Job Posts

Director, Responsible AI Policy & Practice

Overview

Microsoft is committed to ensuring that we develop and deploy our Artificial Intelligence (AI) technologies in ways that uphold our AI principles and warrant people’s trust.  The Office of Responsible AI (ORA) plays a leading role in this effort as part of Microsoft’s Corporate, External, and Legal Affairs (CELA) team.  With a cross-company mandate, we establish internal policy for how our engineering and sales teams implement responsible AI practices, enable our community of Responsible AI Champs to support the rollout of our responsible AI program, and review engineering and customer projects that require additional input based on potential impact.  We also contribute to new laws, norms, and standards to advance responsible AI for the benefit of society at large. This Director role would be part of ORA’s Internal Policy & Practice team and support the implementation efforts for our Responsible AI Standard.

Responsibilities

  • Implement policies and measurement strategies for generative AI harms, working in collaboration with AI platform, research, and data science teams.  
  • Design, develop, and program methods, processes, and systems to consolidate and analyze Responsible AI research and data.
  • Translate Responsible AI Standards, research, and policy into effective controls and scalable implementation practices. This includes consulting stakeholders and designing repeatable frameworks, templates, and guidance for machine learning teams across the company to use.  
  • Integrate industry-wide responsible AI policy and ethics insights and best practices to anticipate risks and identify technical blockers to the implementation of the Responsible AI Standard. Leverage technical expertise to develop partnerships across disciplines to lead the development of new or modified tools, technologies, and methods to mitigate risks and overcome blockers.  
  • Drives development and implementation of automation to support teams across the company comply with the Responsible AI Standard.  

Other:

Embody our Culture and Values

Qualifications

Required Qualifications

  • Bachelor’s Degree in Business, Operations, Finance or related field AND 8+ years work experience in program management, process management, process improvement
  • OR equivalent experience

Preferred Qualifications

  • A degree or academic research related to policy development and implementation, particularly related to technology and impact on people and society.
  • Experience in in large-scale computing, modeling, or applied research or data science.
  • OR Bacher’s Degree in Statistics, Mathematics, Computer Science or related field.  
  • Experience working in or with a large, matrixed organization.
  • Highly developed written and oral communication skills.
  • Proven track record of being able to engage and influence a variety of stakeholders. A key attribute will be the ability to work across multiple disciplines and cultures.
  • Demonstrated record of being an effective team player dedicated to collective successes. The ability to promote cooperation and solve problems in a timely, creative, and professional manner. Proficiency at working closely and collaboratively with multiple departments and executives, and in cross-functional teams.
  • Ability to navigate ambiguity and adapt to rapidly changing environments and demands.
  • Record of experimentation, learning from both successes and failures.
  • Demonstrated commitment to the company’s core values, including a commitment to high ethical standards, unquestioned integrity, and a commitment to advancing the company’s diversity & inclusion commitments.

Business Program Management IC6 - The typical base pay range for this role across the U.S. is USD $124,800 - $266,800 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 $159,000 - $292,200 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

[Demo post only]

Member of Technical Staff, Product Engineer, Web

About the Role

As an expert in full-stack web development, you have an outstanding track record of building software ranging from fast prototypes to high-quality cross-platform products, with a high degree of autonomy. You don’t shy away from ambiguity, but instead have the ability to build products and features based on a high-level description of problems while collaborating with a range of stakeholders. You are excited about AI and want to help build innovative products that allow people to interact with the latest-generation AI.

This is a good role for you if your experience aligns with these profiles:

  • Full-stack web development with Python/Django/React and/or Typescript/Node/Next.js experience
  • Front-end focused web development with significant experience with animation and mobile web optimization, and experience with React and/or Next.js

We do not require a specific university degree or years of experience, instead we’re excited to see what you’ve been building. Please send us examples of your best work, including but not limited to links to open source contributions, personal projects or a cover letter describing past projects that you are proud of.

Employee Pay Disclosures

At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. The pay range for this position in California, is estimated to fall in the base range of approximately $150,000 - $250,000. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.

Where We Work

We work in a hybrid model. During the week we’re in the office on a flexible basis, often a few days per week. We are currently hiring in Palo Alto and London, although we do sometimes make exceptions.

We work on a 6 week cycle. Every 7th week, we convene together in person as a company to brainstorm, bond and build.

How We Work

We value excellence and ownership. Our organizational structure focuses on individual responsibilities rather than management hierarchies. Everyone is expected to lead by doing. We are big believers in the unreasonable effectiveness of highly talented Individual Contributors who are given all the resources, space and ownership to move fast and deliver outstanding results.

