Top Remote Jobs

Evaluate and improve the safety, security, and robustness of large language models. Responsibilities include designing jailbreak, prompt injection, adversarial, and tool-use abuse tests; developing regression suites and evaluation frameworks; identifying vulnerabilities; translating findings into safety recommendations; and documenting methodologies and results for technical and non-technical stakeholders.

Owns delivery of a technically rigorous reference scenario for hypothetical sunlight-reflection deployment. Defines scope, dependencies, workplans, audiences, and deliverables; ensures consistency across aerospace, monitoring, data assimilation, control, supply-chain, and cost workstreams; performs cross-domain analysis; manages external technical contracts and collaborations; coordinates reviews and public release; and connects scenario assumptions to experiment feasibility research.

Leads Helium 10’s global product management function across the United States and China. Owns roadmap development, innovation delivery, customer discovery, AI-native product development, and direct-to-consumer and omnichannel expansion. Manages product managers, drives cross-functional execution with engineering and design, partners on commercialization, and ensures initiatives deliver measurable business outcomes. Requires deep marketplace and SaaS expertise, strong customer discovery skills, analytical rigor, and experience launching net-new products.

Design, develop, debug, and optimize LustreFS across client, metadata, object storage, networking, and backend layers. Investigate customer and scale-related defects, perform root-cause analysis, improve reliability and performance, review code and designs, collaborate with QE and support, create diagnostics and documentation, and use AI-assisted tools to accelerate triage and engineering workflows.

Lead development of hybrid and native iOS and Android mobile applications, including Bluetooth Low Energy device integration. Guide engineering teams on architecture, code quality, Agile practices, testing, reusable components, and platform standards. Collaborate with architects and business teams on technical specifications, troubleshooting, project estimation, team screening, and delivery oversight across patient solution projects.

Leads corporate accounting operations, including general ledger integrity, multi-entity consolidations, intercompany accounting, debt and lease accounting, accounts payable, cash reconciliations, and monthly close. Oversees internal controls, audits, reporting support, process automation, ERP optimization, and accounting policy development. Manages and mentors the accounting team while partnering with Financial Reporting, FP&A, Tax, Project Accounting, and operational teams in a growing renewable energy organization.

Analyzes ground laboratory and flight-test data for avionics, sensors, radar, and electronic warfare systems. Develops Python-based data processing pipelines, correlates TSPI and telemetry, decodes avionics data buses, evaluates system performance, identifies anomalies, and produces verification metrics and formal test reports. Presents findings to test directors and acquisition leaders and supports readiness reviews and milestone decisions.

Lead the technical development of simulation infrastructure, vehicle and environment models, and integration with GNC, flight software, and automated testing systems. Define simulation architecture, milestones, V&V plans, and development priorities; coordinate team execution; and perform hands-on integration and performance optimization. The role supports SIL and HIL testing, vehicle dynamics modeling, fault injection, and simulation validation for lunar rover and planetary vehicle systems.

Lead the technical direction, development, evaluation, security, observability, and cost optimization of production LLM agent systems. Build shared agent infrastructure, improve reliability and fault tolerance, establish testing and rollout standards, and partner with engineering, product, research, and security teams. Mentor engineers, support AI coding-agent adoption, investigate incidents, and guide model selection and production readiness across teams.

Build and operate production-grade agentic AI systems for enterprise SaaS, including orchestration, MCP tools, memory, RAG, knowledge retrieval, security guardrails, evaluation, and observability. Own products from prototyping through production, make tradeoffs among accuracy, latency, reliability, and cost, support incident response, create reusable tooling, and mentor engineers. The role requires expert Python, cloud-native infrastructure, distributed systems, and hands-on LLM production experience.