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💵 Salary 🎪 Benefits 🏢 DFINITY ❌ Clear 8 results
	Software Engineer Reinforcement Learning DFINITY 🇨🇭 Switzerland 💰 $50k - $90k*	Software Python Training Support Cloud Assembly Engineer Engineering	7mo	Apply
DFINITY Apply now 👀 1,113 views ✅ 45 applied (4%) Share this job: Get a rok.co short link DFINITY is hiring a Remote Software Engineer Reinforcement Learning \nEmployment Type: 6 Month Contract\n\nWe are looking for a Software Engineer with a focus on data preparation and AI model training. You will work on assembling, annotating, and cleaning training data, while contributing to reward modeling and supervised fine-tuning tasks.\n\nYou might thrive in this role if you:\n\n\nHave a deep understanding of machine learning and machine learning applications.\n\nWorking knowledge and experience tuning large language models (multimodal) and building evaluations.\n\nBe willing to dive into large codebases to debug.\n\nSomeone who thrives in a dynamic and technically complex environment.\n\nTrack record of delivering outside-the-box novel solutions to solve real-world constraints.\n\n\n\n\n \n\nResponsibilities\n\n\nData Assembly & Annotation: Gather and annotate training data for AI models, ensuring it meets the quality requirements for reward modeling and supervised fine-tuning.\n\nData Cleaning & Processing: Conduct data cleaning and preprocessing to ensure models receive high-quality input.\n\nModel Training: Participate in the training and fine-tuning of models, ensuring that they meet performance and accuracy standards.\n\nCollaboration: Work with AI engineers, data scientists, and other team members to ensure efficient workflows and data handling.\n\nContinuous Improvement: Support iterative improvements to models based on performance monitoring and feedback.\n\n\n\n\n \n\nRequirements\n\n\nExperience: At least 3 years of experience working in a software engineering role focused on AI/ML tasks.\n\nData Expertise: Hands-on experience assembling, annotating, and cleaning training data for machine learning models.\n\nTechnical Skills: Proficiency in Python and experience with AI frameworks like TensorFlow or PyTorch.\n\nModel Training: Familiarity with model training, reward modeling, and supervised fine-tuning techniques.\n\nAttention to Detail: Strong focus on data quality and attention to detail when handling large datasets.\n\n\n\n\n \n\nBonus Points\n\n\nExperience working with reward modeling for AI systems.\n\nFamiliarity with data labeling tools and techniques for supervised fine-tuning.\n\nKnowledge of cloud platforms for AI/ML workloads.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud and Engineer jobs that are similar:\n\n $50,000 — $90,000/year\n \n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n \n\n#Location\nZürich, Zürich, Switzerland Apply for this job 👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks! When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

	Senior AI Engineer Reinforcement Learning DFINITY 🇨🇭 Switzerland 💰 $60k - $100k*	System Training Technical Software Cloud Management Lead Senior Engineer Engineering	7mo	Apply
DFINITY Apply now 👀 829 views ✅ 14 applied (2%) Share this job: Get a rok.co short link DFINITY is hiring a Remote Senior AI Engineer Reinforcement Learning \nEmployment Type: 6 Month Contract\n\nWe are seeking a highly skilled Senior AI Engineer to accelerate the deployment of improvements to our models. You will collaborate with diverse teams handling various facets of the system, including core capabilities, multimodal integration (code, text, and images), tools, and more. This role offers a unique opportunity to shape the future of the Internet Computer, working across the technology stack, from optimizing low-level components like GPU kernels to mastering the intricacies of reinforcement learning post-training.\n\n \n\nThe ideal candidate has a robust technical background in areas such as data technologies, reliable software engineering, production ML model development, and cross-functional collaboration. While research experience is not required, a deep understanding of ML fundamentals and large-scale deep learning is essential for troubleshooting and analyzing complex system and ML issues. Excellent verbal and written communication skills, along with strong project management abilities, are crucial as you will collaborate with both technical engineering and research teams and non-technical product teams across the company.\n\n \n\nResponsibilities\n\n\nOwnership of Post-Training Pipeline: Lead the design, implementation, and optimization of the post-training pipeline to ensure efficient model deployment and scalability.\n\nCoordination of Data Development: Oversee the development of high-quality training datasets, including managing the creation and use of synthetic data.\n\nModel Training: Conduct advanced model training, ensuring continuous improvement in accuracy and performance.\n\nCollaboration: Work closely with cross-functional teams including data engineers, software engineers, and product teams to integrate AI models into production.\n\nPerformance Monitoring: Analyze and monitor the performance of models in production, iterating on training pipelines to enhance outcomes.\n\n\n\n\n \n\nRequirements\n\n\nExperience: Minimum 5 years of experience in AI/ML engineering with a focus on model training and deployment.\n\nPost-Training Expertise: Demonstrated ability to build and optimize post-training pipelines at scale.\n\nData Coordination: Experience in managing the development and annotation of synthetic and real-world datasets.\n\nTechnical Skills: Proficiency in Python, TensorFlow/PyTorch, and experience with cloud platforms like AWS, GCP, or Azure.\n\nTeam Leadership: Proven track record of coordinating complex engineering projects with cross-functional teams.\n\nAnalytical Skills: Strong problem-solving skills with a focus on performance optimization and automation.\n\n\n\n\n \n\nBonus Points\n\n\nPrior experience with distributed AI systems.\n\nHands-on experience with synthetic data generation and augmentation techniques.\n\nFamiliarity with tools for data pipeline automation and orchestration.\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n \n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n \n\n#Location\nZürich, Zürich, Switzerland Apply for this job 👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks! When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

