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1,638 jobs found.

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🔥 Engineering Manager, Data and ML - (Remote - Canada)

Posted about 10 hours ago

📍 Canada

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

4+ years of experience as a professional developer
2+ years of experience as an engineering team manager.
Strong expertise in Python and programming fundamentals.
Experience working with data solutions incorporating both online and batch ML inference.
Expertise in data engineering and machine learning design patterns and best practices.
Experience deploying machine learning models into distributed, data-intensive production systems.
Strong communication and collaboration skills to work effectively across teams.
Experience working in a Cloud-native environment (Azure, GCP, or AWS).

💡 Responsibilities

Lead and manage a team of engineers in the design, development, and deployment of data and machine learning solutions.
Oversee the full software development lifecycle, including discovery, design, implementation, and deployment of cutting-edge systems.
Foster a high-performance culture within the team, providing mentorship and guidance to ensure continuous skill development.
Ensure the successful delivery of business objectives, with an emphasis on delivering solutions that meet the needs of scientific researchers.
Collaborate cross-functionally with teams to ensure smooth integration of data solutions and machine learning models.
Navigate ambiguity and adapt to change, taking both hands-on and strategic leadership roles as needed.

AWS Backend Development Docker Leadership Python SQL Apache Airflow Cloud Computing Machine Learning Algorithms Apache Kafka Data engineering Data science REST API Communication Skills Collaboration CI/CD Agile methodologies Mentoring Team management Data modeling Data analytics

Posted about 10 hours ago

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🔥 Sr. Applied Machine Learning Researcher - Generative Models (US Remote)

Posted about 10 hours ago

📍 United States

🧭 Full-Time

💸 170734.0 - 213418.0 USD per year

🔍 Software Development

🏢 Company: Splice👥 101-250💰 $55,000,000 Series D about 4 years agoMedia and Entertainment Music Machine Learning Software

🔧 Requirements

Ph.D. or Master's degree in Electrical Engineering, Computer Science or related Engineering discipline.
Background or proven experience in Digital Signal Processing.
Proven experience (2+ years) in an Applied Research role focused on Latent Diffusion based generative models for audio and/or symbolic music generation using Transformer-based architectures.. Alternatively, solid experience with diffusion-based models in the image domain, would be considered.
Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
Familiarity with software development best practices and version control systems (e.g., Git).
Strong communication and collaboration skills, with the ability to work cross-functionally with stakeholders in Engineering, Product and Design.

💡 Responsibilities

Conduct literature research and experimentation in the field of ML-based generative audio using Latent Diffusion and symbolic music generation using Transformer-based architectures.
Collaborate with our ML Engineers to design performant model architectures for efficient ML-based audio synthesis and symbolic music generation, as well as adapting and fine-tuning existing models.
Develop proof-of-concept prototypes to showcase and validate capabilities and use cases using generative audio/symbolic models.
Engage with academic and open source communities to stay up to date with the latest developments in the space, collaborate in joint projects, and identify top talent for our AI & Audio Science team’s future hiring needs.
Stay up-to-date with the latest academic and industrial research in generative models for music, incorporating relevant findings into our applied research and product development processes.
Document research findings, methodologies, and best practices. Collaborate with team members to disseminate knowledge and insights.

Python Software Development SQL Data Analysis Git Image Processing Machine Learning Numpy PyTorch Algorithms Data Structures Tensorflow Communication Skills Collaboration CI/CD RESTful APIs Documentation Prototyping Software Engineering

Posted about 10 hours ago

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🔥 AI Outcomes Manager

Posted about 11 hours ago

📍 US

🧭 Full-Time

🔍 Software Development

🏢 Company: Glean👥 101-250💰 $200,000,000 Series D about 1 year agoProductivity Tools Artificial Intelligence (AI)Search Engine SaaS Machine Learning Generative AI

🔧 Requirements

Hungry, curious, and consultative mindset
Strong problem-solving skills with the ability to adapt to different users and scenarios
Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions
Excellent communication skills to effectively interact with multiple stakeholder groups
Creative problem solver with good product sense who can demonstrate and drive the full potential of Glean’s capabilities
Prior experience in consultative roles, solutions engineering, support, or product management is a plus

💡 Responsibilities

Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap
Understand and deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform
Conduct use case discovery workshops and turn those use cases into tangible outcomes
Shape the future of the product – bring the voice of the user to our product and engineering teams and strategically advise on the future of the product
Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement

Artificial Intelligence Business Analysis Data Analysis Machine Learning Product Management Data science Communication Skills Problem Solving Excellent communication skills Stakeholder management Strategic thinking Customer Success

Posted about 11 hours ago

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🔥 Senior Machine Learning Engineer, A.I. Initiatives

Posted about 14 hours ago

📍 United States

💸 140000.0 - 155000.0 USD per year

🔍 News

🏢 Company: The New York Times

🔧 Requirements

4+ years of software-engineering experience
2+ years of developing applications with machine-learning models
Experience in a newsroom or collaborating with journalists or other creative professionals on software development
Technical proficiency and recent experience working with large-language and transformer models
Deep knowledge of machine-learning frameworks
Experience evaluating the strengths and weaknesses of different A.I. models
Full-stack engineering skills for developing front-end web applications and agents with server-side components

