Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4365104042&f_AL=true&f_TPR=r86400&f_WT=2&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=400 Job Description: Machine Learning Engineer Goliath Partners · San Francisco Bay Area (Remote) Easy Apply Save Save Machine Learning Engineer at Goliath Partners 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 Liz Lahue 3rd Principal Recruitment Consultant at Goliath Partners Job poster Message About the job We’re working with a client who are building next-generation AI systems that simulate the world by merging art and science. Their work is defining how stories are told, how science advances, and how humanity explores new frontiers. We’re a small, ambitious team of creative, open-minded builders who thrive on tackling problems that once seemed impossible. If you’re driven to build foundational technology that shapes the future, we’d love to hear from you. About the Role We’re hiring Machine Learning Engineers to help build multimodal AI systems for image and video generation, with a strong emphasis on simulation-driven learning and creative tooling. This role is ideal for someone who blends strong engineering instincts with deep ML experience, enjoys high ownership, and thrives in fast-moving environments where research meets production. What You’ll Do Design and develop novel research projects in computer vision and generative modeling (image & video) Build and scale multimodal systems that push the boundaries of media creation in the browser Partner closely with product and engineering teams to bring cutting-edge ML models into production Rapidly prototype, iterate, and productionize models under tight product timelines What We’re Looking For 5+ years of experience in machine learning, computer vision, graphics, or related research/engineering roles Strong hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Excellent programming skills and ability to write clean, maintainable research code Deep interest in human-in-the-loop systems for creativity and content generation Comfort moving quickly from research → prototype → production Strong communication, collaboration, and documentation skills Compensation Base salary range (U.S.): $270,000 – $400,000