Machine Learning Engineer – IntellusAI
Preferred Location: San Francisco Bay Area | Cutting-Edge Opportunity in AI, Agents & Systems Innovation
Are you excited to apply your ML expertise to real-world problems and shape the next generation of AI solutions? IntellusAI is looking for a Machine Learning Engineer to design, build, and optimize the models driving our transformative iSaaS (Intelligent Systems as a Service) platform.
We’re a StartX and Alchemist Accelerator-backed startup redefining how enterprises adopt AI—moving beyond static SaaS to dynamic, personalized intelligent systems. This is your chance to join a small, passionate team, working alongside founders with a track record of successful exits.
About IntellusAI
IntellusAI is pioneering adaptive AI solutions that empower businesses to unlock value, streamline operations, and thrive in an ever-evolving landscape. Our goal: to transform traditional software into intelligent, continuously learning systems.
Your Role
As our Machine Learning Engineer, you will:
- Model Development & Deployment: Research, design, and implement advanced ML models (e.g., LLMs, embeddings, recommendation systems) that solve complex problems.
- Data Infrastructure: Collaborate with engineering teams to build scalable data pipelines, ensuring robust, real-time data flows for training and inference.
- Performance Optimization: Continuously monitor and refine model accuracy, speed, and reliability to deliver best-in-class AI experiences.
- Cross-Functional Collaboration: Work closely with product, UX, and business teams to translate user needs into AI-driven features.
- Innovation & Experimentation: Stay on top of the latest AI/ML research, iterating rapidly on prototypes to push the boundaries of what’s possible.
Our Culture & Why Join Us
- Equity & Growth: Join on an equity-only compensation structure initially, securing a meaningful stake in the company’s future success.
- High-Impact Projects: Develop pioneering AI solutions with the potential to transform industries and organizations.
- Autonomy & Creativity: Enjoy a fast-paced, meritocratic environment where your ideas can quickly become reality.
- Learn from the Best: Collaborate with seasoned founders who’ve built and exited successful tech startups.
- Meaningful Work: Help companies harness AI for real business value, powering a new era of intelligent technologies.
- No Politics: Focus on building amazing products and AI solutions without corporate red tape.
What We’re Looking For
- Practical ML Expertise: 3+ years of experience developing production-grade ML systems, including familiarity with modern frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong Coding Skills: Proficiency in Python, Java, or similar languages, with a deep understanding of software engineering principles.
- Data Pipeline Knowledge: Experience with ETL processes, data wrangling, and integration with cloud services (AWS, GCP, or Azure).
- LLMs & NLP: Exposure to natural language processing, large language models, or embedding-based solutions is a strong plus.
- DevOps & MLOps: Comfort with containerization (Docker), CI/CD pipelines, and deployment orchestration (Kubernetes).
- Collaboration: Excellent communication skills, with a desire to work cross-functionally in an agile startup environment.
Minimum Requirements
- Bachelor’s or Master’s Degree in Computer Science, Data Science, or a related field (or equivalent practical experience).
- Hands-On Experience with model tuning, hyperparameter optimization, and performance evaluation.
- Proven Ability to quickly learn and adapt new technologies and tools.
- Strong Analytical Skills to interpret data and deliver data-driven insights.
Let’s Build the Future of Intelligent Systems—Together.
Ready to make your mark on the AI landscape and drive real-world impact through advanced ML solutions? We want to hear from you. Please send your resume, GitHub/LinkedIn profile, and a brief note about why you’re excited to join IntellusAI.
