At Alkymi, we’re creating products to give everyday business users the power to control the unstructured document data that fuels their business. We believe in giving the same professionals who manually handle document and email data today powerful tools to supercharge their workflows, while allowing them to seamlessly apply their human intelligence where it’s needed most. By doing this, we’re letting our users create a Data Action Layer to power products, deliver outcomes, and generate insights.
Founded in 2017 in New York City, Alkymi works with some of the world’s leading businesses and financial services firms to automate their highest-impact workflows by delivering an unparalleled product experience. We’re laser focused on understanding our customers’ workflows from top to bottom, and building easy-to-use, powerful, tools to meet their objectives. We combine cutting edge data science and machine learning with best-in-class software engineering to delight our users at some of the world’s most demanding and sophisticated businesses.
As we continue to scale, we're seeking a Machine Learning Engineer to join our core team.
About You:
- You're a driven, motivated leader. Be an important contributor to our best practices and engineering culture.
- You're an expert in writing Python code, developing Django web applications, and building Celery-based pipelines.
- You have familiarity with data science libraries like Pandas (or have a passion to learn!).
- Experience designing backend APIs and messaging queue-based architectures.
- JVM / Java / Kotlin experience is a plus. We have several microservices written in these languages.
- Interest in contributing to our DevOps tools and processes.
- BS in Computer Science, Engineering, etc
Your day-to-day:
- Collaborate with a cross-functional, technical team of frontend engineers, data scientists, and product managers to build the backend foundation of Alkymi.
- Work closely with the CTO to design and develop the architecture of the Alkymi platform.
- Establish best practices for backend and data engineering through guild meetings and developer documentation.
- Contribute to Python code written using the Django, Django Rest Framework (DRF) and Celery frameworks.
- Work with a modern tech stack and thoughtful DevOps processes. We use a GitOp-based development workflow with Continuous Integration through Kubernetes, Github, and CircleCI. Automated deployments to our staging environment and end-to-end tests are trigger on every merge across our repositories.
About us:
Alkymi is creating the data action layer by turning unstructured data into actions. Its product-first approach makes it easy for non-technical users to automate operational workflows for the first time. Leading organizations deploy Alkymi to accelerate decision-making, improve customer satisfaction and empower employees to focus on high-value, rewarding work.
Alkymi was founded in 2017 in New York City by a founding team from Bloomberg, Two Sigma, and x.ai with backing from Intel Capital, Canaan, Work-Bench, SimCorp, and industry insiders.
Salary Range: $160,000 - $190,000 annually + Equity + Fully Paid Company benefits + 401k + Unlimited PTO
The above compensation referenced represents the expected salary for this career opportunity and is based on Alkymi's good faith belief at the time of posting. Ultimately, in determining your compensation, we'll consider multiple factors including your geographic location, professional experience, market conditions and education/training/skill level.