Description:

• Top-notch programming skills
• Deep experience with—and love for—technology. There’s no specific checklist; we use software to approach a variety of problems, so we’re interested in everything from machine learning to systems administration to programming language design
• Strong interpersonal skills. Software engineering at Jane Street is highly collaborative, and we are looking for people who can work effectively in small, close-knit teams
• We don’t expect you to have experience with functional programming, OCaml, Python, or finance; we’re happy to hire talented engineers and teach them what they need to know.
• Fluency in English required

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Description:

IBM Research is one of the world’s largest and most influential corporate research labs, with an unmatched investment in basic research and core science and a commitment to invent the future of technology by making scientific breakthroughs that will transform industries and society. IBM Research is extending research and development, especially in technology areas related to AI because it has great possibilities of solving difficult and/or new problems that have not been solved and of creating innovative services that have not been even dreamed of.

Current focus areas in AI include pioneering work in large language models, natural language processing, speech recognition, AI for code, automated data analytics, and visual inspection

Requirements & Skills:

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Responsibilities:

• Partner with Product and several additional teams to translate high-level roadmap vision into sensible feature specifications and deliverables and assist in the building of a variety of tools and services.
• Work closely with data engineers and other engineering teams on data analysis, data preparation, and data preprocessing.
• Research, experiment, and evaluate statistical and machine learning techniques to develop ML models with instincts that satisfy our requirements and security policies.
• Train, evaluate, and validate ML models using cloud computing platforms.
• Serve trained models as prediction services into the production environment.
• Follow MLOps best practices to develop and maintain machine learning pipelines that can automate the retraining and deployment of new models.

Requirements & Skills:

• Requires a Master’s degree in Computer Science, Computer Information Science, Information, a related field, or a foreign equivalent.
• Must have 2 years of experience in a job offered or related occupation.
• Must have 2 years of experience in Linear Algebra, Statistics and Machine Learning; Python; ML models and algorithms, such as anomaly detection, clustering, multiclass classification with booster algorithms; Building machine learning models, pipeline (java skill), and deployment; Natural language processing, computer vision, data mining; and Tech stack: Scikit-learn, Tensorflow, Pytorch, MLflow, Kubeflow, Databricks, Snowflake.
• Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S.

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Responsibilities:

• Conduct literature reviews and summarize findings for the team.
• Work with your supervisor to define a project with clear goals and scope.
• Implement code (Python), carry out experiments, and analyze results.
• Write reports and give presentations for internal audiences.
• Work closely with a team of AI researchers and programmers on ambitious projects.
• Publish influential research outcomes at top-tier RL conferences.

Requirements & Skills:

• Currently enrolled in a Ph.D. program in reinforcement learning, LLMs, or related areas.
• Publications, expertise, and/or work experience in machine learning.
• Proven ability to implement software in Python.
• Experience designing and debugging neural networks.
• Experience with cloud computing, in particular AWS.
• Experience developing, training, or integrating LLMs.
• Experience training RL agents

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Responsibilities:

• Provide business outcomes: Design solutions leveraging analytical approaches and best practices and build prototypes, code, and documents to deliver actionable insights and business outcomes to stakeholders and management.
• Implement technology modernization: Implement modern technologies related to analytics, Machine Learning, and AI, to improve our company’s business process and efficiency.
• Drive agile delivery: Leverage our ways of working, to deliver business outcomes with agility and significant productivity based on iteration and experimentation principles.
• Foster global collaboration: Establish effective trust partnerships with cross-functional teams and international communities.
• Lead decision-making: Make and execute decisions by using Data Science techniques and data architecture to solve critical business problems and achieve business goals.
• Uphold behavior standards: Maintain behavior standards and a mindset built on collaboration, learning, and sharing principles.

Requirements & Skills:

• Proactive, results-oriented, creative, and flexible thinker with a growth mindset
• Enjoys working in diverse and inclusive global and matrix environments across functions and geographies
• Ability and willingness to speak up and challenge the status quo. Upholds high standards of ethical and intellectual integrity
• Ability to clearly understand business requirements and translate them into data-driven processes and services, while consulting stakeholders on optimal solutions and managing expectations
• Strong interpersonal and communication skills, incl. presentation
• Graduated School Students currently pursuing a degree(s) in Computer Sciences, Statistics, Physics, Engineering, Mathematics, Economics, Public Health, (Pharmaco-)Epidemiology, Pharmacy

The post Machine Learning Engineering Internship, Merck & Co., Inc. appeared first on AI Jobs Latest.

Responsibilities:

• Conduct literature reviews and summarize findings for the team.
• Work with your supervisor to define a project with clear goals and scope.
• Implement code (Python), carry out experiments, and analyze results.
• Write reports and give presentations for internal audiences.
• Work closely with a team of AI researchers and programmers on ambitious projects.
• Publish influential research outcomes at top-tier RL conferences.

Requirements & Skills:

• Currently enrolled in a Ph.D. program in reinforcement learning, LLMs, or related areas.
• Publications, expertise, and/or work experience in machine learning.
• Proven ability to implement software in Python.
• Experience designing and debugging neural networks.
• Experience with cloud computing, in particular AWS.
• Experience developing, training, or integrating LLMs.
• Experience training RL agents

The post Research Intern for Game, Sony Research appeared first on AI Jobs Latest.