{"id":2341580,"url":"https://alion.io/job/goaly-applied-ai-engineer-early-career","title":"Applied AI Engineer — Early Career","company":{"id":4416231,"name":"Goaly","domain":"goaly.ai","url":"https://alion.io/company/goaly-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":290000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":398},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Post-training","optional":false}],"status":"live","first_seen_at":"2026-08-08T23:17:51Z","employer_posted_date":"2026-08-08","last_verified_at":"2026-10-26T22:33:47Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"About us\nWe’re building toward a world where every company can become its own AI lab.\nGoaly is a stealth AI startup founded by ex-Meta Superintelligence Labs engineers and researchers. Our mission is to dramatically lower the cost, time, and talent barriers to building proprietary AI - and make each generation of models faster and cheaper to build than the last.\nBacked by leading AI investors and endorsed by frontier AI researchers and builders, we’re looking for exceptional new grads who want to work on hard, foundational AI systems problems with outsized ownership from day one.\nAbout the role\nJoin as a full member of the technical team from day one. You’ll own meaningful AI problems end-to-end - not just a narrow component - and work directly with the founding team across model post-training, RL environments, distributed systems, training or inference performance, backend services, APIs, SDKs, or developer tools.\nWe move fast, give strong engineers real responsibility early, and encourage great work to become papers, open-source contributions, and production systems used by real customers.\nThis role is designed for exceptional early-career engineers finishing or recently finished with a bachelor’s or master’s degree, or showing equivalent ability through what they’ve built. We look for raw technical strength, initiative, and unusual learning speed more than pedigree. That can show up through research, OSS, ambitious projects, internships, competitions, startup work, or products used by real people.\nCandidates with deeper research experience, including AI PhDs, may be a stronger fit for our AI Research Scientist - Early Career role.\nWhat you'll do\nBuild applied AI projects end-to-end - from problem framing and prototyping to evaluation, production rollout, and iteration.\n\nCreate agentic systems and applications, including agent harnesses, tool use, workflows, memory, and multi-step execution.\n\nApply strong prompt, context, and loop engineering to make models more reliable, capable, and efficient on real-world tasks.\n\nTrack frontier models, research, and AI-native developer tools; quickly test what is useful and turn new capabilities into product improvements.\n\nDesign evaluations, datasets, and feedback loops to measure model and agent performance, diagnose failures, and guide iteration.\n\nMove fluidly across the stack depending on where the hardest problem is - from model APIs and inference to backend services, developer tooling, and product features.\n\nUse AI coding and development tools aggressively but thoughtfully, while maintaining strong technical judgment and code quality.\n\nWhy Goaly\nWork on frontier AI problems across model training, inference, agentic RL infra, and domain-specialized continual learning.\nBuild systems that push research into production - from new mode recipes and post-training methods to infrastructure that runs at serious scale.\nPublish and contribute to open source and top AI conferences, with opportunities to pursue work worthy of top AI conferences and rele\nase impactful OSS used by the broader AI community.\nSerious resources to build with: well-capitalized, substantial GPU capacity, and competitive compensation.\nLearn directly from a founding team that has trained trillion-parameter models and built frontier-scale AI infrastructure, while developing your own research and technical leadership.\nOwn meaningful problems from day one. On a small, highly technical team, you’ll have unusually large scope, research freedom, and direct impact on both the product & technical roadmap.\nMove fast and own the full problem, not one tiny component. Work directly with the founding team, make technical decisions quickly, and take ideas from research to production without layers of process.\nH-1B sponsorship available; OPT/CPT candidates welcome.\nYou may be a good fit if you have\nA bachelor’s or master’s in CS, engineering, math, or a related field - or equivalent ability demonstrated through your work. Typically 0-2 years of full-time experience.\n\nStrong coding skills and CS fundamentals, with evidence from projects, research, internships, competitions, or shipped products.\n\nA track record of learning quickly, taking initiative, and delivering ambitious work with limited structure.\n\nGenuine curiosity about the AI frontier & Continuous learning - you actively track new models, research, tools, and applications and like experimenting with what’s newly possible.\n\nGrit, humility, and a willingness to work hard on the highest-impact problem, even outside your initial area of expertise.\n\nClear communication and comfort working in a fast-moving, low-ego team.\n\nStrong pluses\nMeaningful OSS contributions or independent systems used by others.\n\nExperience with ML/LLMs, distributed systems, GPUs, compilers, databases, networking, or performance.\n\nStrong results in research, competitions, technical internships, or startup work.\n\nA track record of turning ideas into working systems quickly, measuring results, and iterating.\n\nLocation, visa sponsorship & benefits\nHybrid in Palo Alto: 4+ days/week in office.\n\nVisa sponsorship: H-1B and OPT/CPT support available, with immigration counsel.\n\nMeals & perks: Complimentary lunch, dinner, snacks, and drinks.\n\nA note on qualifications. We value exceptional ability over perfect keyword matches. If the work excites you and you can show strong technical ability, learning speed, or ownership, we encourage you to apply.\nEqual opportunity\nWe are an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. 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