Applied AI Data Scientist

AE Studio; United States; Remote; USD 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Equity

Annual team retreat

Flexible scheduling

Job summary

AE Studio is seeking an applied data scientist to work across client projects, internal product initiatives, and exploratory research. The role blends practical ML delivery with experimentation and research into advanced AI systems, requiring both technical depth and creativity to turn ambiguous problems into useful products.

You will build data-driven solutions, develop and evaluate LLM-based systems, and collaborate with multidisciplinary teammates to communicate findings clearly.

Qualifications

• Proficient Python with real-user impact experience.
• Deep understanding of prompt engineering and retrieval-augmented generation.
• Strong background in statistical or causal ML and experimental design.
• Experience training NLP or computer-vision models with PyTorch/TF/JAX.
• Ability to work independently in iterative Kanban or Scrum.
• Excellent written and spoken English communication.

Responsibilities

• Build data-driven solutions addressing real-world product and client needs.
• Develop and evaluate systems involving large language models, including retrieval, prompting, multimodality, fine-tuning, and evaluation.
• Apply statistical or causal reasoning to experimental design and model assessment.
• Train or adapt NLP/vision models for practical applications.
• Collaborate with multidisciplinary teams and communicate findings clearly.
• Propose high-impact research ideas that may become new ventures or products.

Skills

Python

LLM lifecycle

Statistical/causal ML

NLP/ CV models

English communication

Agile/Kanban/Scrum

Tools

PyTorch

TensorFlow

JAX

Vector databases

Job description

Role overviewWork as an applied data scientist across client projects, internal product initiatives, and exploratory research. The role combines practical machine learning delivery with experimentation and research into advanced AI systems, requiring both technical depth and the creativity to turn ambiguous problems into useful products.

Responsibilities

• Build data-driven solutions that address real-world product and client needs.
• Develop, evaluate, and improve systems involving large language models, including retrieval, prompting, multimodality, fine-tuning, and evaluation.
• Apply statistical and causal reasoning to experimental design, uncertainty quantification, and rigorous model assessment.
• Train or adapt natural-language-processing and computer-vision models for practical applications.
• Collaborate with multidisciplinary teammates and communicate technical findings clearly.
• Propose and pursue high-impact research ideas that may develop into new internal ventures or products.

Requirements

• Strong Python programming ability and professional data-science experience delivering outcomes used by real users or organizations.
• Practical understanding of the LLM lifecycle, including prompt engineering, retrieval-augmented generation, few-shot methods, vector databases, multimodal systems, fine-tuning, and evaluation.
• Expertise in statistical or causal machine learning, experimental design, uncertainty, and model evaluation across tabular, time-series, or foundation-model tasks.
• Experience building or training NLP or computer-vision models with PyTorch, TensorFlow, or JAX.
• Ability to work independently, take ownership, and deliver in an iterative Kanban or Scrum environment.
• Strong English communication, product and UX awareness, and a collaborative approach.

Nice to have

• Experience taking a self-directed project from idea to launch.
• Startup experience, client relationship management, or a strong interest in AI alignment and its broader societal implications.

Benefits and work setupRemote-first work with flexible scheduling and the option to work from an office. The source also describes performance-based pay growth, employee equity, access to research and development opportunities, mentoring and knowledge sharing, health insurance, office lunches, and an annual team retreat.

Skills detected in the listing

Python Stakeholder Management Machine Learning LLM