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.