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Jobs Posted on the Whova Community Board of PAI's Third Annual All Partners Meeting

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Director of Machine Learning Platform
Affectiva
We are looking for a Director of ML Platform to lead our team of accomplished ML architect, platform engineers, ML engineers and data engineers, to build world-class machine learning solutions. You are responsible for empowering data and AI scientists by providing the platform and a collection of services to greatly improve scientists productivity and innovation. Your responsibilities include, but not limited to:

Structure, manage, mentor data and ML engineering teams.
Understand, at a deep level, business and product strategies, in order to develop data & machine learning platform strategy and road map to help drive business outcomes.
Manage the ML lifecycle, including data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment and end-to-end workflow management.
Enable ML and Deep Learning capabilities at vast scale by developing the necessary systems, tools, technologies and integrations as part of the ML Platform.
Lead the efforts to build capabilities around data programming, data augmentation (transformation function), and active learning (slicing function) for training data.
Engineer the de-bias, ethics, security and compliance aspects of ML pipeline, centralized feature store, model meta store, inference store, etc.
Work with partners and stakeholders to identify data acquisition opportunities, create requirements, transform large volume data into AI ready high quality relevant datasets.
Grow proprietary Human Perception and Understanding Data, including global emotion dataset, spontaneous real-world audio-visual data, and in-cabin sensing metrics to have a holistic understanding of humans.
Achieve quality ML data using a triad of people, process, and technology.
Identify, assess, and implement 3rd party technologies that may complement Affectiva capabilities, and accelerate advancement of critical features.
Maintain strong collaborative relationships with 3rd party technology providers.

Link: https://affectiva.applytojob.com/apply/BgIljgI0rd/Director-Of-ML-Platform
Emerging Threats and Opportunities, Program Coordinator
WITNESS
Help us ensure that emerging technologies help, not hinder, human rights: join WITNESS’ team working on Emerging Threats and Opportunities, identifying proactive approaches that protect and uphold marginalized voices, civic journalism, and human rights as emerging technologies such as artificial intelligence (AI) intersect with the pressures of disinformation, media manipulation, and rising authoritarianism.

This is a junior-mid level position working closely with WITNESS’ program director: you should have an experience/practical understanding of the intersection of technology, human rights, and disinformation; a comfortable understanding of AI and ML issues informed by either your own learning or academic background, and an ability to work hard to drive forward a fast-moving program. We strongly encourage diverse applicants, noting the existing power structures in the technology world and who they harm.

Our current primary focus is on proactive responses to how AI and deep learning systems are increasingly able to create convincing simulations of authentic media, including sophisticated audio and video manipulations called “deepfakes,” and more subtle manipulations. These media forms have the potential to amplify, expand, and alter existing problems around trust in information, verification of media, and weaponization of online spaces. You can learn more about our work in this area here
Link: https://www.witness.org/program-coordinator-emerging-threats-and-opportunities/
Chief Program Officer (AI for social impact)
DataKind
(more detail in link below)

DataKind is a non profit dedicated to harnessing the power of data and AI in the service of humanity. We've spent the last 7 years teaming our network of 30000 pro bono data scientists with non profits and social institutions to understand if and how AI can serve their mission, ethically and responsibly. We now have an opportunity to move from individual ML projects to tackling issue area challenges, such as reducing infant mortality. We are looking for a Chief Program Officer to lead this new strategy and design and execute our international programs across our 5 chapters around the world. A member of the executive team reporting to the CEO and working closely with the COO, the CPO will blend experience with ML with programs design and execution, tied together by empathy for all our stakeholders, be they technologists, non profits, governments, companies, or the general public that wants to see AI used for humanity.
Link: https://www.on-ramps.com/jobs/1630
UK Public Policy Manager
DeepMind
This is an opportunity to join an outstanding team of people in a complex, mission-driven company. As DeepMind continues to grow, we are now seeking a highly talented and hardworking individual to join our Ethics and Society team.

The successful candidate will have proven experience of UK policy development and stakeholder management - and be able to make a meaningful contribution to our policy strategy in the UK. Our ideal candidate will be motivated by the opportunity to contribute to a policy environment that supports our efforts to use our technologies for widespread public benefit and scientific discovery.
Link: https://deepmind.com/careers/jobs/1878964
FAT* ML research and engineering roles
Sony
We are looking for Machine Learning researchers and engineers to build up a new R&D team focused on AI ethics in particular Fairness, Accountability and Transparency. The team is situated inside headquarter and is expected to drive Sony group wide initiatives for AI ethics research and development.

Sony is a major electronics, entertainment and finance conglomerate. Sony continues to innovate in all industries: Mobile Communications, Games & Network Services, Imaging Products & Solutions, Home Entertainment & Sound, Semiconductor, Components, Movies, Music, Finance and Other Businesses. Artificial Intelligence and Machine Learning are one of the key drivers in Sony’s business success and the company has been at the forefront of developing Machine Learning technologies for finance, manufacturing, music and entertainment among many other.

