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Machine Learning Research Engineer Jobs

Machine Learning Student Research Assistant -Eosl –Fall 2023
By Georgia Tech Research Institute At Atlanta, GA, United States
Familiarity with Linux and configuration management tools
Experience in 1 or more programming languages, Python preferred
Strong math skills and ability to learn complex engineering concepts
Experience with Evolutionary Multi-objective Algorithm Design Engine (EMADE) toolset
Experience with machine learning or genetic programming projects
Pursuing a bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or related field
Machine Learning Research Engineer — Computer Vision/Computational Photography
By Apple At , Cupertino
Strong coding skills in Python; experience in C/C++ a big plus
Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques
Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution)
Experience with deep learning frameworks like PyTorch or TensorFlow
Excellent verbal and written communication skills
Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
Internships In Machine Learning Research
By Center for Advanced Imaging Innovation and Research (CAI2R) At , New York, 10016 $15.00 - $44.99 an hour
Strong programming skills in Python and experience with common machine learning and computer vision libraries, e.g., PyTorch, TensorFlow, OpenCV.
Research experience in ML, computer vision, natural language processing, signal processing or data mining.
Prior experience with medical imaging and data; familiarity with MRI Python packages pydicom, nibabel.
Thorough understanding of ML fundamentals, probability, and statistics.
Familiarity with software development tools, e.g., Jupyter notebook, Git version control.
Ability to collaborate and communicate effectively as a member of a research engineering team.
Research Engineer - Ai - Machine Learning - Vernova Research
By GE Corporate At , Niskayuna, 12309
Develop in technical and leadership skills in preparation for future work as a Lead Scientist
Post-doctoral or industrial experience inventing and developing new AI / CV technologies
Work within teams of researchers on new and continuing projects
Implement and analyze prototypes and solutions for real-world problems
Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions
Collaborate with GE’s other AI / CV and Robotics experts to define and pursue strategic advancement of new technologies
Machine Learning Research Engineer
By Video.io At , San Francisco
BS/MS degree in Computer Science or equivalent majors with 2+ years of ML or computer vision experience.
Good understanding of software development principles, capabilities and scalability.
Good team communication and collaboration skills.
San Francisco | Mountain View | Remote
Build highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning and computer vision technologies.
Collaborate with the teams to create a high performance and robust video product.
Research Engineer: Machine Learning
By Intelliswift Software, Inc. At , Burlingame, Ca $70 - $80 an hour
Has a BS with 4+ years of experience or MS with 2+ years of experience
Has 2+ years experience coding in Python, Pytorch, with proven track
Has 1+ years experience with deep learning
Has 1+ years of experience in any of the following domains: (deep)
We are looking for a skilled and motivated machine learning research engineer, to develop and
deliver seamless experiences for humans — specifically, to develop online learning and
Machine Learning Research Engineer | Importan Company From San Francisco, Ca, Usa
By Mkt. Business Consulting Group At New York, NY, United States
•Strong experience with programmings such as Python, CUDA, and deep learning frameworks such as TensorFlow and PyTorch
•Experience implementing and deploying multi-node GPU training
For our Client, an Important Company from San Francisco, CA, we are looking for a:
•Collaborate with our research team to develop state-of-the-art diffusion models for our ecommerce photography use-case
•Read, understand, and implement methods in relevant research, including reinforcement learning algorithms for diffusion models
•Work with our engineering team pushing to improve the performance and efficiency of our machine learning deployments
Machine Learning Research Engineer (Dept: Data & Ml Innovation Us)
By Apple At New York, NY, United States

Summary Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have ...

Machine Learning Research Engineer
By Bharat Resources At New York, NY, United States
•Strong experience with programming such as Python, CUDA, and deep learning frameworks such as TensorFlow and PyTorch
•Experience implementing and deploying multi-node GPU training
2 - 10 yearsof experience In a machine learning intensive role (or in a research capacity)
Y Combinator, Hack VC, and Soma Capital
•Collaborate with our research team to develop state-of-the-art diffusion models for our ecommerce photography use-case
•Read, understand, and implement methods in relevant research, including reinforcement learning algorithms for diffusion models
Director Of Machine Learning Research
By A-Alpha Bio At Seattle, WA, United States
10+ years of industry experience and 5+ years of management
PhD in Computer Science, Machine Learning, Computational Biology, or a similar field; or an equivalent combination of education and experience.
Ability and desire to contribute to ML research as an expert individual contributor in addition to management duties.
Grow and manage a high-performing team of researchers and engineers working on machine learning for protein design and optimization.
Direct experience in the application of deep learning to high-throughput biological sequence data.
Strong problem-solving skills and creativity.
Machine Learning Research Scientist
By Nuro At Mountain View, CA, United States
You have strong problem solving and programming skills in C++ or Python
Research new machine learning problems and models
Work on goal-based, conditional, and joint trajectory prediction and motion planning
Mitigate the uncertainties accommodated through the Autonomy stack
Build effective and efficient ML data pipelines
Collaborate with autonomy teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
Lead Machine Learning Research Engineer, Generative Ai
By Scale AI At San Francisco, CA, United States
Strong programming skills in Python, experience in PyTorch or Tensorflow
Experience with MLOps and the automation of model training & evaluation
Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Publication experience in the field or related topics.
Experience with model optimization techniques for both training and inference
Work with massive datasets to develop both generic models as well as fine-tune models for specific products.
Machine Learning Engineer/ Ai Research Consultant
By Unic AG At , Remote
Passionate about AI with prior experience with machine learning frameworks
At least two years of experience working with AI and machine learning
Strong communicator with distinctive analytical thinking and conceptual skills
Very good English communications skills
Cooperation with our customers to understand their requirements and develop suitable solutions
Degree in computer science with a focus on data science or a related subject or field is a plus
Machine Learning Graduate Research Intern
By Comcast At Washington, DC, United States
NLU and NLG for Customer Experience, both in the assisted and self-service areas
Few-shot and self-supervised learning applied to text
Personalizing recommendations for customers in the Xfinity Assistant and other channels
Synthetic speech/data generation for training audio models
Understand our Operating Principles; make them the guidelines for how you do your job.
Win as a team - make big things happen by working together and being open to new ideas.
Computer Vision And Machine Learning Research Intern
By SRI International At Princeton, NJ, United States

