We are seeking a Senior Communications Advisor to lead the development and execution of high-level communication strategies. This role requires a professional capable of managing sensitive information and translating complex technical goals into compelling narratives for philanthropists, board members, general public, and the global scientific community.

The successful candidate will ensure that every touchpoint, from social media to executive presentations, reflects LawZero’s commitment to safe-by-design AI and its position as a global public good.

Key responsibilities

Accountability

• Provide high-level input to the marketing/communications strategic plan and support its deployment
• Support and work in tandem with the VP, Marketing and Strategic Communications
• Work effectively with key external stakeholders including media, consultants, agency.
• Develop and implement communications strategies to achieve the organization deliverables

External communications & content development

• Develop and draft high-impact external materials, including press releases, newsletters, event programs, and executive letters.
• Oversee all distributed communications to ensure consistent brand messaging and a unified organizational direction.
• Bridge the gap between technical research and mission-driven storytelling for high-stakes stakeholders.

Internal communications & talent support

• Develop and execute internal communication strategies to ensure the team remains informed, engaged, and aligned with LawZero’s evolving strategic roadmap.
• Curate and manage internal programming, including panels and round tables featuring external experts to foster knowledge sharing and global connectivity.
• Partner closely with the Talent Team to enhance employer branding and recruitment marketing, helping to attract and retain world-class researchers and professionals.
• Support the Talent Team with internal announcements, culture-focused content, and documentation that reinforces LawZero’s values and mission.

Digital strategy & Platform Management

• Maintain LawZero’s social media platforms
• Participate in the maintenance and content strategy of the LawZero website to ensure information is current and impactful.
• Undertake special projects and assignments as required by the leadership team.

Day-to-day

• Work closely with the VP, Marketing and Communications Strategy to align all activities with mission delivery.
• Manage strict timelines and project delivery for multiple concurrent initiatives.

Skills and qualifications

• Education: Communications, Public Relations, Public Affairs, or a related field.
• Experience: 7+ years of relevant professional experience, or a combination of education and experience that contributes directly to the position.
• Exceptional writer and know how to connect with different audiences and adapt your tone accordingly in both English and French.
• Discretion & precision: An ability to work with a high level of accuracy and manage sensitive or confidential information with total discretion.
• Results-driven: Proven ability to manage projects from conception to completion in a fast-paced environment.
• Experience in stakeholder engagement involving philanthropists, the government, and the public.

What we offer

• The chance to contribute meaningfully to a globally critical initiative
• Comprehensive health benefits (including mental health and wellness management account)
• 20 days of vacation per year upon start
• Employer contribution of 4% to your retirement savings, with no required employee match
• Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
• A team of passionate world-class experts in their field
• A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

We are seeking a Legal Counsel to provide support across the legal, governance, and compliance functions for LawZero. This role reports to the General Counsel & VP, Legal & Corporate Affairs.

Key responsibilities

• Draft, review, and manage a range of legal agreements, including vendor and service provider agreements, partnerships, grant and donation agreements, IP and data licensing agreements, employment agreements, and confidentiality agreements. Lead the implementation of scalable processes for contract operations.
• Work with the research, product, and engineering teams to ensure legal and responsible AI considerations are embedded in the research and product development lifecycle. Identify and address regulatory, privacy, and other legal risks related to the development of frontier AI technologies.
• Act as a key support for the Corporate Secretary function, assisting with logistics for the Board of Directors, Advisory Councils, and Committees. Prepare meeting agendas, minutes, documents, resolutions, and ensure appropriate post-meeting follow-ups to ensure implementation of decisions. Support the VP in matters related to LawZero's corporate structure and governance.
• Assist with establishing and managing the organization's intellectual property strategy, including implementing internal practices and policies with the research, product, and engineering teams.
• Support the development, deployment, and monitoring of practices and policies for data sourcing and usage. Work closely with the data team to implement data governance practices and processes. Champion compliance with privacy and data protection regimes.
• Monitor developments in national and international AI legal frameworks and voluntary standards. Assist the VP with LawZero's AI governance efforts and support leadership in internal and external initiatives involving AI governance and policy.
• Monitor and research evolving regulatory requirements and establish scalable internal policies.

