Udacity (an Accenture company) is hiring external contractors as technical mentors for Claude/Anthropic AI topics. The role is remote across multiple timezones and requires 5+ years of relevant technical experience and expertise in the Claude ecosystem (Claude API, Claude Code, Claude Agent SDK, MCP), agentic AI, prompt/context engineering, Python, REST/JSON, system architecture, CI/CD, SQL and production AI workflows. Responsibilities include 1:1 mentoring calls, technical deep-dive sessions, and group Q&A. US applicants must have work authorization that does not require visa sponsorship.

Senior/Staff backend role responsible for designing, implementing, testing, and operating services for context ingestion, indexing, retrieval APIs, and agent-facing integrations for an AI-native data intelligence system. Requires experience with LLMs/GenAI, cloud-native environments (e.g., AWS/GCP/Azure), observability practices, and building production-grade multi-tenant SaaS systems. Canada base compensation range listed (CAD 186,368–223,642).

Senior Staff (P5) Data Scientist role at Mozilla: partner with senior executives to deliver rigorous, data-driven recommendations, design analytical solutions for complex large-scale data problems, set technical standards, and mentor data scientists. Required strengths include Python or R, SQL, statistics, strong communication, and cross-functional influence. Position is remote with listings for Canada and the United States.

Quora is hiring a new-graduate Machine Learning Engineer to build and iterate on consumer-facing AI features using large language models and related generative systems. Responsibilities include model development, experimentation (A/B tests, offline evaluation), productionization, monitoring and reliability, and optimizing latency, cost, and scalability. The role is remote and available to candidates in the United States and Canada; strong written English and a degree in a technical field (2024–2026 graduates) are required.

Join GitLab's Agent Observability team to develop, ship, and maintain backend features for agent interactions and observability across the GitLab monolith and AI gateway. Work with Ruby on Rails (APIs, background jobs, data models), design GraphQL/REST APIs, improve automated tests (RSpec), collaborate across product, frontend, and AI teams, and participate in Tier 2 on-call rotations.

Remote (Canada) senior Research Engineer on STRIKE responsible for owning the research-to-production pipeline: building detection content (YARA, Sigma, STIX), platform components (distribution servers, sandbox orchestration, ingestion), schema and standards adoption (STIX 2.1, TAXII 2.1), and production LLM integrations with retrieval and eval harnesses. Requires 5+ years hands-on engineering experience with threat intelligence or detection engineering, production Python and TypeScript/Node development, cloud (AWS), data pipelines, and practical experience with STIX/TAXII/MISP and detection tooling. SecurityScorecard does not provide immigration sponsorship for this position.

Senior/staff individual contributor responsible for defining and driving the technical roadmap for ClickUp's data platform, building scalable data pipelines and infrastructure (AWS serverless, Snowflake, dbt), designing systems for AI/ML workloads (feature stores, training/embedding pipelines, model serving), enforcing engineering standards (observability, CI/CD, testing), optimizing cloud cost, and mentoring senior engineers.

Lead development and architecture of a cross-platform, high-performance endpoint AI framework for the Falcon sensor, working with data scientists, security researchers, and endpoint engineering. Responsibilities include designing model interfaces, optimizing resource utilization for low agent overhead, defining testing approaches (efficacy, regression, performance), and leveraging hardware acceleration (NPU/GPU). Role is hybrid based in Toronto, Canada; Canadian-based employment with a listed base salary range of CAD 175,000–250,000 per year.

Grafana Labs is hiring a Staff AI Engineer (remote, applicants in Canada only) to develop, prototype, and ship AI- and LLM-powered observability features and agentic workflows. The role emphasizes production software delivery, experimentation, collaboration with cross-functional teams, and experience with cloud-native environments, observability tools, and LLM/GenAI technologies.

Senior engineering role owning the technical evolution of Acquia DAM's AI capabilities: architect and implement stateful, multi-agent (agentic) workflows, lead AI observability and prompt/version management, integrate DAM with Acquia's AI ecosystem, and mentor engineers. Requires 8+ years software engineering experience and 3+ years production experience with AI agents plus hands-on experience with LangGraph, Temporal, Pydantic, LangFuse, and cloud AI deployment.

