4,452 Machine Learning Voice jobs in the United States

At DeepIQ, we are building the world’s best {Data + AI} Ops platform for multi-modal data. Our platform helps some of the world’s largest enterprises generate insights from their telemetric (OT), geospatial and structured data. Our team includes leading experts in cloud and machine learning technologies with deep expertise in commercializing novel software and scaling high-growth companies. If you are passionate about deep learning and AI and enjoy writing production quality software, then we have the right job for you! We are committed to providing you an ideal work-life balance and a great place to do high quality work, learn new skills and grow in your career.

Job Responsibilities

· You will research, design and prototype applications using advanced deep learning and other AI algorithms

· You will develop state-of-the-art algorithms using deep learning, object detection/classification, 3D point cloud analytics, large-scale distributed training, multi-model fusion, etc.

· You will optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently

· You will use your strong programming skills to productionize robust data workflows

· You use machine learning techniques to develop predictive models for analyzing highly noisy 2D (images/pixels) and 3D (voxels) datasets

· You will develop models that scale to big data leveraging technologies such as Spark

· You will work with data engineers to cleanse, integrate and model data

· You will transfer the developed models to our software platform and help in model calibration

Required Qualifications

· Bachelors or MS in Computer Science/Statistics/ related disciplines with specialization

· 3 - 5 years of industry experience in data science and software engineering

· Knowledge of both supervised and unsupervised machine learning techniques

· Background in NLP or text mining techniques is a plus

· Proficiency in Keras (Tensorflow) or PyTorch

· Experience with deep neural networks (CNN or other deep networks)

· Proficiency in Python and associated machine learning packages is a must

· Experience in PySpark or other Spark frameworks is a significant plus

· Experience in Hadoop ecosystem including Hive, Pig and Sqoop is a nice to have

· Experience in at least one other programming language like Java

· Experience with UNIX/Linus Operating system and Shell Programming

· Excellent communication and problem-solving skills

· Experience working in an agile and team oriented work environment

· Experience with version control (Git, Mercurial)

Job Location

·Hybrid, US office (DeepIQ USA)

A global technology leader is seeking a Deep Learning Engineer with hands-on experience in AI, computer vision, and robotics automation. The ideal candidate will research and develop advanced perception algorithms for collaborative robots (COBOTs), enabling intelligent navigation, object detection, and obstacle avoidance within industrial settings.

This position is fully onsite in Mountain View, CA .

The Deep Learning Engineer will lead research and development in computer vision for autonomous manufacturing robots. This role combines innovation and application—designing, training, and deploying machine learning models that enhance robot perception and autonomy. You’ll work closely with robotics and automation engineers to bring advanced AI capabilities to life on the production floor.

Research and develop computer vision algorithms for COBOTs and autonomous robotic systems.

Design and implement deep learning models for object detection, obstacle avoidance, and scene understanding.

Collaborate with robotics engineers to integrate and deploy models into real-world manufacturing applications.

Optimize and evaluate perception systems for accuracy, efficiency, and real-time performance.

Conduct experiments, collect and analyze data, and refine models to improve system performance.

Apply Python and AI frameworks to build and validate end-to-end vision solutions.

Stay current on emerging technologies in deep learning, AI, and robotics.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

2–4 years of hands-on experience in Deep Learning and Computer Vision .

Proficiency in Python and frameworks such as TensorFlow or PyTorch.

Experience with Artificial Intelligence (AI) and Robotic Process Automation (Automation Anywhere) .

Proven ability to design, train, and deploy deep learning models for real-world applications.

Preferred Experience & Skills

Familiarity with robotic perception systems and sensor fusion.

Strong understanding of machine learning workflows and MLOps best practices.

Excellent collaboration and communication skills in cross-disciplinary teams.

Research mindset with a focus on experimentation and continuous improvement.

We are seeking a highly skilled and innovative Deep Learning Researcher to join our advanced AI research team. This role involves designing, developing, and optimizing deep learning models for complex real-world applications. The ideal candidate will have a strong research background, proficiency in machine learning frameworks, and the ability to translate theoretical advancements into scalable solutions.

Responsibilities:

Conduct original research in deep learning, including model development, experimentation, and evaluation.

Design, train, and fine-tune neural network architectures for tasks such as computer vision, natural language processing, and reinforcement learning.

Collaborate with cross-functional teams to deploy models into production environments.

Publish research findings in peer-reviewed conferences and journals.

Stay current with state-of-the-art advancements in AI and deep learning.

Mentor junior researchers and contribute to building a strong research culture.

Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Strong foundation in neural network architectures, optimization, and statistical learning.

Proven research track record, including publications in top-tier venues.

Excellent programming skills (Python, CUDA, etc.) and familiarity with GPU-based training.

Ability to communicate complex concepts clearly to both technical and non-technical stakeholders.

Hourly Pay Rate:

$40 - $65 per hour, depending on experience and research impact.

Benefits:

Comprehensive health insurance (medical, dental, vision), or a health stipend for contract or consulting roles.

Retirement plan (e.g., 401(k)) with employer matching or equivalent benefits.

Paid time off (vacation, sick leave, holidays).

Flexible or hybrid work arrangements, including remote options.

Professional development budget for conferences, workshops, and academic travel.

Publication support and research collaboration opportunities.

Access to GPU clusters, cloud compute credits, or high-performance research infrastructure.

Performance-based bonuses or equity participation where applicable.

Job Description:

• 2-4 years of Deep Learning experience.