Skills and qualifications

• 2 to 5 years of experience practicing law
• Experience in a technology or research environment will be considered an asset
• A pragmatic and solution-oriented approach
• A no-ego, roll-up-your-sleeves attitude and willingness to work on a variety of tasks
• Member in good standing with the Barreau du Québec
• Fully bilingual (French and English)

What we offer

• The chance to contribute meaningfully to a globally critical initiative
• Comprehensive health benefits (including mental health and wellness management account)
• 20 days of vacation per year upon start
• Employer contribution of 4% to your retirement savings, with no required employee match
• Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
• A team of passionate world-class experts in their field
• A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

We are seeking a machine learning (ML) developer (applied research) to join our team working on the Scientist AI. In this role, you will work closely with ML research scientists and product stakeholders to start applying the Scientist AI to real-world problems.

Key responsibilities

• Accelerate applied research, model training and inference, and iterate on implementing models for real-world applications (that will form the basis of LawZero’s future solutions offerings).
• Design and implement workflows for research experiments across simulated environments and real-world applications.
• Develop datasets, tooling, dashboards, and libraries to adapt, monitor, interpret, and evaluate models in the context of real-world applications.
• Establish, document, and maintain best practices for ML model development workflows.
• Redesign and adapt research ideas and prototypes into robust production-grade tools and solutions.
• Deeply understand customer use-cases to inform training strategies and surface edge cases.
  
  

Skills and qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
• 3+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM)
• Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• Experience building new ML products from scratch, or based on research prototypes.
• Experience working alongside researchers is a bonus.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

We are seeking a Technical Recruiter to support the growth of our rapidly expanding organization, with a focus on teams working in the fields of artificial intelligence, machine learning, and AI Safety.

Key responsibilities

• Manage several 360-degree recruitment mandates simultaneously, from defining the need to signing the offer.
• Design and execute targeted and creative sourcing strategies to identify and engage niche talent (Research Developers, Machine Learning Researchers, AI Safety Experts, etc.).
• Approach, activate, and support passive candidates throughout the recruitment process.
• Develop comprehensive research plans: profile targeting, market mapping (local and international), competitive analysis, and creation of specialized talent pools.
• Contribute to market monitoring and talent positioning in the AI and technological markets.
• Collaborate with hiring managers, researchers, and technical leadership to clarify needs, prioritize roles, and define target profiles.
• Manage the complete offer process: preparation, negotiation, presentation, and closing.
• Offer a consistent, smooth candidate experience tailored to the level of expertise of the profiles encountered.
• Participate in continuous improvement initiatives with internal teams (HR, compensation, engagement, accessibility) to optimize recruitment practices and tools.

Skills and qualifications

• A minimum of 7 years experience recruiting technical profiles, combined with a strong understanding of the language and challenges specific to AI research.
• Bachelor's degree in a relevant field. 
• Comfortable evolving in a fast-paced (startup), rapidly transforming environment with grey areas and shifting priorities.
• Excellent written and oral communication, in both French and English.

What we offer

• The chance to contribute meaningfully to a globally critical initiative
• Comprehensive health benefits (including mental health and wellness management account)
• 20 days of vacation per year upon start
• Employer contribution of 4% to your retirement savings, with no required employee match
• Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
• A team of passionate world-class experts in their field
• A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key Responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the use of large-scale models in distributed computing environments.
• Investigate performance bottlenecks, profile research experiment code, debug reported issues, and optimize the utilization of computing resources.
• Develop tools and libraries to simplify and orchestrate the use of distributed computing resources for research experiments.
• Establish, document, and maintain best practices for large-scale, distributed ML model development workflows.

Skills and Qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master’s or PhD) related to machine learning or distributed ML systems is preferred but not required if the candidate demonstrates exceptional abilities and experience.
• 3+ years of experience in designing and implementing distributed ML training frameworks, with recent experience using e.g. Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM,  and/or verl.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM).
• Experience with GPU profiling tools (e.g. PyTorch profiler, PyProf, NVIDIA Nsight).
• Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based on jurisdiction.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits (including mental health and wellness management account)
• 20 days of vacation per year upon start
• Employer contribution of 4% to your retirement savings, with no required employee matching
• Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
• A team of passionate world-class experts in their field
• A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

We are seeking an AI Safety Researcher with an ML focus, to join our team working on the Scientist AI agenda. In this role, you will contribute to our plan using your expertise in AI safety and your knowledge and experience of machine learning.