Grafana Labs seeks a Senior Engineer (AI & Automation) to own AI agent infrastructure and an automation platform for Marketing Operations. Responsibilities include building multi-agent architectures, LLM integrations, backend services, RAG/data flows, and observability; partnering with RevOps and GTM teams to deliver self-service automation. Requires 8+ years software engineering experience and 2+ years applying LLMs in production. Base salary range in Canada: CAD 164,490–197,389 per year.

Hopper seeks a Lead for Finance Analytics & Enablement AI/ML to drive data warehouse strategy, business intelligence, finance AI automation and GCP cost optimization. The role reports to the CFO, manages 5 direct reports (4 engineers and 1 finance/strategy manager), establishes data governance and audit controls, and partners with FP&A, accounting, engineering and FinOps. Required: 15+ years in travel and/or SaaS, bachelor's (master's preferred), hands-on SQL/Python/GCP/data science experience, familiarity with LLMs, prompt design and observability tools (Looker, Datadog, Amplitude).

Hopper is hiring a Lead, Finance Analytics & Enablement AI/ML to own finance data warehouse strategy, BI/reporting, GCP cost optimization, finance AI automation, data pipelines, and governance. The role manages a team (4 engineers, 1 finance/strategy manager), partners with FP&A and accounting, supports audits and internal controls, and reports to the CFO. Required technical skills noted include SQL, Python, GCP, and data science; familiarity with LLMs, prompt design, Looker, Amplitude and Datadog is described as relevant.

Granicus is hiring a Principal Engineer, AI Security to lead design and implementation of scalable AI security controls and guardrails, modernize the SDLC for AI, advance AI-enabled cyber defense, prototype and build integrations, and advise across security and engineering. Requires 10+ years in security-related engineering and deep familiarity with LLMs, agents, adversarial AI, cloud-native architectures, CI/CD, and security automation. Remote-first role with a US-based salary range of USD 150,600–187,400/year.

Role to profile and optimize end-to-end neural reconstruction and Gaussian Splatting workflows on GPUs, addressing data loading, training, rendering, and multi-GPU execution; convert Python/PyTorch bottlenecks into efficient CUDA/C++ or native implementations; and build benchmarks and regression tests. Requires 12+ years experience and strong skills in Python, C++, CUDA, PyTorch, and GPU profiling tools.

Hands-on lead role responsible for driving proof-of-concept ML engagements with enterprise and financial customers, building production-ready fraud/risk models, mentoring data scientists, partnering with Engineering/Product/GTM, and measuring outcomes. Requires 10+ years in fraud/risk data science, 3+ years managing direct reports, and strong Python/SQL skills.

Lead technical authority on relevance metrics and evaluation for Reddit Consumer (feeds and search). Responsibilities include designing metrics frameworks, offline and counterfactual evaluation, designing and analyzing experiments accounting for network/platform effects, partnering with ML engineers and product teams, and mentoring other data scientists. Requires Ph.D. with 8+ years industry experience (or M.S. with 12+ years) and expertise in causal inference, experimentation, ranking/recommendation systems, and strong SQL/R/Python skills.

Lead engineering and evolution of Precisely AI Studio—marketplace UI, agent execution, and MCP integration. Hands-on full-stack work (Next.js, React, TypeScript, Python/Flask, Express, MongoDB, AWS Bedrock) plus mentorship of a small development team. Partner with product and enterprise customers to design reusable AI assets, translate use cases into agent workflows, and expand integrations across LLM ecosystems (OpenAI, Anthropic Claude). Requires 7+ years' experience and at least 2 years in a tech lead role.

CrowdStrike seeks a Principal Data Engineer for its Data Science Platform Engineering team to design, implement, and operate scalable, fault-tolerant data platforms and pipelines for LLMs, RAG, and agentic systems. The role requires deep hands-on experience with LLM engineering, distributed data processing, cloud data services, containerization, streaming, MLOps/DataOps practices, and mentoring/technical leadership. The posting specifies a minimum of 10+ years in data/platform engineering and provides U.S. and Canadian base salary ranges.

Senior Data Science Manager for Marketing (remote, Ontario) to build and lead a team focused on data foundations, causal measurement, and decision-making insights. Responsibilities include developing incremental/predictive LTV models, experimental and causal measurement frameworks, overseeing ETLs and dashboards, and driving adoption of data-driven recommendations. Requires ~5+ years of leadership experience, expertise in causal inference, experimentation, metric governance, and hands-on skills in SQL and Python/R.