ML Engineer – AI-Powered Automation & Workflow Intelligence

• →Design and implement scalable, production-grade ML systems that serve as the intelligence layer of a flagship automation platform.
• →Lead the full lifecycle of ML development, from data ingestion to deployment, including experimentation, training, evaluation, and monitoring.
• →Develop innovative solutions involving large language models (LLMs), multimodal architectures (text, image, graph), and multilingual adaptation.
• →Build robust infrastructure for ML experimentation, model management, and deployment (MLOps).
• →Partner closely with product and engineering leaders to align machine learning solutions with high-value business challenges.
• →Establish reproducibility and performance standards while integrating research advancements into a practical, production setting.
• →Mentor incoming AI team members and contribute to shaping the engineering culture and technical vision.

• 8+ years in ML, Deep Learning, or Applied AI, ideally with experience taking models from prototype to production.
• Strong background in foundational ML concepts, deep learning frameworks (e.g., PyTorch, TensorFlow, JAX), and distributed training.
• Proven success working with LLMs, transformers, or comparable foundation models in applied contexts.
• Hands-on experience with data pipeline orchestration and ML tooling (e.g., Airflow, MLflow, SageMaker, Vertex AI).
• Proficiency in Python and experience developing scalable APIs or backend services in cloud environments.
• High ownership mindset with the agility and drive typical of startup environments.
• Advanced degree (MS or PhD) in Computer Science, Applied Mathematics, or a related field preferred.

• Practical exposure to multimodal ML (e.g., combining NLP with vision or graph data).
• Familiarity with ontologies, taxonomies, or structured semantic modeling.
• Experience with multilingual NLP models or internationalization of AI systems.
• Background in high-growth startups or early-stage technical leadership.

• Shape the core AI systems of a product with tangible, enterprise-scale impact.
• Join a small, high-caliber team solving some of the most sophisticated automation challenges in the industry.
• Own key technical decisions and help shape a culture of engineering excellence.
• Competitive compensation package with significant equity upside.
• Collaborate in-person in the Bay Area while building globally scalable tech.

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