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Remote Deep Learning Engineer Jobs in Middletown, NJ

Meta

Software Engineer, LLVM Compiler

New York, NY · On-site +1

$154K/yr

We are seeking a software engineer to join the MTIA LLVM Compiler team, working on the compiler ... Experience in AI framework development or accelerating deep learning models on hardware ...

New

LinkedIn

Staff AI Engineer (NY)

New York, NY · On-site +1

Experience with PyTorch or similar Deep Learning frameworks * Experience with Spark for data ... Experience leading engineers to tackle a large-scale AI problem * Strong technical background ...

LinkedIn

Senior AI Engineer (NYC)

New York, NY · On-site +1

$144K - $236K/yr

As a Senior AI Software Engineer you will own end-to-end machine learning systems that run in ... Experience with PyTorch or similar Deep Learning frameworks * Experience with Spark for data ...

1 point system

Senior Data Scientist

New York, NY · Remote

Expertise in building machine learning models, including supervised, unsupervised, and deep learning methods. * Expertise in feature engineering, model evaluation, and hyperparameter tuning.

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... learning engineers. This role requires a deep understanding of data engineering best practices ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

... learning engineers. This role requires a deep understanding of data engineering best practices ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

YO AI Labs

Senior Software Engineer - Remote

New York, NY · Remote

$134K - $176K/yr

Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

... deep learning models * Exceptional skills in Python, SQL, and any other programming language for ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

NinjaOne

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Understanding of Generative AI and Deep Learning frameworks. * Experience with streaming frameworks ...

YO AI Labs

COBOL Developer - Remote

New York, NY · Remote

$100 - $150/hr

In this role, you will apply your deep knowledge of COBOL, mainframe environments, and legacy ... Prior experience contributing domain expertise to AI, data, or machine-learning projects is a plus ...

YO AI Labs

Mainframe Developer - Remote

New York, NY · Remote

$53.50 - $69/hr

In this role, you will apply your deep knowledge of COBOL, mainframe environments, and legacy ... Prior experience contributing domain expertise to AI, data, or machine-learning projects is a plus ...

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Showing results 41-60

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Middletown, NJ

Remote Deep Learning Engineer information

See Middletown, NJ salary details

$11.2K

$85.4K

$142.5K

How much do remote deep learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote deep learning engineer in Middletown, NJ is $85,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $141,400.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What job categories do people searching Remote Deep Learning Engineer jobs in Middletown, NJ look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Middletown, NJ are:

What cities near Middletown, NJ are hiring for Remote Deep Learning Engineer jobs?

Cities near Middletown, NJ with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in Middletown, NJ as of September 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $85,362 per year, or $41 per hour.

Software Engineer, LLVM Compiler

New York, NY • On-site, Remote

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$154K/yr

Full-time

Posted 3 days ago

New

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

We are seeking a software engineer to join the MTIA LLVM Compiler team, working on the compiler toolchain for Meta's custom silicon AI accelerators. You will be part of our efforts to architect, design, and implement a production compiler stack targeting next-generation deep learning hardware. The team includes compiler, machine learning, firmware, and ASIC experts, and the work spans from compiling PyTorch models through LLVM-based intermediate representations down to optimized binaries for hardware accelerator blocks.
Software Engineer, LLVM Compiler Responsibilities:
  • Design and implement LLVM compiler passes, including optimization, lowering, and code generation stages targeting ML accelerator backends
  • Analyze and improve compiler-generated code quality through profiling, benchmarking, and performance instrumentation across ML workloads
  • Develop and maintain LLVM IR transformations that enable efficient mapping of ML computation graphs to hardware execution units
  • Collaborate with hardware architecture and ML framework teams to define compiler interfaces and ensure correctness of generated code on custom silicon targets
  • Identify and resolve correctness and performance regressions through systematic debugging, root cause analysis, and targeted fixes in the compiler pipeline
  • Own the technical design of compiler components, evaluating trade-offs between compilation time, runtime performance, and code size for ML inference and training workloads
  • Build and improve automated testing frameworks and benchmarking infrastructure to validate compiler correctness and track performance across hardware generations
  • Drive adoption of compiler best practices and coding standards across the team, contributing to documentation and engineering process improvements
  • Partner with ML engineers and researchers to understand model-level performance requirements and translate them into actionable compiler optimization strategies
  • Mentor other engineers on compiler internals, LLVM architecture, and ML-specific code generation techniques

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 5+ years of experience developing compilers or code optimization software, with demonstrated technical leadership
  • Proficiency in C++ or Rust with experience in large-scale software development, debugging, testing, and performance analysis
  • Experience working within the LLVM/MLIR compiler infrastructure or a comparable production compiler codebase (e.g., GCC, MSVC)
  • Track record of designing and delivering significant compiler features or optimization passes end-to-end
  • Experience driving cross-team technical initiatives and influencing roadmap decisions
  • Experience crossing multi-disciplinary boundaries (hardware, ML frameworks, runtime systems) to drive optimal system-level solutions
  • Experience in AI framework development or accelerating deep learning models on hardware architectures
  • Demonstrated ability to mentor engineers and raise the technical bar of a team

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience working closely with hardware architectures such as SIMD, GPU, RISC-V, and AI accelerators
  • Familiarity with a mainstream ML framework such as PyTorch, TensorFlow, or MLIR-based ML toolchains
  • Experience contributing to the upstream LLVM or MLIR projects
  • Experience with deep learning model compilation, graph compilers, or ML-specific optimization techniques (e.g., operator fusion, tiling, quantization-aware compilation)
  • Experience with hardware-specific optimization for accelerators, GPUs, or DSPs
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience working and communicating cross-functionally in a team environment
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with machine-code generation and back-end compiler optimizations such as instruction selection, register allocation, and instruction scheduling

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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