Algorithm Engineer
Augury
Our mission is to provide manufacturers and other industrial sectors with insights into the health of machines, processes, and operations to transform how people work and what they can create. A leader in Machine Health and Process Health solutions, Augury uses purpose-built AI technology, trained by industry experts and the world’s largest data library, to help companies realize the full potential of their production. Together with our customers, we are pioneering Production Health by removing friction created by competing business goals so companies can improve business outcomes, empower their workforce, and achieve sustainable production- all at the same time.
About The Position
As Augury’s Algorithm Engineer, you’ll be at the intersection of advanced technology and meaningful impact with clear business cases. With the freedom to innovate, the opportunity to grow and learn, and the chance to help shape the future of manufacturing. As part of the algorithmic team at Augury, you will have the opportunity to build and deploy algorithms directly into our products, witnessing firsthand how your models impact our customers in manufacturing.
A Day In Your Life
- Own the algorithm lifecycle: From problem definition and data analysis to prototyping and delivering production-ready solutions.
- Digital signal processing (DSP): Develop algorithms and infrastructure to manipulate and analyze digital signals. Extract unique features and evaluate their impact.
- Drive innovation: Utilize state-of-the-art algorithms and infrastructures, combined with advanced research, to enhance our algorithms' performance and, in turn, achieve real-world impact.
- Lead new opportunities: Research and understand blind spots in our coverage, new types of processes, and other unsolved challenges in manufacturing. Analyze data from various sensor types. Build the technological solutions-including algorithms, data pipelines, and hardware requirements.
- Leverage modern technologies: Work with cloud-based big data platforms for storage, distributed processing, and stream analysis (e.g., metaflow, outerbounds, Azure)
What You Bring
- BSc, M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
- 5+ years of experience in signal processing and algorithm design.
- Proficiency in Python for model development, deployment, and monitoring.
- Experience working with time-series data.
- Experience in anomaly detection, AI, ML is an advantage.
- Experience within the industrial sector is an advantage.
- The ability to translate research into scalable, production-ready solutions.
- The skill to define technological opportunities and assess risks.
- Own a “yes we can” mentality.
- Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning.
- The ability to collaborate with diverse, cross-functional groups, including product managers, hardware engineers, customers, and AI and data engineering teams.
Perks
- Stock options
- Paid parental leave
- Flex PTO
Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees.
Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.