinFlexย page to learn more about our working model.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the United States.ย 

#LI-REMOTE
#LI-AK7