The diversity of Sony's business makes it an exciting company to work on AI ethics problem. Research and development at Sony can have tangible effects on areas as diverse as financial products, global HR, imaging and facial recognition technology, robotics and others

Skills and background (for full time positions)
* PhD or similar experience in Machine Learning
* Prior R&D work on fairness, accountability, transparency and explainability

Responsibilities (for full time positions)
* research new algorithms and systems
* propose and manage university open collaboration funding projects
* discuss current research trends and policy problems with diverse ML R&D teams across the global Sony group
* shape Sony group wide AI ethics guidelines

Roles
* ML internships (3-6month)
* ML Researchers and Senior Researchers
* ML Engineers and Senior Engineers

Location: Sony Headquarter, Tokyo, Japan

If you are interested in discussing opportunities please reach out to me at PAI all partners meeting or afterwards via michael.spranger@sony.com
Privacy and Data Policy Manager, AI Research
Facebook
Facebook is looking for a Privacy & Data Policy Manager with expertise in privacy, ethical and public policy issues related to Artificial Intelligence (AI) and Machine Learning (ML) research, to join our Privacy and Data Policy team. That team's mission is to develop privacy-protective and innovative approaches to data that help bring the world closer together and improve people's lives." One of the team’s tasks is to help Facebook’s AI teams conduct breakthrough research in a responsible way, connecting that research to broader AI policy debates and developments. In this role, you'll help shape Facebook Artificial Intelligence Research (FAIR) approach to privacy, ethical and policy issues across its research publications, data sharing practices and open source initiatives.

You'll work closely with FAIR researchers, scientists and engineers, as well as with product managers, designers and cross-functional partners across the company to build privacy into the research we conduct and the products we build. You'll serve as a subject matter expert for FAIR, advising our teams of scientists and researchers on external policy considerations and implications, mitigating risks and identifying opportunities to advance and promote our AI research.

The ideal candidate for this role is a self-starter, a good team player, and creative problem solver that is able to switch easily between detailed work and high-level strategic thinking. This candidate will be deeply familiar with research, privacy and public policy issues in AI. This candidate ideally will also have academic research experience in AI, along with a meaningful understanding of stakeholders and perspectives in the academic, research and privacy community.

This is a full-time position located at our headquarters in Menlo Park, California.
Link: https://www.facebook.com/careers/jobs/2495711993994258/?ref=a8lA00000004CJ6IAM
Governance of AI Fellowship
Centre for the Governance of AI, Future of Humanity Institute
The Centre for the Governance of AI is seeking exceptional researchers to carry out collaborative research with our interdisciplinary team for a limited period of three months. Participants in the Fellowship will have the opportunity to produce their own research in a fast-growing field, while gaining expertise in parts of our Research Agenda.

We are interested in candidates from a broad set of disciplines including International Relations, Public Policy, Political Science, History, Economics, Sociology, Law, Philosophy, Mathematics, and Computer Science. Technical expertise in or familiarity with machine learning is useful but not required. Previous successful applicants have been, employees at think tanks, postdocs, PhD students, and particularly promising Master’s students.

This round of applications close October 13th 23:59 BST.
Link: https://www.fhi.ox.ac.uk/governance-of-ai-fellowship/
Partner Communications Manager
Partnership on AI
The Partnership on AI (PAI) is seeking a communications professional to increase member engagement and operationalize Partner communications for the world's leading AI community. This partner communications manager will deliver on the production and distribution of Partner communication channels - including email, Partner intranet, Slack, and other mediums. This role has been designed to increase member engagement, support members to adopt PAI-developed best practices, and operationalize Partner communications. A successful partner communications manager requires an ability to grasp AI industry concepts, think strategically about message dissemination, and distill complex messages concisely in an expertly written fashion.

The candidate must be able to speak to a diverse mix of academics, civil society professionals, funders, researchers, and industry executives to increase membership engagement. Applicants should have experience in understanding the interests of our corporate industry members while balancing the distinct needs of civil society and academic institutional members as well. The ideal candidate should understand the implications of our research to assist the communications team in disseminating that work into operational practice with our Partners.
Link: https://app.trinethire.com/companies/23658-partnership-on-artificial-in/jobs/18474-partner-communications-manager
Policy Counsel for AI and Ethics
Future of Privacy Forum
FPF is seeking to hire a Policy Counsel to support its work on: 1) artificial intelligence and machine learning; and 2) emerging ethical questions relating to privacy and data protection. The proliferation of data collection has encouraged innovative uses of information in all sectors of society. Individuals’ personal data is increasingly used by algorithmic systems that employ machine learning and artificial intelligence technologies; this provides benefits to consumers, businesses, and society, but can also create privacy risks. Further, the analysis of personal data once done by researchers in academic institutions has been embraced by a rapidly growing number of companies, not-for-profit organizations, and governments. FPF’s Policy Counsel for Artificial Intelligence & Ethics will support the organization’s portfolio of projects exploring the possible harms and the potential frameworks, models, and standards to advance valuable research opportunities across sectors while ensuring the ethical collection and use of data.

Key Duties: help define a strategic vision for FPF’s ethics portfolio; undertaking independent research, analysis, and writing on ethical, legal, and policy issues presented by emerging technologies, including automated decision making systems; leading outreach and collaboration with interested FPF stakeholders, interest groups, civil society, relevant government agencies, academics, and other key partners; and organizing events and meetings with stakeholders, both in person and virtual

Qualifications:

J.D. or Masters degree in a related field (or equivalent experience)
2-5 years’ experience in relevant legal, policy, or technical positions with specific knowledge of questions relating to ethics
Basic understanding of Artificial Intelligence/Machine Learning technology (highly desired)
Familiarity with related U.S. and European legislative and regulatory privacy laws
Excellent verbal and written communication skills
(See link for more)
Link: https://fpf.org/policy-counsel-artificial-intelligence-ethics/
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