ProductNow · 3 months ago
Machine Learning Engineer
Palo Alto
Full-time
Hybrid
New Grad, Entry LevelProductNow is building the operating system for AI-native teams, focusing on improving execution and collaboration through innovative technology. The Machine Learning Engineer role involves exploring and implementing state-of-the-art AI models and machine learning techniques to enhance product features while collaborating with cross-functional teams.
Software
No H1B
Responsibilities
Explore and experiment with state-of-the-art AI models and machine learning techniques, contributing to core product features powered by ML
Own projects end-to-end – from understanding problem requirements and designing experiments to building prototypes, iterating, and helping bring them into production
Collaborate with product, design, and engineering teams to translate user needs into ML-powered solutions
Dive deep into data, building an understanding of how to measure model performance and improve real-world outcomes
Stay curious and up to date with emerging ML research, applying learnings to improve our product and stack
Contribute to a culture of rapid experimentation, balancing scrappy prototypes with thoughtful iteration
Learn from senior engineers, while taking initiative to independently explore new approaches and technologies
Bring a strong ownership mentality – driving projects forward, unblocking yourself, and pushing ideas from concept to execution
Qualification
Required
1+ internship or project-based experiences in ML, applied AI, or data science
Familiarity with Python, ML frameworks (such as PyTorch or TensorFlow), and basic data processing workflows
Excited to see how ML can directly improve user-facing experiences, not just research for its own sake
Hungry to take responsibility, follow through on projects, and grow into increasing levels of independence
Eager to deepen your expertise in ML techniques, model deployment, and AI systems while building real-world products
Comfortable working closely with engineers, PMs, and designers to co-create solutions
Thrives in a fast-paced environment with shifting priorities, and welcomes feedback as a way to accelerate growth
Values diversity of thought, seeks input from others, and contributes to a supportive, collaborative team culture
Bachelor's degree in a related field, or equivalent practical experience
Preferred
Exposure to large language models or generative AI
Benefits
Competitive compensation
Meaningful ownership
Deep opportunities for growth
Plenty of moments for connection and bonding
Company
ProductNow
Product, at the speed of AI
Founded in 2025
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$6MKey Investors
Sierra Ventures
2025-07-15Seed· $6M
Company data provided by crunchbase