💡 Responsibilities

Build prototypes that use machine-learning techniques for the betterment of The Times news report
Develop new algorithms, fine-tuning large-language models, and create other infrastructure for the team’s work
Collaborate with the A.I. team and other desks in the newsroom to assess the value of each prototype and help determine those worth pursuing further
Stay up-to-date on the latest A.I. research and model development, to help inform the team’s work and spread technical proficiency throughout the organization
Develop relationships with other technologists in the newsroom and on product teams, to learn from their existing work with A.I.
Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Python Software Development Frontend Development Full Stack Development Machine Learning Algorithms

Posted about 14 hours ago

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🔥 Senior Data Scientist, Growth - Remote - US & Canada

Posted about 15 hours ago

📍 United States, Canada

💸 160000.0 - 200000.0 USD per year

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related field; equivalent experience is also considered.
4+ years of experience in data science, particularly within consumer apps or mobile game applications.
Proven experience working on user acquisition campaigns and developing data pipelines, reporting, and visualizations.
Proficiency in Python (or R), SQL, and statistical modeling tools.
Experience with data visualization tools like Looker, Tableau, or QlikView.
Familiarity with SKAdNetwork, mobile attribution platforms (e.g., Adjust, Singular, AppsFlyer), and methodologies like media mix modeling and incremental measurement.
Exceptional communication skills, with the ability to translate complex data findings into clear insights for non-technical stakeholders.
Strong analytical and problem-solving skills with the ability to approach challenges proactively.

💡 Responsibilities

Analyze and interpret complex datasets to identify trends, patterns, and insights that drive user acquisition and organic growth.
Design and maintain dashboards, visualizations, and reports that provide actionable insights for both strategic and operational decisions.
Collaborate closely with the game development team to define and collect in-game data, ensuring that metrics align with business and gameplay goals.
Implement advanced statistical techniques and machine learning models to optimize user acquisition and marketing efforts.
Design, execute, and analyze experiments (A/B and multivariate tests) to assess marketing campaigns and provide actionable recommendations.
Develop and manage ETL pipelines, attribution methodologies, and conversion value frameworks to ensure data accuracy in campaign analysis.
Work cross-functionally with Engineers, Business Intelligence, and Analytics teams to improve data collection processes and streamline data implementation.

AWS Python SQL Data Analysis ETL Machine Learning Algorithms Data science Mobile testing Communication Skills Analytical Skills Reporting Data visualization Data modeling A/B testing

Posted about 15 hours ago

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🔥 Founding Engineer

Posted about 15 hours ago

📍 United States, Latin America

🧭 Full-Time

🔍 Healthcare

🏢 Company: Vibrant Practice

🔧 Requirements

Strong expertise in TypeScript and React. You’re proficient in NextJS. You’ve built snappy, performant NextJS apps.
You’ve played around and prototyped (and maybe even shipped) LLM applications and AI agents
You learn quickly, move fast, thrive in ambiguity, and fill in the gaps.
You have a solutions-oriented mindset. You put ideas into action with little oversight.
You possess extreme attention to detail and an eye for design and taste.
You have a proven ability to work in a cross-functional, fast-paced environment and lead complex initiatives.
You’re using AI to 10x your dev work. You’ve dabbled with Copilot, Cursor, Windsurf, etc.

💡 Responsibilities

Develop our full-stack TypeScript clinical application using NextJS
Build and optimize AI agents that assist clinicians with patient analysis, care planning, and medical research
Implement secure integrations with health records, scheduling, and telemedicine systems
Drive technical decisions around AI architecture, model selection, and deployment strategies
Provide feedback and ideas to improve specific procedures, tech implementations, and day-to-day operations to the rest of the team
Fostering an environment of continuous learning, improvement, and excellence

Artificial Intelligence Cloud Computing Full Stack Development Machine Learning React.js TypeScript Algorithms API testing Data Structures Next.js CI/CD RESTful APIs DevOps Software Engineering

Posted about 15 hours ago

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🔥 Staff Software Engineer, ML Understanding

Posted about 15 hours ago

📍 Ireland, the Netherlands, the United Kingdom

🔍 Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

7+ years of relevant experience as a software engineer involved in projects related with natural language processing and AI models integration in products.
Strong background in Python programming and some experience with deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
Expertise in distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources.
Proficiency in data preprocessing, tokenization, embeddings, and language modeling techniques.
Passion for developing scalable, well-designed, and responsible AI solutions that positively impact society.
Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams.
Entrepreneurial spirit, self-motivation, and a bias towards action in fast-paced environments.

