{"id":4191349,"url":"https://alion.io/job/photon-remote-principal-ml-engineer-usa","title":"[Remote] Principal ML Engineer - USA","company":{"id":3186451,"name":"Photon","domain":"photon.com","url":"https://alion.io/company/photon-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"C","score":55,"open_postings":711,"ghost_share":0.833,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":48000,"max":168000,"currency":"USD","period":"year","gross":null,"usd_annual":168000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"Feature Store","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"Java","optional":true},{"name":"LLMOps","optional":true},{"name":"MLFlow","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-11-12T16:54:24Z","employer_posted_date":null,"last_verified_at":"2026-11-12T16:54:24Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Note: The job is a remote job and is open to candidates in USA. Oracle is a leading company that has powered many Digital Experiences for the Fortune 500. They are seeking a Principal ML Engineer to develop AI/ML capabilities that enhance user personalization and insights, lead a team of engineers, and work on innovative solutions within the Mail Intelligence AI/ML platform.\n\nResponsibilities\nContribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights\nInnovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences\nTechnical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions\nCollaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions\nData-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge\nTool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics\nA/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models\nCommitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences\nFeedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction\nBalance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance\n\nSkills\nBachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus\n8+ years of experience in machine learning, data analysis, or a related field\nExpertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn\nSkilled with AI tools such as Cursor, Copilot, and Claude\nProficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML)\nHands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations\nFamiliar with observability, telemetry, and user feedback loops for product improvement\nSolid understanding of machine learning algorithms, natural language processing, and data mining techniques\nDemonstrated ability to solve complex problems and implement efficient, scalable solutions\nAbility to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams\nStrong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders\nEagerness to learn and adapt to new technologies and methodologies in the AI/ML domain\nPrior experience working with email systems or related technologies is a plus\nSelf-driven and detail-oriented, with a passion for tackling challenges\nStrong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively\nExperience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred\n\nBenefits\nMedical, vision, and dental benefits\n401k retirement plan\nVariable pay/incentives\nPaid time off\nPaid holidays\n\nCompany Overview\nPhoton is a technology corporation that provides Strategy Consulting, Creative Design, and Technology Services to global enterprise. It was founded in 2007, and is headquartered in London, England, GBR, with a workforce of 5001-10000 employees. Its website is https://www.photon.in.\n\nCompany H1B Sponsorship\nPhoton has a track record of offering H1B sponsorships, with 1 in 2026. 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