Senior ML/AI Engineer
Higgsfield AI
This job is no longer accepting applications
See open jobs at Higgsfield AI.See open jobs similar to "Senior ML/AI Engineer" Menlo Ventures.Why work at Higgsfield AI?
Higgsfield AI is the fastest-growing GenAI platform in the world — #1 in Video AI in the U.S. and top globally by growth. In 9 months, we built a platform for 15M+ users, shipped 100+ releases, and scaled to 4.5M video generations per day, moving at a pace few companies in the world can match.
We’ve already earned the attention of cultural icons like Elon Musk, Madonna, Snoop Dogg, and Will Smith, and generated over 3B social impressions.
What you will work on
Product & Model Development
- Build RAG-based and multi-agent systems for retrieval and reasoning.
- Own data pipelines: ingestion, cleaning, deduplication, filtering.
- Define and track key metrics for retrieval relevance and output quality.
- Run the end-to-end ML lifecycle: prototyping → evaluation → deployment.
- Ship production-ready ML features with product and engineering teams.
Creative & Cross-Functional Collaboration
- Work hands-on with creative teams (video editors, motion designers, producers) to:
- Understand real-world video production and post-production workflows
- Learn how editors think about timing, rhythm, storytelling, and visual language
- Translate creative feedback and artistic intent into technical requirements, model improvements, and system design.
- Act as a bridge between creativity and engineering, ensuring the AI enhances — not replaces — creative control.
Research & Innovation
- Stay current with advances in:
- Video diffusion models
- Multimodal models (text, video, audio)
- Temporal modeling and long-range coherence
- Experiment rapidly and push the boundaries of what AI-assisted video creation can feel like.
Your must haves
(You don’t need to meet every single requirement to be a strong candidate — if you’re excellent in a few of these areas and eager to grow, we’d still love to hear from you. )
Technical Skills
- Proven track record of training and deploying ML models into production (experience with large-scale vision (especially diffusion models), NLP, or multimodal systems is a big plus).
- Strong skills in model training, optimization, and evaluation, with hands-on experience in distributed training and multi-GPU systems is a big plus.
- Proficiency with Python and ML frameworks (PyTorch preferred).
- Experience deploying ML systems into production environments.
- Solid understanding of model evaluation, tradeoffs, and performance constraints.
Creative & Domain Understanding
- Genuine interest in video creation, editing, and storytelling.
- Familiarity with video concepts such as:
- Cuts, transitions, pacing, timelines
- Post-production workflows
- Social vs long-form video formats
- Ability to reason about subjective qualities like “feel,” “flow,” and “style,” and translate them into technical approaches.
Soft Skills
- Excellent communication and collaboration skills.
- Comfortable working with non-technical creative stakeholders.
- Ability to listen deeply, ask the right questions, and synthesize ambiguous input.
- High creativity and product intuition — you care about how the tool feels to use, not just accuracy metrics.
- Ownership mindset: you take ideas from zero to shipped.
The deal
- Competitive salary in USD + Stock Options.
- On-site role in our Almaty office.
- Full-time position with high growth potential.
This job is no longer accepting applications
See open jobs at Higgsfield AI.See open jobs similar to "Senior ML/AI Engineer" Menlo Ventures.