Machine Learning Engineer

Job Type: Full Time
Job Location: United States

Company Overview

Revival Talent Solutions goes beyond traditional recruitment firms. We’re architects, pioneers, and creators, driven to transform and nurture opportunities. Born from the flaws of the recruitment industry, we’re “Revival,” committed to infusing vitality into hiring. We deliver excellence and value to clients and candidates. Our Approach As a specialized recruitment agency in AI, Machine Learning, and software engineering leadership, we provide customized solutions tailored to your needs. We uncover hidden talents, develop strategies, and seamlessly integrate solutions. We’re revolutionizing the recruitment process for an immersive experience. Partnership We’re not just about placements; we strive for transformation. We prioritize clients and candidates, customizing each step for the best results. With a deep understanding of the AI & Machine learning landscape, we pave the way for success. Vision Our impact reflects our ambition. We enrich the lives of tech professionals, fostering positivity within organizations. We envision Mondays filled with enthusiasm and talents aligned with their true callings. Values Commitment to Excellence: Excellence is us. We exceed in placements and solutions, leaving a lasting positive impact. Honesty and Transparency: We build on trust. What you see is what you get. Informed decisions stem from clear, authentic interactions. Passionate Individuals: Our team embodies “Revival.” They go beyond, reviving recruitment and empowerment. No Fluff: Our communication is realistic. We reject embellishments, nurturing sincerity and openness within the team.

About the job

Revival Talent Solutions has partnered with a venture-backed AI/ML company to hire a Machine Learning Engineer (Applied Research).

About the Client

Our client is a rapidly scaling AI startup building core infrastructure for video processing and generation. Their platform is used by major social, creative, and enterprise platforms globally to power real-time video applications. Backed by top-tier investors, they’re expanding their team to tackle complex technical challenges in video AI.

The Role

They’re looking for a Machine Learning Engineer with a strong applied research mindset to design and optimize video AI pipelines. You’ll work on ambiguous problems like real-time video manipulation, multi-modal data fusion, and performance optimization for latency-critical systems.

This role blends research experimentation with production engineering – ideal for engineers who love solving open-ended problems and shipping robust solutions.

What You’ll Do

  • Build and scale video AI pipelines (e.g., dynamic scene segmentation, adaptive translation).
  • Optimize model performance through techniques like pipelining, quantization, and fine-tuning.
  • Collaborate with researchers and engineers to translate customer needs into product features.
  • Stay ahead of trends in video AI (diffusion models, transformers) and implement cutting-edge approaches.

Requirements

  • 2+ years of software engineering experience in fast-paced startups or scale-ups.
  • Expertise in Python and ML frameworks (PyTorch, TensorFlow).
  • Experience with applied research (e.g., tackling ambiguous problems, rapid prototyping).
  • Background in video processing (OpenCV, FFmpeg) or computer vision (CNNs, object tracking).
  • Bonus: Side projects, open-source contributions, or publications in ML/vision.

Why Join?

  • Cutting-Edge Work: Shape foundational tools used by developers globally.
  • Ownership: High-impact role in a small, collaborative team.
  • Logistics: Competitive base salary + equity.
  • Visa sponsorship is available for the right candidate

How to Apply:

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