Machine learning engineers
with impressive records of academic and professional achievements sought to
join our interdisciplinary team in New York City.

This
is a unique opportunity to collaborate with our chemists,
biologists, and computer scientists to expand the group’s efforts
applying machine learning to drug discovery, biomolecular simulation, and
biophysics.&nbsp; Ideal candidates will have
demonstrated expertise in developing deep learning techniques, as well as
strong Python programming skills.&nbsp; Relevant
areas of experience might include molecular dynamics, structural biology,
medicinal chemistry, cheminformatics, and/or quantum chemistry, but specific
knowledge of any of these areas is less critical than intellectual curiosity, versatility,
and a track record of achievement and innovation in the field of machine
learning.



D. E. Shaw Research is
an independent research group focusing primarily on molecular simulations of
proteins and other biological macromolecules with the long-term goal of
transforming the process of drug discovery.&nbsp; We have developed multiple
generations of a special-purpose supercomputer, ANTON®, capable of
executing molecular dynamics
simulations orders of magnitude faster than was previously possible, as well
as software tools aimed at achieving major scientific advances in the fields of
biochemistry and molecular biology.&nbsp; Machine learning
techniques are a rapidly-growing aspect of our research efforts.&nbsp; For example, we have developed and
published neural networks that improve the accuracy of quantum chemistry
models, and have trained deep learning models to generate optimized molecules
for drug discovery.

We
take great pride in the caliber of our team, and we offer above-market compensation.&nbsp; We also
provide generous relocation and immigration assistance to new hires. &nbsp;In addition, we strive to support the personal
and professional needs of our team members by offering generous benefits,
opportunities for community engagement, and a variety of learning and
development programs.

To submit an
application, please use the link provided below:

<a href="https://apply.deshawresearch.com/careers/Register?pipelineId=597&amp;source=Deep+Learning+Jobs">https://apply.deshawresearch.com/careers/Register?pipelineId=597&amp;source=Deep+Learning+Jobs</a>

D. E. Shaw Research is
an equal opportunity employer, dedicated to the goal of building a diverse,
workforce. &nbsp;We embrace diversity along all
dimensions, and respect and value the unique qualities, perspectives, and
identities of every person in our group. &nbsp;We welcome inquiries from all exceptionally
well-qualified applicants, regardless of race, color, nationality, national or
ethnic origin, religion or religious belief, caste, gender identity, pregnancy,
caregiver status, age, military service eligibility, veteran status, sexual
orientation, marital or civil partner status, disability, or status in any
other category protected in this regard by law in any jurisdiction in which we
operate.

Machine Learning -- Computational Biochemistry and Drug Discovery

If&nbsp;you&nbsp;are&nbsp;looking&nbsp;to&nbsp;join&nbsp;a&nbsp;collaborative,&nbsp;open,&nbsp;high&nbsp;impact&nbsp;team&nbsp;of&nbsp;researchers&nbsp;-&nbsp;this&nbsp;one's&nbsp;for&nbsp;you.&nbsp;

We're&nbsp;looking&nbsp;for&nbsp;a&nbsp;Research&nbsp;Engineer&nbsp;with&nbsp;a&nbsp;passion&nbsp;for&nbsp;working&nbsp;on&nbsp;cutting&nbsp;edge&nbsp;problems&nbsp;in&nbsp;computer&nbsp;vision&nbsp;that&nbsp;can&nbsp;help&nbsp;us&nbsp;create&nbsp;highly&nbsp;realistic,&nbsp;emotional&nbsp;and&nbsp;life-like&nbsp;synthetic&nbsp;humans&nbsp;through&nbsp;text-to-video.

