Senior Machine Learning Engineer

About Us

AI71 is an applied research team dedicated to building responsible and impactful AI agents that empower knowledge workers. We work closely with our industry partners and leverage cutting-edge research from the Technology Innovation Institute (TII) to develop AI products that drive transformative change.

Are you an experienced Senior Machine Learning Engineer with a passion for AI? Do you have a proven track record of harnessing the power of data, developing advanced algorithms, and building predictive models? If so, AI71 offers a unique opportunity for you to play a pivotal role in shaping AI-driven solutions that have the potential to redefine industries.

As a Senior Machine Learning Engineer at AI71, you’ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.

• Model Development
  :
  Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
• AI Technologies
  :
  Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
• Cross-Functional Collaboration
  :
  Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
• Model Optimization
  :
  Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
• Data Pipeline Maintenance
  :
  Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.

• Experience
  : 5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
• Expertise in LLMs
  :
  Proven experience with Large Language Models (LLMs) and fine-tuning techniques.
• Education
  :
  Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
• Programming Proficiency
  :
  Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
• Technical Skills
  :
  Expertise in machine learning frameworks (e.g., scikit-learn, Tensor Flow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, Llama Index.
• Track Record
  :
  Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
• Collaboration
  :
  Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.

• Cutting-Edge Technology
  :
  Work with proven and high-performing large language models.
• Community Impact
  :
  Join a company that has strong traction within the open-source community and is building on proprietary data to develop specialized models.
• Scalable Infrastructure
  :
  Access to large compute resources to support ambitious AI research and development.
• Real-World Impact
  :
  Collaborate with anchor clients to develop proof-of-concept (POC) solutions and demonstrate tangible results.