Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4354477884&f_C=105559071&geoId=92000000&origin=COMPANY_PAGE_JOBS_CLUSTER_EXPANSION&originToLandingJobPostings=4354845204%2C4354477884%2C4326352779%2C4354808959%2C4326480130%2C4354789107%2C4326283289&trk=d_flagship3_company Job Description: sam Share Show more options AI / ML Software Engineer United States · 1 hour ago · 76 applicants Promoted by hirer · Company review time is typically 1 week Remote Matches your job preferences, workplace type is Remote. Full-time Matches your job preferences, job type is Full-time. Easy Apply Save Save AI / ML Software Engineer at sam AI / ML Software Engineer sam · United States (Remote) Easy Apply Save Save AI / ML Software Engineer at sam Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job Role Overview: We are looking for an AI and Machine Learning Software Engineer to design, build, and deploy intelligent systems that power data-driven products and workflows. This role is ideal for an engineer who enjoys applying machine learning in production environments, working closely with product and engineering teams, and turning complex data into practical solutions. You will collaborate closely with engineering, product, and data partners to develop, deploy, and iterate on models and systems that improve automation, decision-making, and user experiences. Core Responsibilities: Design, build, and deploy machine learning models for production use Develop and maintain data pipelines for training, evaluation, and inference Integrate machine learning systems into existing backend and application workflows Monitor model performance and reliability in production environments Collaborate with product and engineering partners to define and deliver AI-powered features Optimize models and systems for scalability, performance, and accuracy Document systems, experiments, and learnings to support ongoing improvement Continuously improve ML workflows, tooling, and deployment practices Required Experience: 4+ years of experience as a software engineer with applied machine learning experience Strong experience with Python and machine learning frameworks Experience deploying machine learning models into production systems Familiarity with data pipelines, model evaluation, and monitoring techniques Experience working in agile or iterative development environments Strong problem-solving skills and ability to work independently Preferred Background: Experience working with large language models or generative AI systems Exposure to MLOps, data engineering, or model lifecycle management Experience in high-growth startups or product-led technology companies Comfort working across the full lifecycle from experimentation to production deployment Strong communication skills and a collaborative mindset Role Details: Part-time role (potential full-time) Remote, U.S.-based Competitive salary based on experience