Role Description:

• Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborate with robotics engineers to deploy models for real world applications

Essential Skills:

• Research in advance areas of Computer vision for COBOTS Autonomous Robots for Manufacturing Plant. The role involves designing perception systems, developing vision-based algorithms for navigation, object detection, obstacle avoidance and collaborate with robotics engineers to deploy models for real world applications

Skills required (MUST HAVE):

• Deep Learning
• Artificial Intelligence (AI)
• Robotic Process Automation - Automation Anywhere
• Python for Data Science

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond.

About the role:

Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. If you are excited about real world applications of deep learning and solving difficult problems in computer vision and autonomy, we would love to hear from you.

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning etc.

How you'll make an impact:

• Design, implement, and deploy computer vision and multimodal deep learning models for Skydio's autonomy system
• Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
• Leverage large scale and diverse synthetic data to power deep learning algorithms
• Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
• Refine and optimize models for low-latency on embedded hardware
• Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
• Be a generalist helping out on all aspects of the software when needed

• M.S. or Ph.D. in computer science, electrical engineering or related discipline
• Demonstrated hands-on experience designing, training and deploying deep learning models
• Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
• Leverage state-of-the-art academic papers and literature for fast iteration
• Ability to thrive in a fast paced, collaborative and highly technical team environment
• Comfortable navigating and delivering within a complex codebase
• Strong communication skills

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

Role:

As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.

Responsibilities:

• Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology

• Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems

• Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture

Requirements

• MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry

• Strong background in numerical and/or algorithmic optimization

• Understanding of building application-appropriate heuristics for NP-hard problems

• Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.

• Strong background in graphs and related algorithms

Nice to haves:

• Proficiency in C++ >= 11

• Experience using / developing in TVM

• Knowledge of front-end and back-end compiler techniques

Expected Outcomes in 12 months:

• Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.

• Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.

Benefits

• Provide competitive salaries and meaningful equity

• Provide a politics free community for the brilliant minds who want to make an immediate impact

• Provide an opportunity for you to build long term career relationships

• Foster an environment that allows for lasting personal relationships alongside professional one

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.

• Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology
• Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems
• Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture

Requirements

• MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry
• Strong background in numerical and/or algorithmic optimization
• Understanding of building application-appropriate heuristics for NP-hard problems
• Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.
• Strong background in graphs and related algorithms

• Proficiency in C++ >= 11
• Experience using / developing in TVM
• Knowledge of front-end and back-end compiler techniques

• Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.
• Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.

Benefits

• Provide competitive salaries and meaningful equity
• Provide a politics free community for the brilliant minds who want to make an immediate impact
• Provide an opportunity for you to build long term career relationships
• Foster an environment that allows for lasting personal relationships alongside professional one

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 15 million miles of autonomous driving globally.

• Work with experts in the field of self-driving vehicles on software architecture and design, system and module design, evaluation metrics, specification and implementation of test and regression frameworks.
• Design and develop large-scale foundation models trained on vast of real world data
• Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars.
• Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs)
• Optimize deep learning models to run robustly under tight run-time constraints.

Requirements

• Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields.
• Solid understanding of data structures, algorithms, parallel computing, code optimization and large scale data processing.
• Experience in applied machine learning including data collection and analysis, evaluation and feature engineering.
• Expertise in C++/Python.
• Strong communication skills and team spirit.

Preferred Experience

• PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical field of study.
• Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV/PAMI
• Experience in applying ML/DL for behavior prediction, imitation learning, motion planning.
• Experience in deploying deep learning algorithms for real time applications, with limited computing resources.
• Experience in convex optimization, computational geometry or linear algebra.
• Experience in GPU/CUDA/TensorRT

Base Salary Range: $140,000 - $250,000 Annually

Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.

Also, we provide the following benefits to the eligible employees:

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (Traditional and Roth 401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Free Food & Snacks

At DeepIQ, we are building the worlds best {Data + AI} Ops platform for multi-modal data. Our platform helps some of the worlds largest enterprises generate insights from their telemetric (OT), geospatial and structured data. Our team includes leading experts in cloud and machine learning technologies with deep expertise in commercializing novel software and scaling high-growth companies. If you are passionate about deep learning and AI and enjoy writing production quality software, then we have the right job for you! We are committed to providing you an ideal work-life balance and a great place to do high quality work, learn new skills and grow in your career.

Job Responsibilities

You will research, design and prototype applications using advanced deep learning and other AI algorithms

You will develop state-of-the-art algorithms using deep learning, object detection/classification, 3D point cloud analytics, large-scale distributed training, multi-model fusion, etc.

You will optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently

You will use your strong programming skills to productionize robust data workflows

You use machine learning techniques to develop predictive models for analyzing highly noisy 2D (images/pixels) and 3D (voxels) datasets

You will develop models that scale to big data leveraging technologies such as Spark

You will work with data engineers to cleanse, integrate and model data

You will transfer the developed models to our software platform and help in model calibration

Required Qualifications

Bachelors or MS in Computer Science/Statistics/ related disciplines with specialization

3 - 5years of industry experience in data science and software engineering

Knowledge of both supervised and unsupervised machine learning techniques

Background in NLP or text mining techniques is a plus

Proficiency in Keras (Tensorflow) or PyTorch

Experience with deep neural networks (CNN or other deep networks)

Proficiency in Python and associated machine learning packages is a must

Experience in PySpark or other Spark frameworks is a significant plus

Experience in Hadoop ecosystem including Hive, Pig and Sqoop is a nice to have

Experience in at least one other programming language like Java

Experience with UNIX/Linus Operating system and Shell Programming

Excellent communication and problem-solving skills

Experience working in an agile and team oriented work environment

Experience with version control (Git, Mercurial)

Job Location

Hybrid, US office (DeepIQ USA)