Graduate Intern – Machine Learning Engineer / Data Scientist
By Gilead Sciences At Foster City, CA, United States
Ability to use problem solving skills to deduce business requirements and translate into technical solution
Excellent communication skills and the ability to transfer requirements clearly
Key Responsibilities will include, but are not limited to the following:
Build end-to-end data science and engineering solutions utilizing Artificial Intelligence and Machine Learning within a small, dynamic team.
Work cross-functionally with stakeholders in PDM and/or Gilead more broadly.
Support the team by developing innovative methods using advanced engineering and mathematical techniques
Machine Learning Engineer - Applied Modeling - Data Technologies
By Bloomberg At New York, NY, United States
Exceptional problem-solving skills and the ability to translate complex business requirements into effective machine learning solutions.
4+ years of experience with an object-oriented programming language such as Java or Python.
Master's or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
Experience using Apache Spark and other distributed data processing technologies
Experience working with and analyzing large-scale datasets and time series data.
Opportunity to drive impactful projects that directly influence financial markets and investment strategies.
Data Scientist - Machine Learning
By Laksan Technologies At Santa Clara, CA, United States
- Monitor and maintain deployed models, making necessary updates as data and business requirements change.
- Excellent problem-solving skills and the ability to translate business needs into technical solutions.
- Strong communication skills and the ability to work effectively in a team environment.
machine learning, data analysis, and programming
- Collect, clean, and preprocess data from various sources to create robust datasets for model development.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and potential issues in the data.
Multimodal Machine Learning Algorithm Engineer Graduate (Applied Machine Learning) - 2024 Start (Bs/Ms)
By ByteDance At , San Jose, 95110 $112,200 - $147,000 a year

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China ...

Applied Scientist - Machine Learning
By Microsoft At , Mountain View, 94043 $94,000 - $182,600 a year
2+ years Experience in C++/C and Python
Experience with statistical modeling and deep learning especially with frameworks such as PyTorch, Tensorflow or Keras.
Experience in design, debugging and problem solving.
Experience in shipping high-quality products or services at-scale is a plus.
Ability to work cross-group and across disciplines.
Passion for customers, innovation, product quality, service excellence and test engineering.
Data Scientist, Machine Learning And Rwd
By Citeline At Boston, MA, United States
Experience in working with AWS cloud environment and large databases (e.g., AWS redshift).
Proficiency in SQL. Experience with PySpark is a plus.
Experience in managing ML lifecycle using open-source tools (e.g., MLflow).
Experience with developing web apps and real-time dashboards for data science and ML using open-source tools (e.g., Streamlit).
Solid understanding of omics data and hands-on experience with analyzing such datasets.
Design, train, and evaluate survival, classification, and regression ML models using appropriate algorithms and frameworks.
Experienced Data Scientist (Machine Learning And Operations Research)
By Procter & Gamble At , Cincinnati $146,000 - $172,000 a year
5+ years of relevant work experience in Data Science organization, preferably in the CPG (Consumer Packaged Goods) industry.
Knowledge and application of scientific computing methods i.e., Python, R, Scala
Experience in one of more advanced analytic mythologies such as Machine Learning, Optimization, Simulation.
Experience with large data sets and cloud computing.
Experience with Dev Ops environment: Git, CICD, etc.
Would you enjoy solving billion-dollar data science problems across trillions of data points?
Principal Machine Learning Scientist
By Atlassian At , San Francisco
Master and above degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
5+ years of related industry experience in the machine learning domain
Experience building and scaling machine learning models in business applications using large amounts of data
Experience building NLP related applications
Agile development mindset, appreciating the benefit of constant iteration and improvement
You will report to the Core Machine Learning Senior Manager.
Senior Staff Machine Learning Engineer, Applied Science
By Pinterest At , Remote
Experience in research and in solving analytical problems
8+ years working experience in the r&d or engineering teams that build large-scale ML-driven projects
3+ years experience leading cross-team engineering efforts that improves user experience in products
Strong publication track record and industry experience in shipping machine learning solutions for large-scale challenges
Information regarding the culture at Pinterest and benefits available for this position can be found
Lead cutting-edge research in machine learning and collaborate with other engineering teams to adopt the innovations into Pinterest problems
Consultant, Applied Learning (Remote)
By Guild At United States
Education benefits and tuition assistance to help your future development and growth
We Currently Offer The Following Benefits
Excellent written and oral presentation skills, especially in a commercial setting
Strong strategic and critical thinking capabilities able to deliver results in a multifaceted environment
Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services
Build Shared Success - building partnerships and working collaboratively with others to meet shared objectives
Applied Machine Learning Scientist - 301698
By Grainger At , Lake Forest, 60045