In&nbsp;this&nbsp;position,&nbsp;you'll&nbsp;be&nbsp;working&nbsp;on&nbsp;our&nbsp;core&nbsp;visual&nbsp;synthesis&nbsp;technologies&nbsp;in&nbsp;a&nbsp;small&nbsp;dynamic&nbsp;team&nbsp;working&nbsp;to&nbsp;solve&nbsp;extremely&nbsp;challenging&nbsp;problems.&nbsp;You&nbsp;will&nbsp;take&nbsp;a&nbsp;concept&nbsp;from&nbsp;idea&nbsp;to&nbsp;final&nbsp;execution&nbsp;and&nbsp;deliver&nbsp;completely&nbsp;new&nbsp;capabilities&nbsp;to&nbsp;market.&nbsp;You&nbsp;will&nbsp;be&nbsp;at&nbsp;the&nbsp;heart&nbsp;of&nbsp;how&nbsp;the&nbsp;team&nbsp;operates,&nbsp;from&nbsp;building&nbsp;the&nbsp;data-sets&nbsp;we&nbsp;require,&nbsp;the&nbsp;models&nbsp;we&nbsp;implement,&nbsp;the&nbsp;evaluation&nbsp;protocols&nbsp;we&nbsp;adopt,&nbsp;through&nbsp;to&nbsp;the&nbsp;production&nbsp;ready&nbsp;code&nbsp;we&nbsp;deliver.

We&nbsp;are&nbsp;very&nbsp;proud&nbsp;of&nbsp;our&nbsp;research&nbsp;culture&nbsp;and&nbsp;the&nbsp;impact&nbsp;we&nbsp;have&nbsp;achieved&nbsp;in&nbsp;visual&nbsp;synthesis&nbsp;of&nbsp;digital&nbsp;humans&nbsp;with&nbsp;our&nbsp;<a href="https://www.synthesia.io/features/avatars" target="_blank">AI&nbsp;Avatars</a>.&nbsp;You'll&nbsp;have&nbsp;the&nbsp;opportunity&nbsp;to&nbsp;work&nbsp;with&nbsp;multiple&nbsp;R&amp;D&nbsp;teams&nbsp;across&nbsp;diverse&nbsp;areas&nbsp;in&nbsp;direct&nbsp;collaboration&nbsp;with&nbsp;internationally&nbsp;leading&nbsp;academics.&nbsp;As&nbsp;we&nbsp;scale&nbsp;(and&nbsp;we&nbsp;are&nbsp;growing&nbsp;quickly)&nbsp;you'll&nbsp;become&nbsp;a&nbsp;fundamental&nbsp;part&nbsp;of&nbsp;how&nbsp;we&nbsp;shape&nbsp;the&nbsp;future&nbsp;of&nbsp;synthetic&nbsp;media.

In&nbsp;addition&nbsp;to&nbsp;being&nbsp;a&nbsp;part&nbsp;of&nbsp;a&nbsp;great&nbsp;team,&nbsp;working&nbsp;in&nbsp;a&nbsp;fun&nbsp;and&nbsp;innovative&nbsp;environment,&nbsp;we&nbsp;offer...📌Offices&nbsp;in&nbsp;Soho,&nbsp;London

📈Generous&nbsp;stock&nbsp;option&nbsp;plan

🌴25&nbsp;days&nbsp;of&nbsp;annual&nbsp;leave&nbsp;+&nbsp;Bank&nbsp;holidays

👶Excellent&nbsp;Maternity/Paternity&nbsp;leave

🎊Fun&nbsp;culture&nbsp;with&nbsp;regular&nbsp;socials&nbsp;and&nbsp;company&nbsp;retreats&nbsp;twice&nbsp;a&nbsp;year

🚀Join&nbsp;the&nbsp;rocketship&nbsp;while&nbsp;is&nbsp;taking&nbsp;off.

If you are looking to join a collaborative, open, high impact team of researchers - this one's for you. 

Research Engineer - Video Labs

Intelligent Creations focuses on conducting cutting-edge research and development in the area of Computer Graphics, Computer Vision, Augmented Reality and Deep Learning, and continuously transfer innovative technologies to various ByteDance products including Tiktok. We are looking for talents at all levels to join us on this exciting journey!

•Conduct cutting-edge research and development in automatically or manually design neural architectures, do hyperparameter tuning, and model compression/optimization.

•Apply automated machine learning algorithms to improve existing machine models in different systems including but not limited to computer vision tasks on mobile phones and GPU servers.

•Advanced research experience on neural networks architecture, neural architecture search, hyperparameter tuning, model compressions, model quantization, Bayesian optimization or reinforcement learning (preferring candidates with publications in top-tier venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, JMLR).

•Master or PhD in computer science, electrical engineering or related fields.

•Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2, PaddlePaddle).

