Senior Machine Learning Engineer

Summary

Join Vivun, a leading provider of AI-powered technical sales solutions, as a Senior Machine Learning Engineer. You will play a crucial role in designing, developing, and evolving AI/ML solutions integral to Vivun's mission. This involves building and scaling AI-driven solutions for Ava, Vivun's AI Sales Engineer, to understand customer needs and accelerate deals. You will collaborate with cross-functional teams, work with LLMs and RAG pipelines, and ensure the quality and scalability of machine learning systems. This high-impact role requires a strong background in AI/ML, experience with various technologies, and a passion for innovation. Vivun offers a competitive salary, full health benefits, stock options, flexible work schedules, unlimited PTO, and a supportive team environment.

Requirements

• 7+ years of experience building, deploying, and operating reliable data and ML systems in production environments
• BS/MS/PhD in Computer Science, Data Science, Engineering, or a related field
• Strong proficiency in writing maintainable, production-quality Python code
• Deep knowledge of AI/ML algorithms, including clustering, supervised/unsupervised learning, natural language processing (NLP), and large language models (LLMs)
• Extensive hands-on experience writing SQL and working with databases
• Experience with AI/ML observability, monitoring, and evaluation frameworks
• Advanced understanding of CI/CD pipelines (CircleCI, Harness) and API development best practices with FastAPI

Responsibilities

• Design and develop LLM-powered AI solutions that incorporate RAG, tool calling, structured outputs, as well as knowledge and memory management
• Oversee the deployment and monitoring of machine learning systems in production environments
• Optimize and scale inference for both real-time and batch processing, ensuring low-latency and cost-efficient AI execution
• Evaluate models/agents, both offline and online, as well as implement and maintain production observability tools
• Build and contribute to scalable data and ML infrastructure
• Collaborate with cross-functional teams to align AI development with business needs
• Be adaptable and comfortable with the ambiguity of working in a highly dynamic agentic/LLM development space, evaluating emerging technologies and methodologies to continuously enhance system performance
• Ensure adherence to security standards and data governance best practices

Preferred Qualifications

• LangChain, LangGraph, scikit-learn, XGBoost, Transformers, FastAPI, Celery, Pydantic
• Postgres, Snowflake, Redis, Kafka, Vector databases
• Docker, Kubernetes, OpenTelemetry, AWS, RDS, SageMaker

Benefits

• Competitive salary and full health benefits
• Stock Options at a well funded, pre-IPO company on a fast growth track
• Flexible work schedules and work from anywhere at a fully remote company
• Unlimited PTO with two weeks designated as “quiet period” each year
• An experienced team who will fight beside you in the trenches to accomplish your goals
• $160,000 - $185,000 a year