Senior Applied Scientist
MotiveSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis)
- Proven track record of shipping high-quality data products, models, or features at scale
- Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions
- Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets
- Ability to effectively communicate complex technical concepts to both technical and non-technical audiences
- Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI
- Excited to join a dynamic, hybrid team in either San Francisco or New York City
Responsibilities
- Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers
- Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models
- End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation
- Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation
- Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy
- Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems
- Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth
Skills
Statistical Modeling
Data Pipelines
Model Evaluation
Data Ingestion
Generative AI
Experimentation
Scale AI
AI platform for data and models
About Scale AI
Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.
San Francisco, CaliforniaHeadquarters
2016Year Founded
$1,558.9MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees
Benefits
Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.
Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.
Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.
Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.
Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.
Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.
Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.
Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.
Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Risks
Legal issues over labor practices could harm Scale AI's reputation and financial standing.
Controversial stance on DEI may deter potential talent and partnerships, affecting growth.
Expansion in San Francisco could increase operational costs amid uncertain economic conditions.
Differentiation
Scale AI offers comprehensive data annotation for AI, unlike competitors focusing on single modalities.
The platform supports diverse clients, from tech giants to government agencies, enhancing its versatility.
Scale AI's commitment to AI safety initiatives sets it apart in responsible AI development.
Upsides
Growing demand for AI data annotation boosts Scale AI's market potential and client base.
Expansion into defense applications opens new revenue streams and strategic partnerships.
Partnerships with AI safety organizations enhance Scale AI's reputation as a responsible AI leader.
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