{"id":2460042,"url":"https://alion.io/job/xpo-machine-learning-engineer-hybrid-2","title":"Machine Learning Engineer - Hybrid","company":{"id":1775080,"name":"XPO","domain":"xpo.com","url":"https://alion.io/company/xpo-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":15,"max":null,"currency":"USD","period":"hour","gross":null,"usd_annual":30000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-08-22T05:19:45Z","employer_posted_date":null,"last_verified_at":"2026-08-22T05:19:45Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":53},"description":"What you'll need to succeed as a Machine Learning Engineer at XPO\n\nMinimum qualifications:\nBachelor\\'s degree in Computer Science, Engineering, or related field, or equivalent related work or military experience\n1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling \nExperience developing data preparation, validation, or quality-checking tooling for machine learning pipelines\nProficiency in Python and SQL\nExperience with cloud data or ML platforms (e.g., AWS, Google Cloud Platform, BigQuery)\nStrong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams\n\nPreferred qualifications:\nMaster\\'s degree in Computer Science or related field\n3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale\nExperience building and maintaining CI/CD pipelines for machine learning models\nExperience with model serving and inference infrastructure (batch and real-time)\nExperience implementing model monitoring, drift detection, and feedback-loop tooling\nExperience with containerization and orchestration (Docker, Kubernetes)\nExperience partnering with data engineering teams on data pipeline reliability and access\n\nAbout the Machine Learning Engineer job\n\nPay, benefits and more:\nCompetitive compensation package \nFull health insurance benefits available on day one \nLife and disability insurance \nEarn up to 15 days of PTO over your first year \n9 paid company holidays \n401(k) option with company match \nEducation assistance \nOpportunity to participate in a company incentive plan\n\nWhat you'll do on a typical day:\nBuild and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models\nDesign and implement ML infrastructure for model training, evaluation, and deployment\nBuild and maintain CI/CD pipelines for machine learning models, including automated testing and validation\nImplement model monitoring, drift detection, and feedback loops to track model performance in production\nPartner with applied and data scientists to productionize models and streamline the path from experimentation to deployment\nCollaborate with data engineering teams to ensure reliable, accessible data pipelines\nContribute to shared MLOps tooling and best practices across the AI/ML organization\n\nAnnual Salary Range: $100,000 to $120,000 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.\n\nAbout XPO\n\nXPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. \n\nWe are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.\n\nAll applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. \n\nThe above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. \n\nReview XPO\\'s candidate privacy statement .\nPandoLogic. 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