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Stage Ml Jobs (NOW HIRING)

Worldpay

ML Software Engineering Lead

Cincinnati, OH · On-site

$98K - $129K/yr

... stage ML software engineering team. * 2+ years of data science research experience. * Proven experience developing microservices at scale (API design, monitoring, deployment strategies ...

Worldpay

ML Software Engineering Lead

Atlanta, GA · On-site

$98K - $129K/yr

... stage ML software engineering team. * 2+ years of data science research experience. * Proven experience developing microservices at scale (API design, monitoring, deployment strategies ...

Tocaro Blue

Senior Machine Learning Engineer

Birmingham, AL · On-site

$130K - $162K/yr

... stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns • Train models on proprietary large-scale datasets (millions of Radar samples ...

Tocaro Blue

Senior Machine Learning Engineer

Birmingham, AL · On-site

$130K - $162K/yr

... stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns · Train models on proprietary large-scale datasets (millions of Radar samples ...

Tocaro Blue

Staff Machine Learning Engineer

Birmingham, AL · On-site

$155K - $190K/yr

... stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns · Train models on proprietary large-scale datasets (millions of Radar samples ...

Tocaro Blue

Staff Machine Learning Engineer

Birmingham, AL · On-site

$155K - $190K/yr

... stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns • Train models on proprietary large-scale datasets (millions of Radar samples ...

Unitytech

Machine Learning Engineer, New Grad

Bellevue, WA · On-site +1

$117K - $152K/yr

Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines * Improve reproducibility and reliability through dataset validation, monitoring, and ...

Socket.dev

$100 - $125/hr

Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines * Improve reproducibility and reliability through dataset validation, monitoring, and ...

Open Orion

ML Engineer

San Francisco, CA · On-site

Open Orion is an early stage research and design company aiming to enhance engineering through AI and simulations. They are seeking a strong ML Engineer to build agentic AI systems that reason about ...

Bayesian Health

Director of AI/ML

Director of AI/ML In Brief * We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. * Lead ...

Docker, Inc

ML Engineer

They are seeking a ML Engineer to be a founding member of their Intelligence Org, focusing on ... The company is currently Late Stage.

Catalyst Labs

ML Engineer

Stamford, CT · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing ... The company is currently Early Stage.

Catalyst Labs

ML Engineer

Manhattan, NY · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing ... The company is currently Early Stage.

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Stage Ml information

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How much do stage ml jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for stage ml in the United States is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $62.02 per hour, depending on experience, location, and employer.

What are popular job titles related to Stage Ml jobs?

For Stage Ml jobs, the most frequently searched job titles are:

Senior ML Performance Engineer

California, MO • On-site

well-funded deeptech startup
See more jobs at well-funded deeptech startupexternal

$250K/yr

Other

Posted 8 days ago

Job description

Senior ML Performance Engineer | $200-250K salary + equity | Early-stage ML Infrastructure. 30-50 employees, $50MM+ in funding

We’re seeking a seasoned ML Performance Optimization Specialist to spearhead the development and deployment of high-performance, scalable ML inference pipelines for a key early-stage company. You’ll optimize model performance, reduce latency, and maximize throughput for some of the most innovative companies in the world.

Key Responsibilities
  • Model Optimization: Conduct in-depth performance profiling and analysis of ML models, identifying and eliminating bottlenecks.
  • Pipeline Engineering: Design and implement efficient ML inference pipelines, leveraging technologies like TensorFlow Serving, TorchServe, and NVIDIA Triton Inference Server.
  • Infrastructure Optimization: Collaborate with infrastructure teams to optimize hardware and software configurations for optimal ML performance, including GPU acceleration, distributed training, and model quantization.
  • Performance Benchmarking: Develop and maintain rigorous performance benchmarks to measure and track improvements.
  • Experimentation: Explore cutting‑edge techniques like model quantization, pruning, and knowledge distillation to further enhance performance.
Required Skills and Experience
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)
  • Deep understanding of ML algorithms and architectures
  • Expertise in performance optimization techniques (profiling, quantization, pruning, etc.)
  • Hands‑on experience with container orchestration platforms (Kubernetes)
  • Proficiency in cloud platforms (AWS, GCP, Azure)
  • Strong problem‑solving and analytical skills
Preferred Qualifications
  • Experience with ML hardware acceleration (GPUs, TPUs)
  • Knowledge of distributed training frameworks (Horovod, DDP)
  • Familiarity with MLIR and compiler optimization techniques

If you’re passionate about pushing the boundaries of ML performance and eager to work on cutting‑edge projects, we encourage you to apply.

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