Software Engineering Intern builds infrastructure for large-scale distributed simulation systems including biological and 3D physics environments. Works on C++ high-performance systems, networking, orchestration, and performance optimization with strong fundamentals required.

Research Engineer builds ML infrastructure and agentic systems to accelerate scientific discovery in biology, neuroscience, and more. Requires 2+ years experience with Python, PyTorch/JAX/TF, cloud resources, and deep learning for LLM/agent research at Ai2.

Drives new enterprise business by prospecting, pitching, demoing, and closing Perplexity's AI solutions while building senior-level relationships. Requires 5+ years full-cycle SaaS sales experience, proven quota attainment, and CRM proficiency.

Defines and maintains policies for AI model behavior in high-risk domains like agentic systems and user safety. Collaborates with research, engineering, and product teams to operationalize policies into measurable safeguards using empirical data and red-teaming.

Owns full-cycle sales to mid-market SaaS companies in edtech, HR tech, fintech verticals, sourcing 25% of pipeline via outbound and closing deals. Requires 5+ years B2B SaaS sales quota attainment, strong discovery, CRM hygiene, and process discipline.

Leads evolution of OpenAI's core experimentation platform, driving statistical strategy, designing methodologies, and building scalable Python/Spark pipelines to ensure reliable, trustworthy experiments at massive scale. Requires deep stats expertise, causal inference, and production experimentation experience.

Designs, optimizes, and scales a distributed database storage layer for AI observability using Rust. Engineers performant ingestion/query code, integrates with cloud storage, deploys on Kubernetes, and profiles for cost/speed. Requires 5+ years systems/database experience, Rust proficiency.

This internship focuses on designing, training, and deploying large-scale machine learning models, exploring learning strategies, and partnering with product teams. Candidates should be enrolled students with Python and ML framework proficiency, distributed training experience, and familiarity with Transformer-based models.

Owns full sales cycle for net-new business opportunities in Minneapolis territory targeting real estate partners, using consultative selling, CRM management, and cross-functional collaboration. Requires 8+ years B2B sales experience with proven quota attainment.

Designs, builds, and maintains LLM-based AI systems, data pipelines, and automation tools to transform business processes. Requires 6+ years software engineering with 2+ years AI/LLM production experience, strong Python, and data engineering skills.

Leads team building scalable ML infrastructure, MLOps pipelines, and data systems for computer vision, agentic AI, LLMs/VLMs. Requires 10+ years ML engineering, 5+ years leadership, MS/PhD, expertise in Spark, Kafka, deep learning frameworks.

Build and manage data pipelines for people analytics and internal products like OpenHouse at OpenAI's People Innovation Labs. Collaborate with analytics and engineering teams using Databricks, Spark, and ETL tools; requires 3+ years data engineering experience.

Operates Lovable’s app runtime, deployment pipeline, and managed infrastructure services, with responsibility for reliability, vendor migrations, custom domains, and operational excellence. The role seeks an experienced platform, SRE, or infrastructure engineer with distributed-systems expertise and an uptime-focused mindset.

Develops and advances complex enterprise opportunities in partnership with Account Directors, using outbound strategy, discovery, stakeholder mapping, and AI-enabled GTM workflows. Requires 4+ years of enterprise sales or strategic customer-facing experience and strong executive communication skills.

Designs and curates simulation test scenarios for mining autonomy, defines safety/comfort requirements, creates performance reports, and collaborates with product/engineering teams. Requires bachelor's degree and AV simulation experience; Python a plus.

Drives the full sales lifecycle for Hivemind autonomy solutions across UAE defense and government accounts, from opportunity shaping through close. Requires 10–15+ years in complex technical sales or capture, a proven UAE defense track record, Arabic and English fluency, and a bachelor’s degree.

Builds and maintains ML training and inference infrastructure, scales distributed workloads across GPU clusters, and develops tooling for observability and fast iteration. Requires strong Python, systems engineering, Kubernetes, and distributed training experience.

Prospects and qualifies sales opportunities in robotics and automotive sectors, driving pipeline through outbound efforts, relationship building, and event coordination. Requires 1-3 years sales experience, strong communication, and tools like Salesforce and Outreach.

Build and scale distributed pipelines that ingest, curate, filter, and prepare large-scale video and multimodal datasets for model training. The role requires Python, distributed processing, orchestration, containers, cloud infrastructure, and experience with VLM-based captioning or data-quality workflows.

Conducts foundational and post-training research for large-scale video generation models while building scalable multimodal data pipelines. The role requires hands-on experience with distributed ML systems, distillation, reward modeling, preference-based fine-tuning, and Python-based deep learning frameworks.

AI-native Product Manager owning consumer product areas like discovery, feed, and retention. Requires 2+ years PM experience, strong data analytics, and daily AI tool usage to ship fast in an early-stage startup.

Designs and builds integrations, automations, and AI agent workflows to streamline Finance, Accounting, People Ops, and Recruiting processes. Requires 5+ years in system integrations, iPaaS platforms like Workato, and experience with HR/Finance tools like NetSuite and Greenhouse.

Designs, builds, and optimizes power infrastructure including battery storage, high-voltage transmission, and on-site generation for xAI's AI supercomputing facilities. Collaborates cross-functionally to ensure reliability and compliance for massive-scale data centers.

Owns go-to-market strategy for Dataiku's Analytics and MLOps products, including positioning, launches, competitive intelligence, and sales enablement. Requires 4-6 years B2B PMM experience in analytics/BI/ML with technical fluency.

Owns Glean Model Hub as PM: evaluates LLMs, defines portfolio roadmap, manages provider relationships, drives customer enablement and adoption of AI capabilities. Requires 4+ years PM experience in enterprise SaaS with AI/ML ops focus and strong technical background.