💡 Responsibilities

Lead the design, development, and maintenance of the backend and data infrastructure for efficient, accurate, and optimized deployment of AI / ML based systems.
Architect and implement scalable AI / ML based solutions that can handle both the long term growth in the size of our data, and the scalability of the support in accessing it across a growing number of needs within the company
Collaborate with other teams and functions to work towards consolidating all insights about Reddit’s data to be powered by the same platform.
Oversee data storage, retrieval, indexing, and query optimization strategies to ensure fast and reliable access to our data. This may include migrating the data to the right datastore given the company’s growing needs
Collaborate with cross-functional teams to gather requirements, define system architectures and support system development.
Provide technical guidance and mentorship to engineers on the team, fostering a culture of learning and innovation.
Proactively identify technical challenges and propose innovative solutions that align with the team's goals.

AWS Backend Development Python Artificial Intelligence Machine Learning NLTK Numpy PyTorch Software Architecture Algorithms API testing Data engineering Data science Data Structures REST API Tensorflow RESTful APIs Software Engineering Data management

Posted about 15 hours ago

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🔥 Senior Machine Learning Engineer, Top Of Funnel

Posted about 15 hours ago

📍 UK, Ireland, Netherlands

🧭 Full-Time

🔍 Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

2+ years of experience with industry-level deep learning models
2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)
4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models
4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset
Successful track record of productionizing and applying machine learning techniques in addressing real-world problems end to end.
Comfort analyzing high-volume natural language and multimodal data from varying sources, proficient with SQL
Experience working with data-intensive systems and writing production-quality software (preferred Python or golang)

💡 Responsibilities

Collaborate on projects with other Top of Funnel engineers where you’ll apply Machine Learning to solve discovery, relevance and recommendation problems.
Build and deploy sophisticated machine learning models to improve experiences for millions of users.
Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate.
Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.
Be a mentor and cross-functional advocate for the team

Python SQL Data Analysis Machine Learning PyTorch Algorithms Data engineering Data Structures Tensorflow RESTful APIs Data visualization Data modeling

Posted about 15 hours ago

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🔥 Graduate (Summer or Year-Round) Intern for the Application of AI/ML for Mobility Research and Analysis

Posted about 17 hours ago

📍 United States of America

🧭 Internship

💸 43700.0 - 69900.0 USD per year

🏢 Company: NREL

🔧 Requirements

Experience across a large variety of current AI/ML tools.
Fundamental knowledge of transportation engineering/planning, ideally including expertise in current mobility standards and practices as they pertain to automated mobility and traffic engineering.

💡 Responsibilities

Develop a sentiment analysis tool using data harvested from social media on the attitudes and user benefits and issues associated with rapidly scaling vehicle automation such as Waymo Robo-taxis and other automated public mobility initiatives.
Research use of AI/ML to augment or supplant traditional stochastic and Bayesian methods for multi-track sensor fusion, and compare and contrast it with more algorithmic approach using Bayesian association and Kalman filtering, particularly with respect to object permanence through the field of observation.
Assist NREL researchers on applications of ML/AI in various fields of transportation infrastructure and vehicle engineering, with particular emphasis on DOT functions and responsibilities.
Experiment with large language models and their associated tools to increase the productivity of research within the MIE team including literature review, drafting of initial results, and refinement of final product.
Document methods and assumptions and assist with preparing peer-reviewed publications along with high-quality technical reports and presentations.

Python Artificial Intelligence Bash Data Analysis Data Mining Image Processing Machine Learning Numpy Algorithms Data science Data Structures Tensorflow Communication Skills Analytical Skills RESTful APIs Data visualization

Posted about 17 hours ago

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🔥 Principal, Product Manager - Canada

Posted about 18 hours ago

📍 Canada

🔍 Accounting

🏢 Company: Ascend👥 251-500💰 Private over 6 years agoLogistics Transportation

🔧 Requirements

Bachelor’s degree in Information Technology, or equivalent work experience and education; Master’s degree is a plus.
Preference will be given to candidates with experience in ML/AI, development or technical roles, or experience in Taxation and Accounting technology.

💡 Responsibilities

Being a strong influencer of Ascend’s AI strategy, in partnership with the rest of the AI Team.
Working backward from customer needs, develop and communicate your product vision to Ascend leadership and the AI team
Develop a 12-month prioritized roadmap in collaboration with Engineering.
Own the product lifecycle for your product area, from ideation to launch, ensuring continuous iteration and improvement.
Identify and drive large-scale transformation opportunities within your product area.
Develop and execute product strategies that enhance Ascend’s operating margins.
Align and manage dependencies between product areas to ensure a cohesive roadmap.
Provide clear, structured input to Engineering to ensure smooth product development.
Ensure Engineering priorities align with business objectives.
Develop strong ML/LLM hypotheses based on customer research and deep industry understanding.
Partner with AI Engineering to define and prioritize ML/LLM experiments.
Improve and iterate on product launch mechanisms while defining and tracking key metrics post-launch to drive continuous improvement.
Communicate outcomes clearly, adjust priorities based on results, escalate and recommend pivots when needed.

SQL Data Analysis Machine Learning MLFlow Product Management Product Development Product Analytics RESTful APIs Accounting Cross-functional collaboration

Posted about 18 hours ago

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