{"id":884851,"url":"https://alion.io/job/yurtsai-senior-software-engineer-machine-learning-remote-us","title":"Senior Software Engineer - Machine Learning (Remote US)","company":{"id":688163,"name":"Yurtsai","domain":"yurtsai.com","url":"https://alion.io/company/yurtsai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Context Engineering","optional":false},{"name":"Function Calling","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"AI Agents","optional":true},{"name":"Kubernetes","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-08-05T23:24:55Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-09-28T23:39:59Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"About Legion\nLet’s be real, AI isn’t magic; Legion was built to move beyond AI hype-delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges.\nBorn from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows-we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use.\nWith world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises.\nWe’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work.\nStaff Applied Machine Learning Engineer (Remote USA)\n***This role requires expert level in development and deployment of machine learning models***\n***US Citizenship or Greencard (Permanent US Residency) is required due to US Government contract requirements***\n***You must be domiciled in the U.S. (must live permanently and maintain home address in the US)***\n***As a step in the application process you will be required to provide legally authorized Identification to show verification of eligibility through third party provider CLEAR ID***\nSenior Software Engineer, Machine Learning\nAs a Senior Software Engineer, Machine Learning, you will design, build, and evolve the core AI capabilities that power intelligent experiences across our enterprise AI platform. You will integrate modern foundation models into production systems, develop reusable AI capabilities, and continuously improve their quality, reliability, and performance. Working closely with cross-functional teams, you will transform advances in AI into secure, scalable, and production-ready capabilities that accelerate innovation across the platform.\nResponsibilities\nDesign, build, and maintain the core AI capabilities that power intelligent experiences across the platform.\nDevelop reusable capabilities for model integration, reasoning, multimodal understanding, structured generation, evaluation, and other foundational AI functionality.\nOptimize the AI systems that power these capabilities through experimentation, quantitative evaluation, context engineering, and iterative refinement.\nApply your production software engineering experience to build backend services, APIs, and distributed AI systems.\nPartner closely with cross-functional partners to deploy scalable AI services that enable product teams to rapidly build AI-powered experiences.\nRapidly prototype emerging AI techniques and translate successful experiments into production-ready platform capabilities.\nSupport production systems by debugging failures and continuously improving latency, reliability, observability, and operational performance.\nStay current with advances in AI engineering, foundation models, and applied machine learning, applying them where they create meaningful customer value.\nOptimize AI systems for performance, latency, reliability, scalability, and cost.\nContribute to a collaborative engineering culture focused on ownership and continuous learning.\nRequired Skills and Qualifications\nBachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.\n5+ years of experience building production software systems.\nStrong software engineering skills with experience in Rust, Python, or similar programming languages.\nProven ability to build scalable backend services, distributed systems, APIs, or data-intensive applications.\nHands-on experience integrating large language models or other foundation models into production applications.\nAbility to design, evaluate, and improve AI systems through experimentation, quantitative evaluation, and continuous iteration.\nFamiliarity with modern AI engineering patterns such as structured outputs, tool calling, context engineering, multimodal systems, or AI workflows.\nStrong understanding of software engineering best practices, including testing, observability, reliability, and maintainability.\nDemonstrated ability to take ownership of technically ambiguous projects from design through production.\nExcellent communication and collaboration skills with the ability to work effectively across cross-functional teams.\nGrowth mindset and low ego, with a willingness to learn, adapt, and collaborate.\nPreferred Skills and Qualifications\nExperience building reusable AI capabilities or shared AI services.\nFamiliarity with deploying, optimizing, or serving open-source foundation models.\nKnowledge of evaluation frameworks, benchmarks, or datasets for AI applications.\nExperience with Kubernetes, cloud-native infrastructure, or distributed systems.\nExperience developing production software in Rust.\nFamiliarity with retrieval-augmented generation (RAG), multimodal AI, AI agents, or model orchestration.\nDomain expertise building complex AI systems such as multimodal reasoning, long-running inference workflows, AI agents, or model orchestration.\nCompensation Information\n$170,000—$200,000 USD\nEqual Opportunity Statement\nLegion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local 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