ML Engineer (Data Engine)

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.