5+ years of backend systems experience in a key ownership role
Proficiency with machine learning concepts and integration
Strong skills in Python and familiarity with cloud providers (GCP/AWS)
Experience with container technologies like Docker and Kubernetes
Knowledge of various database and storage systems (Postgres, SQL, S3/GCS, Redis)
Responsibilities
Build core systems for machine learning deployment and performance optimization
Drive technology and architectural decisions for core services
Design integration of ML inference and tax-related business logic
Develop database layers and manage data integration with external APIs
Collaborate on CI/CD systems to enhance team efficiency
Engage directly with accountants to refine product offerings
Operate autonomously to maximize value while navigating constraints
Benefits
Relocation costs covered for moving to San Francisco area
Commitment to a diverse and inclusive workplace
Equal opportunity employer policies
Full Job Description
Responsibilities
Build the core systems that deploy our machine learning capabilities both in training and production, build metrics systems for rapid iteration and introspection, and help improve the performance of both by using your judgement to optimize for evolving technical and product requirements.
Drive technology and architectural choices for Additive's core services that will enable us to rapidly build and iterate on user experiences that enable our customers to do their best work.
Design and build the integration of ML inference, monitoring systems, Large Language Model (LLM) interactions, application layers, and tax-related business logic into our core systems.
Build out database layers supporting business logic and applications within our systems and data integration strategy with external vendor APIs and interfaces.
Collaborate with the rest of the team on effective CI/CD systems that helps us all move faster.
Engage directly with accountants to understand their needs and how we can best build a product that they absolutely love.
Be expected to operate with autonomy and judgement to deliver tremendous value while working with both technical and market constraints.
Requirements
5+ years experience working on backend systems in a meaningful ownership role for what was built and why, ideally for systems with meaningful data or ML workloads.
Experience with ML concepts and integrating ML inference and monitoring capabilities into business applications.
Comfortable with Python, cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes, serverless platforms), and database and storage layers (e.g. Postgres, SQL, S3/GCS, Redis).
We're working fully in person 5 days per week in downtown San Francisco. Additive can cover relocation costs for moving to the San Francisco area.
