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Design & develop prompting techniques for emotional and intellectual use cases Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team Research & implement novel prompting techniques Embody our culture and values. Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes A novel prompting discovery: a really interesting challenge that you've solved in a creative way Scaled implementation: you've shipping prompted systems that work reliably at production scale with diverse user populations Evaluation design: you've built robust testing frameworks to measure AI behavior against goals User-centric approach: proven understanding of how prompting decisions impact the lived experience of people who interact with AI A wonderful writer who loves words, storytelling, or linguistics. Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences Comfort with ambiguity in an exponentially growing space Bachelor's Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years of experience with large language models. A non-traditional background: philosophy, linguistics, psychology, therapy, or literature. An understanding of conversation design or product design. Familiarity with both quantitative metrics and qualitative assessment methods. Experience with personalization systems that adapt to individual user needs. Adversarial prompting experience or conducted some unhinged experiments. 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Embody our culture of collaboration, innovation, and excellence. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python OR equivalent experience. Background in machine learning research. Experience with large scale distributed AI systems. 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Build and lead a team of software engineers, including driving project planning, prioritization of work, and designing features. Support, mentor, and help engineers grow, building an inclusive team environment where everyone can deliver their best work. Advocate for and maintain a culture of high-quality software development. Analyze telemetry and usage data to inform product decisions and troubleshoot issues. Work with diverse opinions and negotiate solutions, balancing customer requirements and business goals. Bachelor's degree in computer science, or related technical discipline AND 8+ years technical engineering experience developing building web services with coding in languages including, but not limited to, Python, C#, C++, Rust, Java 4+ years of experience in managing, leading, and inspiring a team of engineers, including hiring, retaining, and managing performance. 4+ years of experience working on cloud services and infrastructure. 4+ years of experience running and working with distributed systems and on services at scale. Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering building web services with coding in languages including, but not limited to, Python, C#, C++, Rust, Java OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering building web services with coding in languages including, but not limited to, Python, C#, C++, Rust, Java OR equivalent experience. 6+ years people management experience. Experience with LLM training clusters. Experience working with AI platforms, frameworks, and APIs. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008284", "isPrivate": false}, {"id": 1970324837006629, "name": "Member of Technical Staff, AI - Multimodal", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747793891, "t_create": 1738699916, "ats_job_id": 1970324837006629, "display_job_id": 1970324837006629, "type": "ATS", "id_locale": "1970324837006629-en", "job_description": "Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit solid analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understandings about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. Innovate and iterate over ideas, prototypes, and product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. Advance the AI frontier responsibly. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837006629", "isPrivate": false}, {"id": 1970324837010441, "name": "Language Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747844472, "t_create": 1742322530, "ats_job_id": 1970324837010441, "display_job_id": 1970324837010441, "type": "ATS", "id_locale": "1970324837010441-en", "job_description": "At Microsoft AI we are pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It\u2019s a time of huge change in the AI landscape, and this role will put you right in the heart of it. We\u2019re on the lookout for a detail-oriented Language Engineer to help build the next wave of capabilities of our personal AI, Copilot. Language is an increasingly important modality for how we interact with computers. As an Language Engineer on the Copilot team, you will be responsible for how Copilot wields language. You will collaboratively work with data scientists, AI researchers, engineers, designers, and product managers to discover issues, define policy, evaluate language, collect data and ultimately improve the Large Language Models that power Copilot. We\u2019re looking for someone with a strong understanding of language principles, a passion for conversational AI, an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment. Our newly formed organization, Microsoft AI (MAI), focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top notch design and product craft. The wider team is responsible for Copilot, Bing, Edge, and generative AI research, while the Mobile Engineering team is responsible for leading and building the mobile experience of Copilot on iOS and Android, collaborating closely with our Product Management, Design and AI Research teams. This role requires a balance of technical skills and effective people management skills. Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. By applying to this role based in U.S. Mountain View, CA, you are required to be local to the San Francisco area and in office 3 days a week. Responsibilities Spin the Data Flywheel: You will extract insights from extensive language datasets to uncover issues and opportunities and share recommendations with AI, Design, and Marketing teams that lead to direct product improvements. Evangelize learnings to drive impact: You will share Data Science and Product Analytics Insights in Weekly Product Reviews and facilitate collaborative, thought-provoking sessions with cross-functional teams. Build Taxonomies: You will create structured classifications and categorizations for language data. Build Curricula and Instructions for Taskers to Label Data: You will design comprehensive training materials and guidelines for taskers responsible for labeling data. Prompt Engineering: You will craft and refine the prompts used to train and evaluate our AI models. Orient the overall Copilot product strategy: You will use metrics and insights to influence the broader Copilot product roadmap. Qualifications Required Qualifications: Bachelor's Degree AND 2+ years experience in linguistics, computer science, writing, editing, education, or library science. OR equivalent experience or research. Preferred Qualifications: Bachelor's Degree AND 5+ years experience in product/service/project/program management. Familiarity with scripting languages or query languages (e.g. Python, SQL). Exceptional public speaking abilities paired with clear and effective communication skills. Experience designing data collection tasks, including instructional design, setting and implementing data quality standards, and ensuring the quality of final deliverables. Experience with Machine Learning or Large Language Models, including experience in prompt engineering. Proficiency in a language other than English to support\u00a0analyzing, annotating, and editing large volumes of language data. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Product Management IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications and processes offers for these roles on an ongoing basis. Product Management IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837010441", "isPrivate": false}, {"id": 1970324837008617, "name": "Member of Technical Staff, AI - Personality & Personalization", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1748537696, "t_create": 1740579882, "ats_job_id": 1970324837008617, "display_job_id": 1970324837008617, "type": "ATS", "id_locale": "1970324837008617-en", "job_description": "Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or TypeScript OR equivalent experience. Experience applying, evaluating, and/or training large language models (LLMs). 3+ years experience developing and deploying live production systems, as part of a product team. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008617", "isPrivate": false}, {"id": 1970324837015672, "name": "Member of Technical Staff, Post-Training", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA", "New York City, NY, USA"], "hot": 1, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1748553045, "t_create": 1747180837, "ats_job_id": 1970324837015672, "display_job_id": 1970324837015672, "type": "ATS", "id_locale": "1970324837015672-en", "job_description": "Overview At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.\u00a0 The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training and improving our pre-trained models to advance the state-of-the-art on a wide variety of internal and external benchmarks. Our goal is to push our models\u2019 capabilities in reasoning and instruction following, math, code, and tool use and agentic tasks, among many other areas. This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:\u00a0 Are passionate about advancing the state of post-training research; Have experience with reward modeling, RL, or other post-training techniques;\u00a0 Will thrive in a highly collaborative, fast-paced environment;\u00a0 Have a high degree of craftsmanship and pay close attention to details, consistently striving for engineering excellence. ; Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Develop data collection, evaluation, and post-training methods for models.\u00a0 Design hypotheses and experiment plans for rapidly iterating on model performance.\u00a0\u00a0 Embody our culture and values .\u00a0 Qualifications Required Qualifications Bachelor's Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 OR equivalent experience.\u00a0\u00a0 Have experience with reward modeling, RL, or other post-training techniques. Preferred Qualifications Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0\u00a0 OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0\u00a0 OR equivalent experience.\u00a0\u00a0 Demonstrated experience in large-scale AI.\u00a0\u00a0 Passionate about conversational AI and its deployment.\u00a0\u00a0 Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0\u00a0\u00a0\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.\u00a0\u00a0\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0\u00a0\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.\u00a0 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.\u00a0 Certain roles may be eligible for benefits and other compensation. 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