Machine Learning (ML)
Deep LearningAbout the Role
We're looking for a hands-on ML Engineer who combines strong machine learning fundamentals with the backend infrastructure instincts needed to take models from research into reliable, scalable production systems. This role sits at the intersection of cutting-edge generative video AI and the MLOps discipline required to run it at scale.
You'll work closely with backend, platform, and content teams to deliver high-performance ML components under strict quality, latency, and throughput requirements.
Key Responsibilities
- Train, fine-tune, and evaluate generative video and multimodal models (image-to-video, text-to-video, lip-sync, character consistency)
- Build and manage end-to-end ML pipelines: data ingestion, preprocessing, training, evaluation, and versioning
- Own model deployment and serving infrastructure — containerization, GPU-optimized inference, model registries, and rollout strategies
- Implement MLOps best practices: experiment tracking, model monitoring, drift detection, A/B testing, and observability
- Design and maintain scalable inference systems optimized for low latency, high throughput, and cost-efficient GPU utilization
- Develop caching and batching strategies to meet SLA targets in production video generation workflows
- Collaborate with backend engineering teams on integrating ML services into distributed systems
- Contribute to long-term roadmap: foundational model training strategies, LoRA fine-tuning pipelines, and multi-character generalization
Requirements
Required Qualifications
- 4-10 years of experience in Machine Learning / Applied ML Engineering
- Strong fundamentals in deep learning, Transformers, and generative model architectures
- Hands-on experience with model training at scale — including fine-tuning large models (LoRA, full fine-tune) on custom datasets
- Solid MLOps experience: experiment tracking (MLflow, W&B), CI/CD for ML, model versioning, and serving frameworks (Triton, TorchServe, vLLM, or equivalent)
- Strong Python skills and fluency with PyTorch and the modern ML stack
- Experience deploying and operating ML systems in distributed cloud environments (GCP, AWS, or Azure) — GPU provisioning, autoscaling, and cost management
- Comfort working on ambiguous, high-impact problems with cross-functional teams
Preferred Qualifications
- Experience with video generation, diffusion models, or multimodal architectures (DiT, U-Net, audio-video joint models)
- Familiarity with LoRA/IC-LoRA fine-tuning workflows for character or identity consistency
- Experience in media, OTT, sports, or large-scale content platforms
- Knowledge of inference optimization techniques: quantization (FP8/INT8), batching, async orchestration, and GPU memory management
- Exposure to TTS/voice cloning systems or audio-video synchronization pipelines
Benefits
What you get
- Best in class salary: We hire only the best, and we pay accordingly.
- Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
- Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.
About us
Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.
Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.
Shubham Vishwakarma
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About Proximity Works
About
We are Proximity - a global team of coders, designers, product managers, geeks and experts. We solve hard, long-term engineering problems and build cutting edge tech products.
About us
Born in 2019, Proximity Works is a global, fully distributed tech firm headquartered in San Francisco - with hubs across Mumbai, Dubai, Toronto, Stockholm, and Bengaluru. We’re in the business of solving high-stakes engineering challenges with AI-powered solutions tailored for industries like sports, media & entertainment, fintech, and enterprise platforms. From real-time game analytics and ticketing workflows to creative content generation, we help build software that serves millions every day.
About the Founders
At the helm is Hardik Jagda, CEO - a technologist with a startup DNA who brings clarity to complexity and a passion for building delightful experiences.
Milestones & Impact
- Trusted by some of the world’s biggest players - from major media & entertainment giants to one of the world’s largest cricket websites and the second-largest stock exchange in the world.
- Delivered game-changing tech: slashing content creation by 90%, doubling performance metrics for NASDAQ clients, and accelerating speed/performance wins for platforms like Dream11.
Culture & Why It Matters
- Fully distributed and flexible: work 100% remotely, design your own schedule, build habits that work for you and not the other way around.
- People-first culture: Community events, “Proxonaut battles,” monthly off-sites, and a liberal referral policy keep us connected even when we’re apart.
- High-trust environment: autonomy is encouraged. You’re empowered to act, learn fast, and iterate boldly. We know great work comes when talented people have space to think and create.
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