company

Founding Machine Learning Engineer

Effective AISan Francisco
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Entry Level

Qualifications

We are looking for candidates with a strong background in machine learning and natural language processing. The ideal candidate will possess:Experience in designing and developing ML models, particularly in reinforcement learning. Strong programming skills in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch). Ability to analyze complex data sets and deliver actionable insights. Excellent problem-solving skills and a passion for innovation. Strong communication skills and the ability to work collaboratively in a fast-paced environment.

About the job

Founding Machine Learning Engineer

Location: San Francisco, CA Work Model: In-office 5 days a week

About Us

At Effective AI, we are pioneering the future of work. Our vision is to push the boundaries of AI beyond mere repetitive tasks, focusing instead on intricate knowledge work that requires expertise and multi-faceted reasoning. We are developing advanced AI Teammates that are designed to navigate complex workflows and collaborate seamlessly with human professionals. Our initial focus is on the trillion-dollar U. S. Property & Casualty insurance sector, a domain rich with complexity and data, making it an ideal arena for our innovations.

We proudly secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.

Our committed team is based in San Francisco and thrives on in-person collaboration to tackle these significant challenges.

Your Role

As a Founding Machine Learning Engineer, you will be an integral member of our founding team, responsible for architecting, training, and deploying the agent loops that power our AI Teammates from inception. You will address some of the most pressing challenges in agentic AI and natural language processing, developing AI solutions adept at performing essential insurance functions such as underwriting and claims processing.

Your responsibilities will include:

  • Architecting and Developing Core ML Pipelines: Design, train, and fine-tune cutting-edge language models (including reinforcement learning agents) to facilitate long-term task accomplishment and complex decision-making.
  • Implementing Nuanced Reasoning: Integrate machine learning techniques that empower agents to make informed decisions based on ambiguous or incomplete data, akin to human expert reasoning and generalization.
  • Building Intelligent, Tool-Using Agents: Engineer the ML systems that enable our agents to dynamically select and utilize a broad array of external tools—including APIs, databases, web searches, and Excel-based pricing algorithms—to gather necessary information and execute actions.
  • Designing and Implementing Robust Evaluation Frameworks: Create and employ comprehensive evaluation metrics and systems to rigorously assess and benchmark agent performance, identify areas for enhancement, and guarantee reliability and safety in real-world insurance processes.
  • Enabling Continuous Adaptation and Learning: Develop resilient ML pipelines and feedback loops that facilitate ongoing learning and adaptation.

About Effective AI

Effective AI is at the forefront of reshaping the work landscape through intelligent automation. With a focus on complex decision-making processes within the insurance industry, we leverage powerful AI technologies to enhance efficiency and accuracy. Our passionate team is dedicated to fostering innovation and delivering transformative solutions.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.