•Familiar with deep neural network architectures such as CNN/RNN/LSTM etc.

•Strong analytical and problem solving skills.

•Ability to work collaboratively in multi-functional teams.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We believe individuals shouldn't be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to us at yasminh.lu@bytedance.com

Intelligent Creations focuses on transfering innovative technologies to various ByteDance products including Tiktok.

Research Scientist, Deep Learning L001

Yembo's AI Team is hiring a Research Scientist specializing in Deep Learning to spearhead the development of state-of-the-art solutions for semantic labeling, material recognition, hazard identification, and damage recognition, both in 2D images and on 3D models. In this role, you will prototype and develop solutions for critical product features and architect a rapid development process for building, training, and evaluating deep learning models on our proprietary datasets.

If you answered yes to those questions, we invite you to consider joining Yembo!

At Yembo, we are united around our mission to bring revolutionary technology to traditionally boring home services industries. We have already disrupted the moving industry, and now we've set our sights on property insurance.

The AI Team is Yembo's product-driven source of innovation. As an Applied Deep Learning Researcher, you will be in the driver's seat developing the technology that powers our products. If you are excited to use scene recognition to transform the industries that big tech forgot, we would love for you to join our team!

For more Yembo,&nbsp;<a href="https://www.linkedin.com/company/yembo/mycompany/" target="_blank">follow us on LinkedIn</a>&nbsp;and feel free to&nbsp;<a href="https://twitter.com/siddharthm83" target="_blank">tweet at our CEO</a>!

Yembo is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment, as Yembo does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by Federal, state, or local law.

Note: We are not accepting submissions from recruiting firms at this time

Research Scientist, Deep Learning

Yembo's AI Team is hiring a Research Scientist, 3D Reconstruction with strong photogrammetry and geometry fundamentals to drive development of 3D reconstruction algorithms in support of our virtual inspection products. In this role, you will prototype and develop solutions for critical product features and help architect a 3D reconstruction pipeline that leverages the unique constraints and benefits of smartphone video captures in indoor environments.

The AI Team is Yembo's product-driven source of innovation. As an Applied 3D Reconstruction Researcher, you will be in the driver's seat developing the technology that powers our products. If you are excited to use scene recognition to transform the industries that big tech forgot, we would love for you to join our team!

Research Scientist, 3D Reconstruction

Microsoft's mission is to empower every person and every organization on the planet to achieve more and we believe that artificial intelligence will play a critical role in accomplishing that mission. The Core Search and AI team is the leading applied&nbsp;machine learning&nbsp;team at Microsoft responsible for delivering the highest-quality experience to over 500M+ monthly active users around the world in Microsoft’s search engine, Bing.&nbsp;Beyond Bing other search engines such as Yahoo, DuckDuckGo, and new startups like&nbsp;Neeva&nbsp;depend on us as well.&nbsp;

We have seen little innovation in search in the last decade and we are looking for people who want to build the next generation of search using advanced AI technologies such as deep learning. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, extractive and abstractive summarization to generate document snippets, personalization, machine reading comprehension, and document recommendations.&nbsp;&nbsp;

As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together.  We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure.&nbsp;&nbsp;

Some examples of our work include: &nbsp;

If you are passionate about working on the latest and hottest areas that will help you develop skills in Artificial Intelligence, Machine Learning, data science and high scale systems, this is the team you’re looking for! &nbsp;

Apply machine learning algorithms to improve search and recommendation systems.&nbsp;Work on the full lifecycle of machine learning&nbsp;development&nbsp;including training data collection, feature engineering, model training, offline and online experimentation.&nbsp;Implement&nbsp;the state-of-the-art machine learning algorithms&nbsp;and apply&nbsp;to&nbsp;real production end to end.&nbsp;Work with tech leads on challenging machine learning projects to deliver product quality improvements.&nbsp;

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.&nbsp; We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request&nbsp;via the&nbsp;<a href="https://careers.microsoft.com/us/en/accommodationrequest" target="_blank">Accommodation request form</a>.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Apply machine learning algorithms to improve search and recommendation systems. 

Applied Machine Learning Scientist

We are seeking for a Research Fellow who is experienced in the field of deep learning and computer vision.