Strong background in computer vision and machine learning.

Science Research Program Mentor, Machine Learning
By American Museum of Natural History At , New York, 10024, Ny From $50 an hour
Experience working with high school students is a plus; Masters or PhD in science is a plus.
Mentor 3 to 6 high school students.
Create a welcoming, inclusive environment where students can develop their sense of belonging in STEM.
Assist students in creating and presenting a scientific poster, talk, and paper.
Must have a record of and be actively engaged in research.
Must have lab or research privileges in an AMNH research facility.
Postdoctoral Research Scientist In Biostatistics And Machine Learning
By Columbia University Irving Medical Center At New York, NY, United States
POSTDOCTORAL RESEARCH SCIENTIST IN BIOSTATISTICS
Assistant Professor of Neurological Sciences in Neurology
etails of our work can be found at
Machine Learning Research Scientist - Natural Language Processing
By Toyota Research Institute At Los Altos, CA, United States
Push the boundaries of knowledge and the state of the art in areas including language and vision for robotics.
Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners.
Stay up to date on the state-of-the-art in Machine Learning ideas.
Present results in verbal and written communications, internally, at top international venues, and via open-source contributions to the community.
Lead collaborations with our external research partners (e.g., Stanford, Berkeley, MIT) and mentor research interns.
Expertise in at least one key ML area.
Director Of Machine Learning Research
By Cognitiv At San Francisco Bay Area, United States
Lead and manage a team of research scientists to achieve team objectives and individual career goals.
PhD related to Machine Learning with 5+ years industry experience
Experience leading ML-related Research & Development team in an industry setting.
Extensive experience modeling complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
Experience working with large datasets in a cloud environment (e.g. AWS)
Exceptional written and verbal communication and organizational skills.
Machine Learning Research Scientist
By Lendbuzz At Boston, MA, United States
3+ years of experience or knowledge equivalent with a strong CS and ML foundation
Ph.D. and research experience in machine learning or related field
A firm grip on programming fundamentals
Intimate familiarity with Python and its data analysis tools
Ability to think and lead projects independently, come up with new ideas and research on them
Build machine learning models using financial and other data modalities

Are you passionate about using Machine Learning to solve complex problems? We are looking for a Research Engineer to join our team and help us develop innovative solutions to challenging problems. You will be responsible for designing, developing, and testing Machine Learning models and algorithms to solve real-world problems. You will also be responsible for researching and developing new Machine Learning techniques and technologies. If you are a creative problem solver with a passion for Machine Learning, then this is the job for you!

Overview A Machine Learning Research Engineer is a professional who is responsible for researching, developing, and implementing machine learning algorithms and models. They work with data scientists and engineers to develop and deploy machine learning solutions. They are also responsible for researching and developing new machine learning techniques and technologies. Detailed Job Description A Machine Learning Research Engineer is responsible for researching, developing, and implementing machine learning algorithms and models. They work with data scientists and engineers to develop and deploy machine learning solutions. They are also responsible for researching and developing new machine learning techniques and technologies. They must have a strong understanding of machine learning algorithms and techniques, as well as a good understanding of data science and engineering. They must be able to work with large datasets and be able to interpret and analyze data. They must also be able to develop and implement machine learning models and algorithms. Job Skills Required
• Strong understanding of machine learning algorithms and techniques
• Knowledge of data science and engineering
• Ability to work with large datasets
• Ability to interpret and analyze data
• Ability to develop and implement machine learning models and algorithms
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of machine learning libraries such as TensorFlow, Scikit-Learn, and Keras
• Knowledge of deep learning frameworks such as PyTorch and Caffe
• Knowledge of cloud computing platforms such as Amazon Web Services and Google Cloud Platform
• Knowledge of data visualization tools such as Tableau and Power BI
Job Qualifications
• Bachelor’s degree in Computer Science, Data Science, or a related field
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with machine learning libraries such as TensorFlow, Scikit-Learn, and Keras
• Experience with deep learning frameworks such as PyTorch and Caffe
• Experience with cloud computing platforms such as Amazon Web Services and Google Cloud Platform
• Experience with data visualization tools such as Tableau and Power BI
Job Knowledge
• Knowledge of machine learning algorithms and techniques
• Knowledge of data science and engineering
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of machine learning libraries such as TensorFlow, Scikit-Learn, and Keras
• Knowledge of deep learning frameworks such as PyTorch and Caffe
• Knowledge of cloud computing platforms such as