
Join the Larridin Team
Want to make a real difference in the future of work? Join Larridin in the Bay Area! We're building the next generation of workplace productivity solutions using AI, and we're looking for talented technical team members to join our mission. If you're passionate about innovation and collaboration, fill out the form below to explore opportunities.
We are Committed to
Innovation
Pioneering groundbreaking solutions that redefine industry standards.
Ambition
Relentlessly pursuing excellence to drive global business transformation.
Collaboration
Uniting diverse talents to tackle complex challenges and achieve shared goals.
Featured Open Roles
We're building a world-class team at Larridin and are currently seeking talented individuals for a variety of roles, including Full Stack Engineers, AI Developers, Forward Deployed Engineers, Product Management & Design, Data Scientists, GTM team members, Customer Delivery, and Technical Account Management.
Bring your vision and expertise to Larridin, and together, we'll lead the charge in reshaping the world of work.
Sr. AI/ML Engineer
Location: Bay Area (In-Office Preferred) |
Company: Larridin |
Type: Full-time |
About the Role
Larridin is seeking a Senior AI/ML Engineer to build and scale AI-driven solutions that proactively optimize workforce performance. You will play a pivotal role in designing, training, and deploying advanced machine learning models that power our Workplace Intelligence platform —a next-generation AI system designed to benchmark workforce efficiency and provide actionable insights.
Responsibilities
- Architect, train, and deploy ML models to analyze workforce performance and optimize decision-making.
- Develop and implement RAG based solutions, fine tune frontier LLM models.
- Collaborate closely with product and engineering teams to integrate AI solutions into our platform.
- Optimize model performance and scalability to handle enterprise-scale datasets.
- Stay ahead of advancements in LLMs, embeddings, and AI inference to continuously enhance our AI capabilities.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong foundation in deep learning, NLP, and predictive modeling.
- Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Experience with LLMs, embeddings, and vector databases.
- Strong understanding of MLOps, model deployment, and scalable AI architectures.
- Experience working with large-scale datasets and implementing data pipelines.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker,v Kubernetes).
- Passion for building AI-powered products that drive real business impact.
Nice to Have
- Background in knowledge graphs, reinforcement learning (RLHF), or AI-driven automation.