Design, implement and refine models that turn multi-modal data into production solutions across a wide range of industries and business problems.
Locations (2)
Santiago
Sao Paulo
Responsibilities
Build, test, and refine machine learning and analytical models that power production systems across a range of problem types, such as pricing and personalization engines, demand forecasting, and predictive maintenance, taking them from exploration and feature engineering through validation and deployment
Work with client data engineering and analytics teams to acquire, extract, and prepare data for modeling at scale, including cleaning, enriching, de-duping, and joining structured, semi-structured, and unstructured data
Partner with consulting teams to translate client business problems into analytical approaches and help scope the work
Use AI tools with guardrails to accelerate your work, from exploration and prototyping through implementation
Apply generative AI where it offers a better path to a client solution, using techniques such as prompt engineering and retrieval-augmented generation
Requirements
Advanced degree in Data Science, Computer Science, Mathematics, Engineering, Econometrics, Statistics or Information Sciences
Nice to have: Transformer-based models
Nice to have: Foundation models for text, sequence, or time-series data
As a Threat Research Engineer, you’ll take ideas from the first question to a working proof of concept, deploy it, and analyze the results yourself. This is a full-stack role, with AI central to how we work.
Locations (3)
Israel
Poland
United Kingdom
Compensation
Poland base salary range: 272,000 - 408,000 PLN
Responsibilities
Research new attack surfaces and threat vectors, including AI coding agents, agent plugins, and package ecosystems.
Find and responsibly disclose vulnerabilities in open source projects and developer tools.
Analyze software supply chain incidents and events.
Build AI-powered workflows and agents that automate research, analysis, and detection.
Build and maintain the cloud-based systems behind our detection and advisory work.
JMP 2027 Summer Internship; C++ Software Development
Internship in C++ Software Development for the Interactive HTML team at JMP, focusing on bringing interactive graphical displays to the web.
Compensation
Hourly rates for SAS internships are based on an applicant’s year in school and the role they are hired into. Rates range from $15 to $30 per hour for associate and bachelor’s-level positions and from $29 to $49 per hour for master’s and Ph.D positions. Internship roles are not eligible for bonuses.
Responsibilities
Extend the number of interactive graphics that JMP users can publish to the web
Enhance existing web-based interactive graphs
Learn and apply software engineering techniques to ensure quality
Create examples that demonstrate the utility of the new functionality
Lead the global engineering organization, define strategy, drive product development, and manage multidisciplinary teams.
Compensation
The base salary range for this full-time position is $300K to $350K. Our total compensation package includes base salary, bonus eligibility, and equity.
Responsibilities
Define and execute engineering strategy
Drive technology innovation and product architecture
Lead end-to-end product development lifecycle
Strengthen collaboration across engineering, product, manufacturing, quality, supply chain, and commercial teams
Establish engineering milestones and performance metrics
Requirements
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical discipline
Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical discipline
Nice to have: Experience in analytical instrumentation
Build tools that help engineers develop, understand, and diagnose complex software systems.
Compensation
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.
Responsibilities
Design, build, and maintain engineering tools that help developers understand and diagnose complex software systems.
Build tooling that brings together logs, telemetry, events, faults, diagnostics, and system state to make system behaviour easier to investigate.
Build C++ and Python applications, libraries, services, and integrations that interact with complex onboard and distributed software systems.
Create tools that correlate information across software components, processes, and machines to help engineers understand what happened and where to investigate.
Build user interfaces and interactive visualisations using React and modern web technologies to explore system behaviour and engineering data.
Bright Vision Technologies is seeking a SDET to improve software quality through structured testing, automation, defect analysis, and release validation.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Review requirements and identify test conditions, acceptance criteria, and release risks.
Design and execute functional, integration, regression, API, mobile, or non-functional test scenarios.
Develop and maintain reusable automated tests or test frameworks where applicable.
Record defects with reproducible evidence, validate fixes, and communicate test status.
Work with engineers and product teams to improve coverage, testability, and release confidence.
Design, build and deploy AI-powered applications to support M&A and transaction advisory.
Responsibilities
Partner with deal teams to identify high-impact AI opportunities
Design, build and deploy AI-powered applications using large language models, retrieval-augmented generation, agentic workflows and modern AI engineering practices
Deliver prototypes and shipping working solutions within tight deal timescales
Collaborate directly with clients and engagement teams to adapt solutions to transaction-specific needs
Integrate AI solutions with internal and external data sources, APIs and business workflows
Requirements
Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field