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Pytorch Jobs in Miami, FL (NOW HIRING)

... PyTorch or TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • ...

Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch. * Application & API Development: Familiarity with RESTful APIs, microservices architecture ...

Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch. * Application & API Development: Familiarity with RESTful APIs, microservices architecture ...

Showing results 21-40

Pytorch information

See Miami, FL salary details

$75K

$134.4K

$192.8K

How much do pytorch jobs pay per year?

As of Sep 3, 2026, the average yearly pay for pytorch in Miami, FL is $134,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,955.00 and $164,429.00 per year, depending on experience, location, and employer.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What cities near Miami, FL are hiring for Pytorch jobs?

Cities near Miami, FL with the most Pytorch job openings:

Infographic showing various Pytorch job openings in Miami, FL as of August 2026, with employment types broken down into 2% Internship, 89% Full Time, 6% Part Time, and 3% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $134,449 per year, or $64.6 per hour.

Senior C++ Developer (with Market Data experience)

Luxoft

Miami, FL • On-site

$140 - $200/hr

Other

Posted 20 days ago


Job description

Project description

We are looking for a C++ engineer to design and build high performance, low latency applications that process large volumes of real time data. You will work on systems where microseconds and throughput matter, optimizing every layer from algorithms and data structures to networking and OS interaction. Compensation for NYC 140000-200000 USD Gross per year based on the interview process results.

Responsibilities
  • Design, implement, and maintain high performance C++ services handling high message rates and low latency workloads.
  • Optimize existing components for latency, throughput, and CPU/memory efficiency.
  • Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.
  • Profile and debug performance issues at application, OS, and network levels.
  • Collaborate with quantitative, trading, and infrastructure teams (or analogous business/tech teams) to translate requirements into robust technical solutions.
  • Write clean, production quality code with appropriate tests and documentation.
  • Participate in code reviews, design discussions, and continuous improvement of engineering practices.
SKILLS Must have
  • Strong proficiency in modern C++ (C++17/20 or later)
  • Hands-on experience with Market Data
  • Solid understanding of concurrency and synchronization (lock free / low lock patterns, atomics, memory models, etc.)
  • Proven experience building performance critical, real time, or low latency systems (e.g., networking, trading systems, telemetry, gaming engines, or similar)
  • Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimization
  • Practical experience with Linux systems programming (sockets, epoll/select, threads, memory management, CPU affinity, etc.)
  • Experience using profiling, benchmarking, and performance analysis tools (e.g., perf, valgrind, flame graphs, CPU/memory profilers)
  • Proficiency with version control (Git) and standard build systems (CMake, Ninja, etc.)
  • Excellent problem-solving skills and attention to detail; ability to work in a fast-paced environment.
Nice to have
  • Experience with kernel bypass or user space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload) - helpful but not required.
  • Experience in financial markets, market data distribution, order routing, or exchange connectivity.
  • Familiarity with common market data protocols (e.g., FIX, MDP, ITCH, proprietary exchange feeds) is a plus.
  • Experience with multicast, low latency networking, and clock synchronization (e.g., PTP).
  • Exposure to hardware aware optimization (NUMA, cache optimization, vectorization/SIMD, CPU pinning).
  • Experience with monitoring/telemetry for high performance systems (latency histograms, throughput metrics, SLAs).
  • Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation.
  • KDB+
  • Data Analysis with python (pytorch, pandas, arrow)
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