86 Research Engineer jobs in the United Arab Emirates

Arthur Lawrence is urgently looking for a Research Engineer for a client in Dubai, UAE. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

Must Have:

• 5+ years of experience in industrial research in manufacturing process / parts production
• Skilled in geometric modeling, 3D Designing,3D printing automation and Fab Lab
• In Depth knowledge of manufacturing, fabrication, testing parts, and application of additive manufacturing
• Hands-on experience with industrial/research with 3D designing and additive manufacturing
• Bachelor's degree in engineering or in related field

Nice to Have:

• Master's Degree in Science / Engineering or in related field

About Us:

Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

Acknowledgements from Industry Peers:

• Winner of Entrepreneur 360 Award (2019).
• IAOP Award; Ranked in top 100 internationally.
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest. Growing companies of America.
• Named one of the top ten fastest growing businesses in Houston in 2016.
• Ranked 25th in the HBJ s Fast 100 Private Companies Award in 2017.

We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People and Stewardship

Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation.

How much experience do you have in R&D?* Less than a year 2 Years More than 2 years 4 years

How much experience do you have in 3D Designing / 3D Printing?* 2 Years 3 Years 4 Years 5 years

Do you have Scopus indexed publication records?* Yes No

The eBRAIN laboratory in the Division of Engineering at New York University Abu Dhabi invites applications for a Research Engineer position to work in the area of research and development (R&D) of advanced machine learning (ML) models like Transformers Vision Transformers Large Language Models (LLMs) and other advanced deep learning models for vision-based applications. The focus is on real-world use cases across different domains such as autonomous systems robotics and smart homes/cities and their security.

The focus of the eBRAIN lab is on building energy-efficient and robust brain-inspired autonomous and cognitive systems through cross-layer analysis and design methods engaging hardware software and system level techniques synergistically. Prof. Shafiques lab has many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust AI/ML and vision systems including efficient learning and inference of complex AI/ML algorithms specialized neural processing hardware and design tools and ML security and their applications in resource-constrained embedded AI/ML systems like autonomous vehicles UAVs Robotics smart houses/cities Wearables and Healthcare. The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable assistive cognitive technologies that care for / serve humanity and the ecosystem in a safe and green way.

The successful applicants will join and drive a large-scale project on investigating novel methods for deploying advanced machine/deep learning models on resource-constrained embedded systems and their practical demonstration in real-world use cases from medical image analysis autonomous vehicles advanced driver assistance smart city/home and Internet-of-Things. This project involves developing efficient and robust models for real-world settings and their prototyping. A key focus will be on IP generation patenting high-quality publications in top-tier ML/AI Robotics Security and Systems conferences and efficient prototyping for real-world use-cases. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists research engineers graduate research students and undergraduate students to investigate cutting-edge scientific methods and to develop full-system prototypes. The eBRAIN lab offers an excellent working environment in an international team with many development possibilities. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators.

Requirements: Applicants should have a Masters or Bachelors in Computer Engineering Electrical Engineering Computer Science or a related field. Extensive and sound knowledge of ML AI deep neural networks (DNN) LLMs Multimodal LLMs tinyML ML frameworks (like PyTorch and Tensorflow) and Prototyping ML systems is required. The candidate should demonstrate a solid experience in practical ML system development. Additional knowledge on MLOps robust/secure computing privacy-preserving ML and ML security is highly desirable. Applicants with strong industrial experience and/or with publications at top/A* ML venues (conferences and journals) are highly preferred. The candidates are also expected to have strong organization problem-solving analytical communication and writing skills as well as high motivation to pursue world-class research and development for practical ML/AI systems.

Application Procedure: The terms of employment for these positions include very competitive salary with additional attractive benefits including generous housing allowance medical insurance with access to world class facilities annual home leave allowance and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling computing publications etc. and will have access to excellent world-class research facilities.

The preferred starting date is as soon as possible preferably Summer 2025 based on the processing steps. Applications will be accepted immediately and candidates will be considered until the position is filled. Review of applications will start as soon as possible and will continue until the position is filled.

To be considered all applicants must submit the following documents all in PDF format.

