Applied Machine Learning Engineer (All Levels)Allstate Insurance Co. • Springfield, Missouri, United States
Applied Machine Learning Engineer (All Levels)
Allstate Insurance Co.
- Springfield, Missouri, United States
- Springfield, Missouri, United States
À propos
An
Machine Learning Engineer
at Allstate will design, build, and operate machine‑learning models that deliver real business impact across the full ML lifecycle—data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. The team emphasizes pair programming and test‑driven development to ensure high‑quality, reliable solutions. What You’ll Do (Responsibilities Vary by Level)
Entry‑Level (ConsultantII): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices. Mid‑Level (Senior ConsultantI): Build and deploy production ML models, own key components of ML projects, and partner with cross‑functional teams. Senior‑Level (Senior ConsultantII): Lead end‑to‑end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction. Education
Bachelor’s degree (STEM preferred). Experience
Entry‑Level: 0–2 years (academic, internship, or professional). Mid‑Level: 3+ years building ML solutions. Senior‑Level: 3+ years deploying and operating ML systems. Technical Skills
Python (pandas, numpy, scikit‑learn) and software engineering foundations. ML libraries: experience with scikit‑learn, XGBoost, LightGBM (required); PyTorch/TensorFlow (plus). SQL for data exploration and feature engineering. Knowledge of model evaluation and interpretability (e.g., SHAP). Willingness to learn Terraform, Java, and Typescript (no prior experience required). Soft Skills
Strong communication and collaboration abilities. Ability to work with technical and non‑technical partners. Leadership and mentoring experience for senior roles. Preferred Qualifications
Spark or distributed computing. Familiarity with APIs, containers, CI/CD, monitoring, drift detection. MLflow, SageMaker, Azure ML, Docker, CI/CD. AWS, Azure, or GCP cloud experience. Experience with deep learning, NLP, computer vision, or LLM/RAG. Prior ownership of end‑to‑end ML products. Insurance or financial services experience. Compensation
Compensation offered for this role is $110,000.00 – $181,025.00 annually based on experience and qualifications. Candidate(s) offered this position will be required to submit to a background investigation. Legal & EEO Statement
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a reserve component. For jobs in San Francisco, in Los Angeles, and in California, Allstate follows the applicable Fair Chance Ordinances and Initiatives. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. Any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race, religion, sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited.
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Compétences linguistiques
- English
Avis aux utilisateurs
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