Teamwork and generosity are at our core. Our culture celebrates positive challenges, asking questions, learning and actively supporting one another. This mentality of shared respect and purposeful teamwork is key to our success. We equally value all technical and non-technical contributions.

Constructive disagreement is essential. We appreciate when team members challenge assumptions, put forward new ideas, or encourage us to move faster or slower. Openness, honesty and kindness make us great.

Feedback is our ground truth. We have a tight feedback loop between the user experience and our AI creation process. Quantitative and qualitative data drives our priorities. This goes for internal culture too. Everyone has ownership and visibility into key decisions and progress.

Writing creates accountability. Whether on internal communication tools or in team memos, we are strong communicators with a special focus on the written word.

We deeply value time to reset outside of work. We encourage one another to constantly take time to recharge and always focus on maintaining a healthy work-life balance.

Engineering at Inflection

We are a vertically integrated AI studio. This means that our entire technology stack – from large foundational model pre-training to the user interface – is built in-house, with each of the components co-optimized to deliver the best AI experiences. We have built one of the most advanced large language models in the world, based on multiple novel and proprietary innovations.

We believe in scale as the engine of progress in AI, and we are building one of the largest supercomputers in the world to develop and deploy the new generation of AIs.

We wear multiple hats and don’t distinguish between engineering and research. We continuously explore and exploit, creating new and perfecting existing techniques and solutions. User feedback is our North Star.

Our Benefits

We offer generous benefits to ensure a positive, safe, inclusive and inspiring work environment for all Inflectioneers.

  • Physical office space in Palo Alto and London, along with reimbursements for work from home expenses and co-working spaces
  • Unlimited paid time off
  • Parental leave and flexibility for all parents and caregivers
  • Generous medical, dental and vision plans for US employees
  • Compliance with country-specific benefits for non-US employees
  • Visa sponsorship for new hires
  • Avenues for personal growth such as coaching, conference attendance, or specific trainings

Diversity & Inclusion

We are building personal AIs that we hope will serve everyone. We are deeply committed to representing the full extent of the human experience inside our AI Studio. This means that everyone from any walk of life is welcome if you have the right skills. We populate diverse candidate pools for all open roles.

[Demo post only]

Member of Technical Staff, Data Engineer

About the Role

You are an experienced data practitioner who will work closely with AI and infrastructure staff to improve our AI through better data. You will be responsible for collecting AI training data, optimizing how we use that data, and analyzing data to inform product direction. Data is key to Inflection’s success, so your work will have a massive impact and will directly improve our models and product.

You are expected to have experience building large scale data processing pipelines, using tools like PySpark, Beam, or Flink. Expertise in ML is not necessary, but a familiarity with Machine Learning and NLP and a willingness to learn more on the job are important. A track record of adapting to new domains and a desire to use data to improve products are strong indicators for success in this role.

You may have relevant experience as a Data Scientist, ML Engineer, Data Engineer or Software Engineer, but will be expected to apply your data skills to every step of building our large language model product.

Employee Pay Disclosures

At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. The pay range for this position in California, is estimated to fall in the base range of approximately $150,000 - $250,000. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range.

Where We Work

We work in a hybrid model. During the week we’re in the office on a flexible basis, often a few days per week. We are currently hiring in Palo Alto and London, although we do sometimes make exceptions.

We work on a 6 week cycle. Every 7th week, we convene together in person as a company to brainstorm, bond and build.

How We Work

We value excellence and ownership. Our organizational structure focuses on individual responsibilities rather than management hierarchies. Everyone is expected to lead by doing. We are big believers in the unreasonable effectiveness of highly talented Individual Contributors who are given all the resources, space and ownership to move fast and deliver outstanding results.

Teamwork and generosity are at our core. Our culture celebrates positive challenges, asking questions, learning and actively supporting one another. This mentality of shared respect and purposeful teamwork is key to our success. We equally value all technical and non-technical contributions.

Constructive disagreement is essential. We appreciate when team members challenge assumptions, put forward new ideas, or encourage us to move faster or slower. Openness, honesty and kindness make us great.

Feedback is our ground truth. We have a tight feedback loop between the user experience and our AI creation process. Quantitative and qualitative data drives our priorities. This goes for internal culture too. Everyone has ownership and visibility into key decisions and progress.

Writing creates accountability. Whether on internal communication tools or in team memos, we are strong communicators with a special focus on the written word.

We deeply value time to reset outside of work. We encourage one another to constantly take time to recharge and always focus on maintaining a healthy work-life balance.