W.W. Grainger, Inc. is seeking an Applied Machine Learning Scientist in Lake Forest, IL with the following requirements: Master’s degree in Computational Linguistics, Computer Science, ...

Senior Machine Learning Scientist
By DeepCure At , Remote
Industry experience (based on the above requirement), preferably in a small start-up environment, working on early-stage drug discovery applications.
Knowledge of chemical informatics, molecular modeling, and drug discovery workflows.
Mentor, learn, and share cross-disciplinary knowledge with others along the way.
Tax-advantaged commuter benefits for public transportation or parking.
Strong passion for using machine learning to improve our world.
A track record of developing novel machine-learning solutions for real-life problems.
Machine Learning Scientist I
By Cambia Health Solutions At , Portland
Healthcare knowledge: Previous experience is beneficial but not required.
Communication and teamwork: Good communication skills to collaborate effectively with cross-functional teams. Willingness to collaborate and learn with team members.
Work primarily performed in a hybrid environment consisting of in-office and working from home.
One-time furniture and equipment allowance for employees working from home
one-time furniture and equipment allowance for employees working from home
Reducing our members’ claim costs using both supervised and unsupervised approaches.
Machine Learning Engineer / Data Scientist
By Ford Motor Company At , Dearborn, 48124, Mi
1+ year of Google Cloud Platform (GCP) experience, including certifications
Strong oral, written and interpersonal communication skills
Legal or regulatory domain experience
5+ years of experience, including both full-time work and research/academia experience, in mathematical programming, data mining, statistical analysis, and/or machine learning
Experience in one or more of the following domains: NLP, forecasting algorithms, large scale optimization, and deep learning
The minimum requirements we seek:
Machine Learning Scientist (Entry Level) - Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Houston, TX, United States
Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
Experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Special Benefits You Will Love
Senior Applied Deep Learning Research Scientist
By NVIDIA At Santa Clara, CA, United States
MS or PhD in Electrical Engineering, Computer Science/Engineering, or a related field (or equivalent experience).
4+ Years of extensive machine learning / deep learning research or work experience.
Knowledge of application areas such as natural language processing and computer vision.
Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
Develop deep learning-based approaches to improve and advance large language models (LLMs) and large multi-modal models.
Construct and curate datasets for large-scale machine learning, for learning from human preferences, and for specific domains of applications.
Junior Machine Learning Scientist - Us/Canada
By Patterned Learning AI At Houston, TX, United States
Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
Experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Special Benefits You Will Love
Machine Learning Scientist - Natural Language Processing (Nlp) - Executive Director - Machine Learning Center Of Excellence
By JPMorgan Chase & Co. At New York, NY, United States
Required Qualifications, Capabilities, And Skills
Preferred Qualifications, Capabilities, And Skills
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Knowledge in search/ranking, Reinforcement Learning or Meta Learning
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
Machine Learning Scientist - Natural Language Processing (Nlp) - Vice President - Machine Learning Center Of Excellence
By JPMorgan Chase & Co. At New York, NY, United States
Required Qualifications, Capabilities, And Skills
Preferred Qualifications, Capabilities, And Skills
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Knowledge in search/ranking, Reinforcement Learning or Meta Learning
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
Data Scientist (Machine Learning)
By The Carlyle Group At Washington, DC, United States
3 ~ 6 years of experience in a data science or machine learning role, ideally within finance or private equity setting
Strong programming skills and hands-on experience with Python (Numpy, SCipy, Pandas, Sscikit-learn, etc..)
Experience in implementing and managing ML models in production, including validation, scaling, and monitoring
Strong problem-solving skills, data and statistical analysis skills
Excellent verbal and written communication skills
Experience with MLOps tools and practices (preferred)