Analyze and translate business needs to create product requirements, develop strategies to expand customer base and enhance market presence on the Canton Blockchain.
Locations (3)
Chicago, Illinois, United States
London, England, United Kingdom
Singapore, Singapore
Compensation
The annual base salary range for this position is $125,000 to $200,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
Gather and analyze information across multiple data sources to arrive at actionable recommendations across many different areas of business, including operations, and technology
Assist BD and management to execute on strategic growth opportunities, including economic model design and evaluation for strategic partnerships
We are seeking a Network Engineer to help lead network projects at the firm. Reporting into the Systems Infrastructure Team, this individual will serve as a primary driver of network engineering initiatives including counterparty integrations, new office buildouts, and ongoing network projects.
Compensation
The base salary for this role is anticipated to be $200,000–$250,000, excluding potential bonuses, additional compensation, and benefits.
Responsibilities
Lead network projects at the firm, including counterparty integrations, new office buildouts, and ongoing network initiatives
Design, implement, operate, and support network infrastructure across all layers of the environment
Manage routing, switching, and firewall systems
Support and expand cloud networking capabilities, particularly within AWS
Develop and maintain scripting and automation solutions to improve operational efficiency
Shape the future of AI/ML hardware acceleration by driving cutting-edge TPU technology for Google's most demanding AI/ML applications, focusing on SoC-level RTL design for data center accelerators.
Build and maintain data pipelines, Airflow DAGs, and shared datasets for the User Safety & Risk Operations team, ensuring data quality, documentation, and operational support.
Responsibilities
Build, maintain, and monitor production data pipelines and Airflow DAGs
Build and maintain reusable data models, reporting cubes, and shared operational reporting metrics
Set up data quality and freshness checks, document lineage and ownership
Document data sources and transformations
Apply access and privacy requirements when designing datasets and reporting
Requirements
Nice to have: Airflow or similar workflow orchestration tools
Nice to have: experience transferring prototypes or new workflows into reliable, scaled operations
Design, build, and operate shared ML infrastructure and lead large-scale distributed systems for Block’s Machine Learning Platform team.
Compensation
Zone A: $228,700—$343,100 USD
Responsibilities
Design, build, and operate shared ML infrastructure, including feature stores, rules engines, model hosting and inference, training infrastructure, and offline model evaluation.
Lead the design and delivery of large-scale distributed systems, balancing response time, throughput, data consistency, availability, and cost.
Work with applied machine learning teams and internal customers to understand their challenges, identify common needs, and turn them into reusable platform capabilities.
Build reliable services through automated testing, monitoring, capacity planning and safe deployments.
Participate in the oncall rotation for mission-critical systems, lead incident response and reviews, and fix underlying causes to prevent repeat incidents and reduce manual support work.
Site Reliability Engineer to join the Platform team, ensuring the reliability, availability, and security of Beacon's cloud infrastructure supporting large-scale machine learning on terabytes of biosignal data.
Locations (3)
Boston, Massachusetts, United States
New York, New York, United States
Paris, Île-de-France, France
Compensation
The base salary range for this role is $170,000 – $190,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits.
Responsibilities
Design and implement infrastructure as code solutions that improve reliability, security, and maintainability of our cloud infrastructure
Lead and execute major infrastructure initiatives including cluster upgrades, security improvements, and architectural changes
Member of Technical Staff (Software Engineer, Cybersecurity Products)
Build cybersecurity products from zero to one across domains such as application security, penetration testing and offensive security, cloud security, and detection and response.
Responsibilities
Build security products from zero to one across domains such as application security, penetration testing and offensive security, cloud security, and detection and response.
Build agents that do real security work: review code and find vulnerabilities, test applications and infrastructure like an attacker, assess cloud configurations, and investigate threats, then validate findings and recommend or apply fixes.
Build the systems underneath: multi-tenant services, data pipelines, and secure execution environments that run against customer code, cloud accounts, and telemetry.
Build integrations with the tools customers already use: source control and CI/CD, cloud providers, identity providers, security tools, ticketing, and chat.
Ship the product surfaces customers use: APIs, dashboards, onboarding, and workflows that fit how security and engineering teams actually work.
Lead technical direction for production systems in Overjet’s dental AI platform, driving architecture, reliability, and tooling across engineering, product, and ML teams.
Compensation
Competitive Compensation and Equity
Responsibilities
Drive technical decisions for long-term system architecture
Ensure reliability and correctness of production software
Build tooling and automation to reduce engineering toil
Mentor senior engineers and raise technical standards
Align with Product, ML, and engineering leadership on build priorities
Requirements
Bachelor’s degree in Computer Science or related field
Work cross-functionally to understand feasibility of new business initiatives and design processes to support
Work closely with product managers and engineers to design, develop and deliver best-in-class technology solutions that deliver meaningful business value
Conduct market research and gather user feedback to identify user needs, market trends, and competitive landscape
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