Product Manager leading development of agent security, governance, and AI risk prevention features. Collaborates with customers, design, and engineering to build roadmap for explainable AI, observability, and privacy in enterprise Work AI platform. Requires 8+ years PM experience in security/governance for large SaaS enterprises.

Builds enterprise-grade AI agents for insurance customers by collaborating with CTO, translating customer needs into production solutions, and implementing cutting-edge AI capabilities. Requires 3+ years consumer-facing engineering with strong Python backend experience.

Coordinates candidate interviews, manages logistics, and maintains data integrity in Greenhouse ATS for a fast-paced AI startup. Requires strong organization, communication, and adaptability in a high-urgency recruiting environment.

Owns full-cycle recruiting for technical roles at xAI, partnering with leaders to source, assess, and close top talent in competitive markets. Requires 5+ years recruiting technical hires in hyper-growth settings with strong analytical and communication skills.

Leads growth initiatives for AI inference products, running experiments on onboarding, pricing, and messaging to boost activation, retention, and viral loops for developer users. Requires 5+ years PM experience, strong analytics, and AI/ML curiosity.

Builds product for AI agent memory and context layer, focusing on backend systems, developer SDKs/APIs, integrations with tools like Slack/Notion, and agent primitives. Requires 3+ years backend/fullstack experience, Python/TypeScript fluency, and strong product judgment for onsite SF role.

Build and deploy production-grade LLM agents and workflows for enterprise customers, integrating tools, APIs, and sensitive data sources. The role combines software engineering, customer-facing technical leadership, end-to-end solution ownership, and enterprise reliability, safety, and auditability.

Provides legal counsel on commercial agreements, IP protection, and data privacy for a high-growth AI startup. Drafts/negotiates contracts, advises cross-functionally, and supports strategic initiatives with 6+ years experience required.

Build and own the software infrastructure supporting large-scale tabular model research, from experimentation through production. The role requires 5+ years of software engineering experience, expert Python and PyTorch skills, strong architecture expertise, and familiarity with modern ML tooling and cloud infrastructure.

Works directly with CEO on high-priority special projects including pricing, org design, partnerships, and marketing execution. Requires 5-8 years experience from consulting/banking with startup operator background, thriving in ambiguity with strong analytical and communication skills.

Conducts outbound prospecting to mid-market engineering orgs, qualifies opportunities with VPs/CTOs, and books meetings for Account Executives. Requires 1-3 years experience, preferably in SaaS sales, with strong communication and sales tools proficiency.

Customer-facing engineer owning end-to-end deployments, configurations, debugging, and integrations for enterprise AI asset management software. Requires 5+ years Python/SQL experience, cloud skills, and customer-facing technical work; hybrid Bay Area with travel.

Owns full-cycle recruiting for Sales team at AI infrastructure startup, building GTM pipelines from scratch. Requires 3+ years experience sourcing Sales talent, process optimization, and data-driven insights in fast-growth environments.

Leads enterprise AI-agent implementations from strategy through launch, partnering with customers and internal teams to configure, test, and scale deployments. Requires 4+ years in software implementation or a similar customer-facing role, plus fluency with SaaS platforms, integrations, and APIs.

Shapes product roadmap for AI operating system serving home service businesses, prioritizing features by P&L impact, writing specs/mockups, owning launches, and driving metrics. Requires high-agency, AI-first mindset, and strong business judgment; startup experience preferred.

Growth marketing intern owning social media, content creation, growth loops, and automations at a voice AI startup. Requires proven track record of building online presence or side projects with strong writing and scrappy mindset.

Owns senior customer relationships, drives renewals, expansions, and revenue growth for AI manufacturing platform accounts. Leads pilot-to-production transitions and cross-functional orchestration with 4-8+ years in account management or customer success.

Leads end-to-end delivery of AI solutions for manufacturing customers, architecting implementations, driving adoption and value realization, coordinating teams, and managing margins. Requires 4-8+ years in solutions consulting or technical delivery with AI/ML/SaaS experience preferred.

Own end-to-end post-sales deployment, adoption, and success for Encord's AI data platform with enterprise customers. Manage complex technical deployments, drive time-to-value and expansion, and act as the voice of the customer to influence product while partnering with Sales on renewals.

Drive Anthropic's startup partnerships via Amazon/AWS, owning GTM strategy, revenue targets, executive relationships, and joint initiatives to accelerate AI adoption in AWS's startup ecosystem. Requires 8+ years in enterprise sales/BD with cloud partner experience.

Leads a team of Strategic Account Executives to secure enterprise AI deals in Telco, Media, and Retail verticals. Drives revenue growth through sales strategy, team development, technical enablement, and market expansion requiring 15+ years sales experience with leadership.

Site Reliability Engineer owns reliability of multi-cloud Kubernetes infrastructure for AI/ML platform, builds observability tooling as code, automates mitigations, leads incident response, and defines SLOs/SLIs. Requires extensive Kubernetes and observability experience.

Builds infrastructure to monitor, detect, remediate, and verify hardware health across global GPU/CPU clusters at hyperscale. Owns node lifecycle workflows and partners with teams to ensure compute reliability for AI training and inference. Requires 7+ years experience with Python, distributed systems, and operational tooling.

Leads AI platform rollout and expansion for strategic customers, managing deployments, executive reporting, ROI analysis, and product roadmap input while building scalable strategy function. Requires 4+ years tech consulting with strong project leadership and analytics.

Build and maintain scalable infrastructure, CI/CD workflows, and cloud or datacenter automation for Cerebras’s AI software stack. The role requires a current university student or new graduate with software development experience and proficiency in Python, shell scripting, containers, Jenkins, and cloud platforms.