Research Fellow, Deep learning

We are a well-funded start-up located in San Jose, California with a new energy storage technology that will allow electric vehicles to outperform internal combustion cars. We have enabled a step-change in performance with a different chemistry and cell architecture that also benefits safety.Do you want to make a major contribution to this critical part of the future energy economy? As a deep learning specialist on the metrology team, you will lead efforts to build and develop advanced methods for analyzing image and characterization data collected on our key components at high volume manufacturing scales!

Develop state-of-the-art deep learning solutions for analysis of high resolution, high velocity image data, leading to improved understanding of device performance and improved yield.

Collaborate closely with hardware and metrology teams building high-performance, automated inspection technologies, and a multi-disciplinary team of engineers and scientists developing novel materials and products.

Build deep learning pipelines that scale.

Develop and deploy edge machine learning solutions for high-throughput, automated manufacturing steps.

Develop and deploy machine learning and analytical solutions for data collected with cutting edge materials characterization equipment.

Remain up to date on advances in deep learning and machine learning methodologies and bring the most promising methods into use.

Have a track record of building and deploying deep learning solutions in a materials research or manufacturing setting.

Thrive in a dynamic, technically-challenging environment, and quickly adapt to changes.

Enjoy working as part of a collaborative, multi-disciplinary team to tackle complex challenges.

BS in Computer Science, Materials Science, Physics, Mechanical Engineering, Electrical Engineering, or related field.

At least 3 years of combined professional and academic experience applying deep learning to quantitative image analysis.

Competence with one or more deep learning frameworks (PyTorch, TensorFlow, Keras, fastai).

Fluency in one or more general programming languages, including but not limited to Python, C/C++.

Domain expertise in one or more areas related to manufacturing or physical sciences. Expertise in applying deep learning approaches for complex image segmentation and object detection.Experience applying edge-based and continuous data stream processing for near real-time inference. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request an accommodation.*QuantumScape does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers.&nbsp;

Come join us on our mission as we revolutionize energy storage to enable a sustainable future.

Deep Learning Expert

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits.

Dolby’s Applied AI group is looking for a Deep Learning researcher to contribute to Dolby’s focus on AI and machine learning for audio. The person in this role would create and improve entertainment technologies using machine learning and collaborate with Dolby’s world-class audio and vision experts to develop state-of-the-art solutions.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

Nearest Major Market:&nbsp;San FranciscoNearest Secondary Market:&nbsp;Oakland

Join the leader in entertainment innovation and help us design the future.

Deep Learning Researcher

EnsoData seeks to recruit, hire, and retain the most talented people from a diverse candidate pool. We strongly encourage folks of all backgrounds to apply. To learn more about our ongoing commitment to diversity, check&nbsp;<a href="https://www.ensodata.com/dei/" target="_blank">here</a>&nbsp;for quarterly updates.

EnsoData, a fast growing, venture-backed startup based in Madison, WI, is seeking an experienced candidate for the position of AI &amp; Machine Learning Engineer, a fundamental part of the EnsoData technology team that will take ownership of critical AI/ML development initiatives, design and implement ML systems built on terabytes of health data that power core EnsoData products and services, and delight live healthcare customers with the very best performance achievable.

Our goal at EnsoData is to provide artificial intelligence powered software services that create massive cost and time savings for frontline clinicians, allowing them to spend more time with patients and less time with data; improving both patient and provider satisfaction, and patient outcomes. Our first product, EnsoSleep, uses our machine learning engine with Big Sleep Data to save clinicians hundreds of hours per month by automating one of the most arduous and repetitive data annotation tasks in all of healthcare - sleep study scoring.

In addition to a competitive salary ($100k-$150k), equity in a high-growth startup, and standard benefits including health care, you will have a transformative impact on company culture and success. In this position, you will have the opportunity to grow personally and professionally to help build a world-class data science team, own critical EnsoData R&amp;D initiatives, and serve as a key member of the EnsoData technical leadership team.

EnsoData supports both fully remote and local employees! Expectations for employment are 40 hours/week. Our headquarters are located in Madison, WI but you can live anywhere with US work visa!

We have a simple, concise, and effective recruiting process to find the most qualified and best fit for our team:

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you’re a great fit, but don't necessarily check every box on the job description, please still get in touch.

Perform research to make machine learning solve impactful issues in healthcare.