• A cover letter
• Detailed curriculum vitae (CV) with R&D and programming skillset
• Full list of professional/industrial experience demos and/or scientific publications (if any)
• University degrees and transcripts (with grades) or a letter from supervisor/university officials regarding tentative completion date.
• 1-page executive summaries of BS Theses
• 1-page summary of professional experience future growth plans R&D accomplishments and interests
• 1-page letter of motivation
• At least 2 letters of recommendation with contact information of the referees (can be provided later if slightly more time is required)
• Download links for the PDFs of BS Theses (if available)

Please visit our website at for instructions and information on how to apply. If you have any questions please email Prof. Muhammad Shafique at .

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts Sciences Social Sciences Humanities and Engineering. NYU Abu Dhabi NYU New York and NYU Shanghai form the backbone of NYUs global network university an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world NYUAD serves as a center for scholarly thought advanced research knowledge creation and sharing through its academic research and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

• You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact.

• Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States).
• A strong coder with excellent skills in C/C++ and Python.
• Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc.
• Have a solid understanding of GPU, CPU, or other AI accelerator architectures.
• Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters).
• Have experience improving ML accuracy using low-precision formats.
• Have 1+ years of relevant industry experience.
• Derive a great deal of satisfaction from every percentage point of performance improvement.
• Have experience writing and optimizing compute kernels using CUDA or similar languages.

• Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems.
• Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
• Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks.
• Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN).
• Knowledge of performance profiling and optimization tools for HPC and deep learning.

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job:

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.

Responsibilities :

• Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

• Design, prototype, and scale innovative architectures to enhance model intelligence.

• Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

• Investigate, debug, and improve both model efficiency and computational performance.

• Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).

• Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

• Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Join to apply for the AI Research Engineer role at Tether.io

Join to apply for the AI Research Engineer role at Tether.io

Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job:
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.
Responsibilities:

• Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.
• Design, prototype, and scale innovative architectures to enhance model intelligence.
• Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.
• Investigate, debug, and improve both model efficiency and computational performance.
• Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.
• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
• Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
• Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

• Seniority levelNot Applicable

• Employment typeFull-time

• Job functionInformation Technology
• IndustriesTechnology, Information and Internet

Referrals increase your chances of interviewing at Tether.io by 2x

Get notified about new Artificial Intelligence Engineer jobs in United Arab Emirates.

United Arab Emirates $140,000.00-$180,000.00 1 month ago

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job:

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.

Responsibilities:

• Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.

• Design, prototype, and scale innovative architectures to enhance model intelligence.

• Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.

• Investigate, debug, and improve both model efficiency and computational performance.

• Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).

• Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

• Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

• You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact.

• Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States).
• A strong coder with excellent skills in C/C++ and Python.
• Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc.
• Have a solid understanding of GPU, CPU, or other AI accelerator architectures.
• Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters).
• Have experience improving ML accuracy using low-precision formats.
• Have 1+ years of relevant industry experience.
• Derive a great deal of satisfaction from every percentage point of performance improvement.
• Have experience writing and optimizing compute kernels using CUDA or similar languages.

• Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems.
• Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
• Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks.
• Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN).
• Knowledge of performance profiling and optimization tools for HPC and deep learning.

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join to apply for the Senior Research Engineer role at Analog AI

Get AI-powered advice on this job and more exclusive features.

About Analog
Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.

What Working At Analog Offers
Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.

• Past experience in creating high-performance implementations of deep learning algorithms
• Have experience working in large distributed systems
• Provide technical perspective to develop ML best practices and influence engineering culture in the team
• Have in depth knowledge of how the machine learning system interacts with systems around it
• Evaluate the tradeoffs of different ML models/systems and deploy best ML practices
• Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models

• Have run at least small-scale ML experiments
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python
• Comfortable working with researchers to enable them to develop the next generation of models

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Mid-Senior level

Full-time

Engineering and Information Technology

Technology, Information and Internet

Join to apply for the Senior Research Engineer role at Analog AI

Join to apply for the Senior Research Engineer role at Analog AI

Get AI-powered advice on this job and more exclusive features.

About Analog
Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.

Overview
About Analog
Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.
As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.
Responsibilities

• Past experience in creating high-performance implementations of deep learning algorithms
• Have experience working in large distributed systems
• Provide technical perspective to develop ML best practices and influence engineering culture in the team
• Have in depth knowledge of how the machine learning system interacts with systems around it
• Evaluate the tradeoffs of different ML models/systems and deploy best ML practices
• Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models
  

• Have run at least small-scale ML experiments
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python
• Comfortable working with researchers to enable them to develop the next generation of models
  

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionEngineering and Information Technology
• IndustriesTechnology, Information and Internet

Referrals increase your chances of interviewing at Analog AI by 2x

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