Senior Backend Engineer, AI Team

Acorns

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Review and analyze proprietary datasets, Vector database architecture, pipelines, and tools to identify improvements
  • Contribute to customer-facing projects, including debugging models and scaling pipelines
  • Deliver the virtual support bot MVP to production
  • Collaborate with cross-functional teams to align AI efforts with business goals
  • Mentor junior team members and drive innovation through LLM capabilities
  • Optimize data pipelines and establish scalable monitoring processes

Requirements

  • Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Data Science, Statistics, or a STEM-related field
  • 5+ years of software engineering experience
  • 3+ years of experience in AI, data science, or machine learning engineering
  • 3+ years of experience with cloud technologies like AWS, Bedrock, Sagemaker, Databricks, or Kubernetes
  • Foundational knowledge of Generative AI, Transformers, fine-tuning LLMs, Search ranking, RAG, and LLM Agents
  • Experience tuning neural networks on custom datasets
  • Experience with Huggingface, LangChain, and chatbot development
  • Proficiency in Python or PyTorch, Pandas, NumPy, SciKit-Learn, and Matplotlib

Benefits

  • Competitive salary and stock options
  • Comprehensive benefits package
  • Flexible work location and hours
  • 401(k) matching
  • Monthly Acorns and GoHenry account contributions
  • Mindfulness and Financial Wellness resources
  • Career development and leadership programs

About the Company

Acorns is a financial wellness app that helps everyday people and families save and invest money for the long term. Since 2014, Acorns has grown into a global company serving the needs of kids, teens, adults, and parents.

Skills & tools

PythonPyTorchLLMAWSGenerative AI

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years software engineering experience
  2. 023+ years AI/ML engineering experience
  3. 03Experience with AWS, Bedrock, or Sagemaker
  4. 04Knowledge of Generative AI and RAG
  5. 05Proficiency in Python or PyTorch
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