Engineering at Inflection

We are a vertically integrated AI studio. This means that our entire technology stack – from large foundational model pre-training to the user interface – is built in-house, with each of the components co-optimized to deliver the best AI experiences. We have built one of the most advanced large language models in the world, based on multiple novel and proprietary innovations.

We believe in scale as the engine of progress in AI, and we are building one of the largest supercomputers in the world to develop and deploy the new generation of AIs.

We wear multiple hats and don’t distinguish between engineering and research. We continuously explore and exploit, creating new and perfecting existing techniques and solutions. User feedback is our North Star.

Our Benefits

We offer generous benefits to ensure a positive, safe, inclusive and inspiring work environment for all Inflectioneers.

  • Physical office space in Palo Alto and London, along with reimbursements for work from home expenses and co-working spaces
  • Unlimited paid time off
  • Parental leave and flexibility for all parents and caregivers
  • Generous medical, dental and vision plans for US employees
  • Compliance with country-specific benefits for non-US employees
  • Visa sponsorship for new hires
  • Avenues for personal growth such as coaching, conference attendance, or specific trainings

Diversity & Inclusion

We are building personal AIs that we hope will serve everyone. We are deeply committed to representing the full extent of the human experience inside our AI Studio. This means that everyone from any walk of life is welcome if you have the right skills. We populate diverse candidate pools for all open roles.

[Demo post only]

Machine Learning Engineer, Moderation

About the Team

The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society. The work encompasses a wide range of research and engineering projects from detection to model training to model evaluation and red-teaming, aiming to reduce unwanted use cases and ensure model behavior within our safety standard and legal compliance. The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

To help API users monitor and prevent unwanted use cases, we developed the moderation endpoint, a tool for checking whether content complies with OpenAI's content policy. Developers can thus identify content that our content policy prohibits and take actions (e.g. block it). We seek a Machine Learning Engineer to help design and build a robust pipeline for data management, model training and deployment to enable a consistent improvement on the Moderation model.

In this role, you will:

  • Design, develop and maintain a robust and scalable data management pipeline and set up standards for versioning and data quality control. The pipeline should be able to handle data relabeling requests due to content policy changes.
  • Build a pipeline for automated model training, evaluation and deployment, including active learning process, routines for calibration and validation data refresh etc.
  • Work closely with stakeholders from product, engineering, content policy on a long-term improvement over the moderation models, for both external release and internal use cases across a variety of projects on model safety.
  • Research on the latest techniques and methods in deep learning and natural language processing to improve the moderation model across a collection of unwanted content categories.
  • Experiment on data augmentation and data generation methods to enhance the diversity and quality of training data.
  • Experiment and design an effective red-teaming pipeline to examine the robustness of the model and identify areas for future improvement.
  • Conduct open-ended research to improve the quality of collected data, including but not limited to, semi-supervised learning and human-in-the-loop machine learning.

You might thrive in this role if you:

  • Have 3+ years industry experience as a Machine Learning Engineer or Software Engineer, working on building data pipelines, training and deploying machine learning models in production on a daily basis.
  • Care deeply about AI safety and passionate about building the best deep learning empowered moderation model to effectively detect unwanted content.
  • Have a strong belief in the criticality of high-quality data and are highly motivated to work with the associated challenges.
  • Have experience working in large distributed systems, deep learning or/and natural language processing is a big plus.
  • Love working with a team.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

[Demo post only]

Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

  • Medical, dental, and vision insurance for you and your family
  • Mental health and wellness support
  • 401(k) plan with 4% matching
  • Unlimited time off and 18+ company holidays per year
  • Paid parental leave (20 weeks) and family-planning support
  • Annual learning & development stipend ($1,500 per year)

Annual Salary Range

$200,000—$370,000 USD

Research Scientists at Google DeepMind

The role

Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

Having pioneered research in the world's leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning, computational neuroscience and AI.

Drawing on expertise from a variety of disciplines including deep learning, reinforcement learning, computer vision, language, neuroscience, safety, control, robotics and multi-agent, our Research Scientists are at the forefront of groundbreaking research.

Key responsibilities:

  • Design, implement and evaluate models, agents and software prototypes of perceptual processing.
  • Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
  • Suggest and engage in team collaborations to meet ambitious research goals.
  • Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
  • Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About you

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

  • PhD in a technical field or equivalent practical experience.

In addition, the following would be an advantage:

  • PhD in machine learning, neuroscience or computer science.
  • Relevant experience to the position such as post doctoral roles, a proven track record of publications, or deep neural network architectures.
  • A real passion for AI!

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

[Demo post only]

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