Wealth

Applied Scientist – AI/ML

Wealth

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $160,000 - $170,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AzureETLPyTorchTensorflow

About the role

  • Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/Claude/Llama/MistralAI models into production systems.
  • Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences.
  • Design and implement scalable, efficient and highly precise Q&A RAG frameworks.
  • Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks.
  • Collaborate with other product managers and engineers in the team to build tools to evaluate and improve the end-to-end AI quality of our production systems.
  • Effectively communicate and demonstrate work to stakeholders.

Requirements

  • Bachelor's, Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
  • Experience building sophisticated RAG pipelines with LLMs (with frameworks like LangChain, LlamaIndex, Hamilton, etc.)
  • Experience working on deep learning architectures specifically with Natural language-based models (Pytorch/Tensorflow), vector databases and graph databases
  • Experience developing applications using prompt engineering, fine tuning, Google Vertex AI APIs, Azure Open AI APIs or equivalent.
Benefits
  • Competitive Salary.
  • Fully remote, flexible work environment. We do however meet together in person several times a year.
  • Full medical and dental benefits.
  • Unlimited PTO in an environment where taking time off to relax or recharge is supported and encouraged.
  • Paid Parental Leave.
  • Company equity managed through Carta.
  • 401k with Match and 100% vesting upon hire.
  • Free estate planning!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Large Language ModelsNatural Language ProcessingComputer VisionExtract, Transform, LoadRAG frameworksDeep LearningPrompt EngineeringFine TuningPytorchTensorflow
Soft skills
CollaborationCommunicationDemonstration
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