{"id":1414996,"url":"https://alion.io/job/geico-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":2667051,"name":"GEICO","domain":"geico.com","url":"https://alion.io/company/geico-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":27,"ghost_share":0,"stale_share":0.889,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Palo Alto, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Feature Store","optional":false},{"name":"Interpretability","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Fine-tuning","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T20:18:22Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-01T02:50:18Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Why Join GEICO?\nAt GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.\nEvery day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.\nFounded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.\nSenior Machine Learning Engineer, AI Research\nGEICO | Hybrid | Palo Alto, CA / New York City, NY / Bethesda, MD\nAbout the Role\nGEICO is redefining the insurance landscape through cutting-edge Artificial Intelligence, and the AI Research team is driving this transformation. We are developing innovative, centralized, real-time AI solutions to solve complex business challenges and deliver advanced capabilities across claims, customer interactions, and operational efficiency.\nAs a Senior Machine Learning Engineer, you will play a pivotal role as a technical leader, designing, deploying, and managing production-grade ML systems that directly impact core business functions. This position is ideal for engineers who have experience shipping ML systems and seek greater ownership, technical depth, and significant business influence.\nThis is a hands-on opportunity for those passionate about scalable architectures, model robustness, and delivering operational excellence in advanced AI systems.\nWhat You’ll Do\nOwn End-to-End Production ML Systems\nDesign, implement, and deploy machine learning models and features for diverse AI applications including predictive analytics, automation, and decision support. \nManage the complete ML lifecycle: data ingestion, feature engineering, training, evaluation, deployment, monitoring, and retraining. \nContinuously advance model performance, reliability, and interpretability in production environments. \nBuild Scalable AI ML Pipelines\nDevelop scalable batch and real-time pipelines to support high-throughput AI workflows and applications. \nOptimize ML serving systems for speed, reliability, and cost-effectiveness. \nCollaborate with platform teams to enhance feature stores, model registries, and deployment infrastructure for AI solutions. \nDrive Technical Excellence\nAuthor high-quality, well-tested, and maintainable code in Python (and/or Java). \nContribute to shared ML frameworks, tooling, and promote engineering best practices across the research team. \nEngage in architecture discussions, design reviews, and technical roadmap development for AI initiatives. \nMentor & Collaborate Across Teams\nMentor junior engineers (MLE I/II), providing code reviews, guidance, and technical leadership. \nWork closely with data scientists, software engineers, operations, and product teams to integrate ML solutions into real-world applications. \nTranslate complex business and technical challenges into actionable ML solutions. \nOperate Reliable ML in a Regulated Environment\nEnsure ML systems adhere to high standards for monitoring, alerting, security, privacy, and compliance. \nSupport incident response and maintain production reliability for AI-driven systems. \nContribute to model governance, explainability, and responsible AI practices. \nMinimum Qualifications\nBachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field (Master’s or PhD a plus). \n6+ years of experience building and deploying machine learning systems in production environments. \nStrong proficiency in Python (and/or Java) and production-grade software engineering practices. \nExperience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. \nHands-on experience with the full ML lifecycle, including deployment, monitoring, and retraining. \nHands-on experience building and deploying LLM-based applications, including prompt design, retrieval-augmented generation (RAG), model evaluation, and production integration. \nFamiliarity with distributed data systems and modern ML infrastructure. \nPreferred Qualifications\nDomain experience in AI Research, Predictive Modeling, Automation, or Decision Intelligence. \nExperience with fine-tuning, adaptation, evaluation frameworks, and safety/guardrails for large language model (LLM) systems. \nFamiliarity with real-time ML serving architectures, feature stores, and low-latency systems. \nExposure to advanced modeling techniques, such as deep learning, reinforcement learning, or natural language processing. \nExperience with big-data and pipeline technologies (Spark, Snowflake, Airflow, DBT). \nKnowledge of model explainability, fairness, and governance in regulated industries. \nWhy Join GEICO AI Research?\nBuild real-time ML systems that drive business innovation and customer value \nTackle large-scale decisioning problems where accuracy and reliability are critical \nCollaborate within a strong engineering culture with growth opportunities toward Staff and Senior Staff roles \nContribute to high-impact initiatives across claims, customer service, and operational AI applications \nAnnual Salary\n$115,000.00 - $230,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.\nGEICO will consider sponsoring a new qualified applicant for employment authorization for this position.The GEICO Pledge:\nGreat Company: Protecting customers through life’s twists and turns with innovation and integrity.\nGreat Careers: Personalized development programs, mentorship, and certification assistance.\nGreat Culture: Inclusive and collaborative culture rooted in shared success.\nGreat Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.\nThe equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.\nGEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.","description_format":"text","description_chars":7456,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-09-28T20:18:22Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":27,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/geico-senior-machine-learning-engineer","json_url":"https://alion.io/job/geico-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-01T11:24:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3049,"day_limit":5000,"remaining_today":1951,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}