Machine Learning Engineer

DeepMind welcomes applications from all sections of society. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Conducting research into any transformative technology comes with the responsibility to build mechanisms for safe and reliable development and deployment at every step. Technical safety research at DeepMind investigates questions related to objective specification, robustness, interpretability, and trust in machine learning systems. Proactive research in these areas is essential to the fulfilment of the long-term goal of DeepMind Research: to build safe and socially beneficial AI systems.

Research on technical AI safety draws on expertise in deep learning, reinforcement learning, statistics, and foundations of agent models. Research Scientists work on the forefront of technical approaches to designing systems that reliably function as intended while discovering and mitigating possible long-term risks, in close collaboration with other AI research groups within and outside of DeepMind.

DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions. We have built a hardworking and engaging culture, combining the best of academia with product led environments, providing an ambitious balance of structure and flexibility.

Our approach encourages collaboration across all groups within the Research team, leading to ambitious creativity and the scope for creative breakthroughs at the forefront of research.

DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions.

Research Scientist, Safety

Research Scientists at DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

Having pioneered research in the world's leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning, computational neuroscience and AI.

Drawing on expertise from a variety of disciplines including deep learning, reinforcement learning, computer vision, language, neuroscience, safety, control, robotics and multi-agent, our Research Scientists are at the forefront of groundbreaking research.

Research Scientist

We’re looking for students who have demonstrated an ability to guide themselves and workautonomously as well as on a team. While research is important, we also really value&nbsp;studentswho are great at implementing their ideas quickly, working with a shared code base, andcommunicating changes to their work with their team. We also value&nbsp;students with abackground of experience that can contribute to our current research efforts.

– Applicants in their last year of their graduate or undergraduate degree who are available to work within a year of completing their internship

– Having a strong body of work, especially single-author papers

– Open-source contributions to the ML community

– Strong engineering skills, with a primary interest in research

– Applicants available for a minimum of 6 months

(Student)

Machine Learning Researcher

We are looking for a Deep Learning Library Software Engineering Intern:

NVIDIA is hiring software engineers for its GPU-accelerated deep learning Libraries team. Academic and commercial groups are relying on GPUs to enable breakthroughs in many domains using deep learning, our deep learning libraries (such as cuDNN) is used by enterprise customers, developers and researchers to unlocks new advances in applications in visual systems, language processing, speech and many others. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence.

In this role, you will be responsible for developing enterprise software,&nbsp; by applying modern software development and design practices on CPU and GPU codes&nbsp; to implement new features and building blocks, optimize existing functionality on existing and future hardware and develop performance tuning techniques. In addition you will collaborate with members of the deep learning software engineering organization at NVIDIA to deliver world leading software with unprecedented performance in deep learning using NVIDIA GPUS.

NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking, inventive, and hardworking people working here - we need your help to build our future. Are you creative, ambitious, and love challenges? We want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

Deep Learning Research Jobs October - 2022

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Machine Learning -- Computational Biochemistry and Drug Discoveryat D. E. Shaw Research

Research Engineer - Video Labsat Synthesia

If you are looking to join a collaborative, open, high impact team of researchers - this one's for you.

Research Scientist, Deep Learning L001at ByteDance

Intelligent Creations focuses on transfering innovative technologies to various ByteDance products including Tiktok.

Research Scientist, Deep Learningat Yembo

Research Scientist, 3D Reconstructionat Yembo

Applied Machine Learning Scientistat Microsoft

Apply machine learning algorithms to improve search and recommendation systems.

Research Fellow, Deep learningat National University of Singapore

We are seeking for a Research Fellow who is experienced in the field of deep learning and computer vision.

Deep Learning Expertat QuantumScape

Come join us on our mission as we revolutionize energy storage to enable a sustainable future.

Deep Learning Researcherat Dolby Laboratories, Inc.

Join the leader in entertainment innovation and help us design the future.

Machine Learning Engineerat EnsoData

Perform research to make machine learning solve impactful issues in healthcare.

Research Scientist, Safetyat DeepMind

DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions.

Research Scientistat DeepMind

Research Scientists at DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

Machine Learning Researcherat deepsafety

(Student)

Deep Learning Library Software Engineering Internat Nvidia

Summer 2021