Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4360840139&distance=25.0&f_AL=true&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER Job Description: Machine Learning Engineer Scowtt · United States (Remote) Easy Apply Save Save Machine Learning Engineer at Scowtt 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 Meet the hiring team Sunil Phatak 3rd Global Talent | Building World-Class TA Teams | Executive Recruitment | Tech Hiring | E-commerce | Ride sharing | Food Delivery | Fintech | IoT Job poster Message About the job About the Company Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action—immediately. We’re growing fast, and onboarding new customers quickly and cleanly is core to our success. About the Role We are looking for a motivated and self-driven Machine Learning Engineer to join our diverse team. In this role, you will contribute to the development, training and deployment of high-quality ML models to power our Marketing AI and AI Sales Agent. This is an excellent opportunity for someone eager to grow in a collaborative, fast-paced environment where your unique background and ideas are valued. Responsibilities Train and Deploy ML Models Automate data pipelines. Collaborate with the team to integrate AI agents Contribute to the development of scalable ML pipelines on GCP and AWS. Debug, optimize, and enhance application performance. Stay up to date with emerging technologies and best practices in ML development. Qualifications Bachelor's degree in Computer Science or equivalent 1 to 5 years of experience in Machine Learning with a solid foundation in computer science, including data structures and algorithms. Experience with ML concepts Living in Pacific time zone with ability to move to Seattle or Bay Area in future for a hybrid role Preferred Hands-on experience with GCP ML technologies (e.g., BigQuery, Notebook). A quick learner with a self-driven attitude who enjoys working in a collaborative and inclusive environment. Must be located in the United States. Pay range and compensation package Based on the level hired at, the cash compensation for this role ranges between $100,000 to $150,000. Selected candidate/s will be eligible for standard benefits and startup equity.