Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. The Measurement Machine Learning teams within GTM (go-to-market) organization are instrumental in the development of cutting-edge ML models and algorithms, providing invaluable insights for guiding strategic investment decisions.

Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.

Our global benefits package includes: Healthcare coverage, Retirement Plans, Employee Stock Purchase Program, Meal reimbursements, Wellness perks, Paid parental leave, Flexible time off, Learning and Development resources.

We are looking for engineers who are enthusiastic about data streaming, and are as passionate about contributing to open source as they are about solving real customers' business needs, at AWS scale.

Learning and Development resources. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Expertise in Python, PyTorch, and open-source data processing and visualization packages, collaborative development skills using readable, reproducible, efficient code and version control systems (e.g. Git), familiarity with Unix shell and use of virtualized working environments (e.g. Docker.

As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.

Lead the transformation of a peta-byte scale batch-based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.

Experience in data modeling, ETL development, and Data warehousing. We re looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company s DTCI group as a Data Analyst in Data Platform and Analytics team.

With a focus on long term maintainability and quality this position will be expected to maintain UCSF's customizations, contribute to the open-source Moodle ecosystem, and develop long term technical strategy with the goal of ensuring inclusive, streamlined and transformative teaching and learning experiences for users across all areas of the education mission.

You will work with Engineers leveraging third-party or open source, to build in-house Machine Learning tools & infrastructure - which will help develop reusable, high-performing Machine Learning systems, and enable fast model development, low-latency serving, and ease of model quality maintenance.

The platform will support a variety of services based on open-source software, such as Kubernetes, Cassandra, Zookeeper, Kafka, Redis, etc, alongside internally developed services. Experience with development within Kubernetes ecosystem, including operator framework, controllers and CRDs.

Familiarity with source code management (Git, GitHub, GitLab) and CI/CD (GitLab CI, Jenkins, Drone, Azure DevOps). 2+ years of experience with security preventative and detective controls such as endpoint protection, firewall policies, vulnerability management, SIEM, Microsoft Defender suite.

As Senior Manager, Software Development within the New Glenn Engineering Data Systems & Architecture team, you support, develop, and guide a highly productive and trusted software development team.

Experience with DevOps and CI/CD pipeline conformance and maintenance (AWS, Docker, Kubernetes, Jenkins, Maven) Experience with Software Development. Our Principal Engineers operate at the intersection between Enterprise Software Development and tactically focused development teams embedded within our business units.