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Ai Research Jobs (NOW HIRING)

EnCharge AI

$175K - $245K/yr

About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...

Collate

AI Research Scientist

San Francisco, CA · On-site

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

Collate

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

Anthropic

Recruiter, AI Research

San Francisco, CA · On-site

Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying ...

Collate

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

Anthropic

Recruiter, AI Research

San Francisco, CA · On-site

$175K - $295K/yr

Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying ...

Cisco

Leader, AI Research Hybrid

San Jose, CA · On-site

Lead and direct AI research teams in the planning, execution, and analysis of cutting-edge research initiatives that advance the field of artificial intelligence across strategic domains including ...

Polymath AI Labs

AI Research Resident

San Francisco, CA · On-site

Polymath is a team of researchers, engineers, and operators focused on advancing the frontier of safe, superintelligent AI agents. * We have a flat organizational structure. We believe that people do ...

Cisco

Leader, AI Research Hybrid

San Jose, CA · On-site

Lead and direct AI research teams in the planning, execution, and analysis of cutting-edge research initiatives that advance the field of artificial intelligence across strategic domains including ...

1910

AI Research Scientist III

Boston, MA · On-site

As an AI Research Scientist III, you will contribute to drug design campaigns by applying AI/ML models, mentoring junior researchers, and staying updated on cutting-edge research in the field.

1910

AI Research Scientist III

Boston, MA

As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

Cobot

AI Research Engineer

Seattle, WA · On-site

Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders who thrive at the intersection of machine ...

PROPRIUS

AI Research Engineer

San Francisco, CA

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data Science Join a Fortune 500 at the top of its field and one that provides custom solutions to over 150,00 ...

webAI

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning models, collaborating with various teams to ensure innovations have real-world impact.

Embedding VC

AI Research Engineer

Mountain View, CA · On-site

$241K/yr

About this role We're hiring an AI Research Engineer. We're open to professionals with a few years of experience and ambitious new graduates. In this role, you'll work closely with our Chief AI ...

1910

AI Research Scientist I

Boston, MA · On-site

As an AI Research Scientist I, you will contribute to drug design campaigns by proposing AI solutions, applying machine learning models, and collaborating with scientific teams while staying updated ...

1910

AI Research Scientist II

Boston, MA

As an AI Research Scientist II at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

1910

AI Research Scientist III

Boston, MA

As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

1910

AI Research Scientist I

Boston, MA

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

1910

AI Research Scientist III

Boston, MA · On-site

As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

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Ai Research information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in mathematics, computer science, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are essential. Creativity, critical thinking, and effective collaboration are vital soft skills for innovating and communicating complex ideas. These skills ensure researchers can develop novel AI solutions, contribute to cutting-edge advancements, and work effectively within interdisciplinary teams.

What is the difference between Ai Research vs Data Scientist?

AspectAi ResearchData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, tech companies, analytics teams
Industry UsageDeveloping new AI algorithms, models, and theoriesAnalyzing data, building predictive models, generating insights

While both roles involve working with data and algorithms, Ai Research focuses on developing new AI methods and theories, often in research settings. Data Scientists apply these techniques to solve practical business problems through data analysis and modeling. The roles overlap in skills and tools but differ mainly in their objectives and work environments.

What is AI research?

AI research is the scientific study and development of algorithms, models, and systems that enable computers to perform tasks that typically require human intelligence. This includes areas such as machine learning, natural language processing, computer vision, robotics, and reasoning. AI researchers work to advance the field by creating new methods, improving existing technologies, and exploring ethical and societal impacts of artificial intelligence. Their work is crucial in driving innovation across industries, from healthcare to autonomous vehicles.

What are some common challenges faced by AI researchers when working on real-world projects?

AI researchers often encounter challenges such as dealing with insufficient or biased data, ensuring model interpretability, and balancing research innovation with project deadlines. Collaborating closely with data engineers, software developers, and domain experts is essential to address these hurdles and translate theoretical models into practical solutions. Additionally, aligning research outcomes with business goals while keeping up with the rapidly evolving AI landscape can be demanding, but it also provides valuable opportunities for continuous learning and career development.
More about Ai Research jobs
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What states have the most Ai Research jobs? States with the most job openings for Ai Research jobs include:
What job categories do people searching Ai Research jobs look for? The top searched job categories for Ai Research jobs are:
Ai Research jobs near you
Infographic showing various Ai Research job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Research Engineer

AI Research Engineer

EnCharge AI

$175K - $245K/yr

Other

Re-posted 9 days ago

Job description

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today's best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization strategies, and efficient inference techniques to improve the performance of AI workloads. 

Responsibilities

  • Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models.

  • Implement low-bit precision optimizations (e.g., INT8, BF16).

  • Design and optimize efficient inference algorithms for AI workloads, focusing on latency, memory footprint, and power efficiency.

  • Work with frameworks such as PyTorch, ONNX Runtime, and TVM to deploy optimized models.

  • Analyze accuracy trade-offs and develop calibration techniques to mitigate precision loss in quantized models.

  • Collaborate with hardware engineers to optimize model execution for edge devices, and NPUs.

  • Contribute to research on knowledge distillation, sparsity, pruning, and model compression techniques.

  • Benchmark performance across different hardware and software stacks.

  • Stay updated with the latest advancements in AI efficiency, model compression, and hardware acceleration. 

Qualifications

  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.

  • Strong expertise in deep learning, model optimization, and numerical precision analysis.

  • Hands-on experience with model quantization techniques (QAT, PTQ, mixed precision).

  • Proficiency in Python, C++, CUDA, or OpenCL for performance optimization.

  • Experience with AI frameworks: PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO.

  • Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI).

  • Familiarity with compiler optimizations for ML workloads (e.g., XLA, MLIR, LLVM). 

EnchargeAI is an equal employment opportunity employer in the United States.

The salary range for this position is $180,000 to $240,000 USD per year. (Per Year: $175,000 to $245,000 CAD | 116,000 to 154,000 EUR)
Actual compensation offered will be determined based on job-related knowledge, skills, and experience.

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