	Software Engineer Cryptocurrency Tools DFINITY 🌏 Probably worldwide 💰 $73k - $115k*	Cryptocurrency Software Design Crypto Test Director Code Web Financial Finance Engineer Engineering	1yr	Apply
DFINITY Apply now 👀 1,356 views ✅ 34 applied (3%) Share this job: Get a rok.co short link DFINITY is hiring a Remote Software Engineer Cryptocurrency Tools EMPLOYER WEB ADVERTISEMENT\n\nEMPLOYER: DFINITY USA Research, LLC (DBA: DFINITY)\nPOSITION TITLE: Software Engineer, Cryptocurrency Tools\nPOSITION DUTIES: Designing. developing and supporting decentralized, blockchain-based and decentralized finance (DeFi) software solution, including the DFINITY Internet Computer Protocol (ICP); Design and implementation of innovative financial products and services in decentralized computing, digital assets, and utility tokens; Build out new functionality for our crypto products, such as providing wallet functionality and integrating financial systems with blockchain currencies; Create and improve infrastructure and tooling for market making and advanced trading in the decentralized exchange ecosystem; Contribute to and maintain the proprietary software (CDK) used to interface with the Internet Computer blockchain network via the Rust programming language; Contribute to and maintain the release process for the CDK and publish regular releases of the software, ensuring it is publicly available and installable on supported operating systems; Design and implement features and functionality that developers can use to build applications on the Internet Computer blockchain; Participate and engage in engineering design discussions that help shape the architecture of new features; Conduct pull request reviews and maintain a high standard of excellence for code contributed to the repositories owned by the SDK team; Prototype and build example apps; write clear, detailed documentation on how to use tools and libraries developed by the SDK team; Implement features in code bases that are not strictly owned by the SDK team, working with cross-functional teams to ensure an assigned project is delivered in a timely fashion and with a high standard of excellence.\n\nREQUIREMENTS: Master’s degree in Financial Engineering or a closely related field; plus two (2) years of experience required in the following:\n\n● Bash\n● Python\n● VSCode\n● Vim\n● Emacs\n● C\n● C++\n● Linux\n● Docker\n● CI/CD infrastructure\n● Integrated Development Environments (IDEs)\n● Algorithm development\n● Performing quantitative analysis\n● Prototyping and building example apps\n● Improving code maintainability\n● Building test automation\n● Open source development\n\nRATE OF PAY: $175,700 per year\nJOB LOCATION: 365 Main St, #229F, San Francisco, CA 94105 (This position can be\nperformed 100% remotely from anywhere in the United States.)\n\nAPPLY TO: Ryan Newman, Director of Recruiting\n 365 Main St, #229F, San Francisco, CA 94105\n (415) 237-0249\n [email protected] \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Crypto, Finance and Engineer jobs that are similar:\n\n $72,500 — $115,000/year\n \n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n Apply for this job 👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks! When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

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Software Engineer Reinforcement Learning

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Remote Software Engineer Reinforcement Learning

Senior AI Engineer Reinforcement Learning

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Remote Senior AI Engineer Reinforcement Learning

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