ML Engineer (Data Engine) — Higgsfield

Higgsfield AI, a generative AI company with $500M in annual revenue run rate and 25M+ users, is hiring an on-site ML Engineer (Data Engine) in Almaty, Kazakhstan, to analyze video motion, train reward models, and build video classifiers. The role involves developing multi-shot video sequences, audio processing, and large-scale data curation pipelines, with requirements including strong PyTorch skills and video-processing expertise.

ML Engineer Data Engine - Salary - Not published - Location - Almaty, Kazakhstan - Work type - On-site - Posted - today Apply on company site opens in new tab https://jobs.ashbyhq.com/higgsfieldai/8a8d1931-6a2e-48f8-bbe0-770108a47028/application Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. What you’ll do - Analyze motion and physical dynamics in video, including optical flow, camera vs. object motion, temporal consistency, and physical plausibility such as dynamics, collisions, gravity, and deformation. - Train models that will be used in post-training, including reward models. - Build video classifiers for motion types, shot types, genres, and quality, using both classical approaches and VLM/embedding-based methods. - Develop methods for creating multi-shot video sequences: shot-boundary detection, assembling coherent multi-shot sequences with consistent characters and scenes, and generating captions for individual shots. - Work with audio: speech/music/sound-event detection, audio-visual synchronization evaluation lip-sync and sound-to-action alignment , audio-quality filtering, and audio-track captioning. - Apply classical and learned data-curation techniques, including near-duplicate detection, heuristic filtering, VLM-based captioning, synthetic data generation, and dataset versioning. - Build and run large-scale distributed processing pipelines. Requirements - Strong PyTorch skills and hands-on model training experience, including fine-tuning and deploying classifiers, embedding models, and VLMs. - Deep knowledge of video-processing methods, including motion analysis optical flow, tracking, camera-motion estimation , shot-boundary detection, and temporal consistency and quality evaluation. - Experience building and validating classifiers on video data, including annotation workflows, active learning, threshold calibration, and precision/recall measurement at scale. - Strong understanding of data-curation techniques such as deduplication, filtering, sampling, and dataset balancing, as well as how these choices affect model training. - Experience processing large-scale unstructured datasets, particularly video, audio, and images. What We Offer - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits. This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.