Key responsibilities

• Help clarify which AI safety research questions are central to the Scientist AI agenda.
• Analyze proposed solutions to these research questions and develop novel solution ideas.
• Propose, design, and implement novel ML algorithms and experiments aimed at solving or testing complex AI safety problems.
• Scrutinize the Scientist AI agenda and its fit into a bigger strategic picture for mitigating AI risk, in order to guide and prioritize experiments to answer critical safety questions efficiently.

Required skills and qualifications

• PhD in a relevant field is preferred but not required if the candidate demonstrates exceptional abilities or equivalent experience.
• Research experience in technical AI safety, ideally with a focus on AGI safety.
• Experience proposing, designing and running ML experiments.
• Proficiency with ML frameworks such as PyTorch or Tensorflow.
• Excitement to contribute to and shape the Scientist AI agenda. 
• Ability to work in a collaborative environment and contribute to collective research goals.
• Ability to discuss complex findings with team members from diverse technical backgrounds.

Preferred skills and qualifications

• Experience in some of the following AI safety research areas: agent foundations, AI control, frontier AI safety, eliciting latent knowledge, externalised reasoning, ambitious alignment schemes.
• Machine learning research publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, etc.).
• Experience fine tuning and post training language models.

What we offer

• The opportunity to contribute to a unique mission with a major impact
• Comprehensive health benefits
• A minimum of 20 days vacation per year upon start
• A minimum retirement savings employer contribution of 4%
• Generous flexible benefits designed to contribute to your well-being
• A team of passionate experts in their field
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety research agenda. In this role, you will develop and evaluate probabilistic inference methods, with a focus on amortized inference, translating theoretical insights into practical implementations.

Key responsibilities

• Develop amortized inference methods suitable for high-dimensional discrete and continuous distributions.
• Develop parameter- and structure-learning methods for large probabilistic graphical models that benefit from amortized probabilistic inference.
• Design evaluation strategies for methods that rely on probabilistic inference.
• Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
• Translate theoretical proposals into high quality implementations in a programming language such as Python.
• Analyze and interpret experimental results to steer future research directions.
• Communicate complex findings effectively to various stakeholders.
  

Skills and qualifications

• Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
• A minimum of 3 years of experience in deep learning research.
• Expertise in probabilistic inference is required, in addition to expertise in one or more of the following:
  • Bayesian inference
  • Sampling-based approximate inference methods
  • Amortized inference methods (including variational inference methods or Generative Flow Networks)
  • Parameter- and/or structure-learning in probabilistic graphical models (including causal models)
  • Reinforcement learning
  • Optimal control
• Strong background in mathematics.
• Proven experience in developing and implementing machine learning models.
• Proficiency in programming languages such as Python, and experience with  ML frameworks like PyTorch or TensorFlow.
• Excellent analytical and problem-solving skills, with a demonstrated ability to think critically about complex systems.
• Strong communication skills, both written and verbal, with the ability to explain complex ideas to diverse audiences.
• Track record of contributing to high-quality research in probabilistic inference or related fields.
• Ability to work collaboratively in a team environment while also being self-motivated and independent.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda. In this role, you will design and implement innovative ML models aimed at solving advanced AI safety problems.

Key responsibilities

• Propose, design, and implement novel ML models tailored to solve complex AI safety problems.
• Collaborate with mathematicians and other specialized research scientists to integrate theoretical advancements into practical ML algorithms and models.
• Adapt and fine-tune existing frontier models to enhance their applicability to specific settings.
• Design and implement experimental protocols and evaluation frameworks to validate hypotheses and ensure robust and reproducible results, including at the scale and complexity of frontier models.
• Analyze and interpret experimental data in order to steer future research questions and objectives.
• Benchmark and optimize model performance and efficiency along with ML engineers to ensure the optimal usage of computing resources over the course of long experiments.
• Communicate findings and synchronize work with other researchers and engineers.

Required skills and qualifications

• Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
• 3-5 years of experience in deep learning research projects, in particular with frontier models.
• Proven experience in the training, adaptation, and/or fine-tuning of frontier models across a variety of complex scenarios that involve, for example, transfer learning, domain adaptation, or meta learning.
• Expertise in the integration and use of ML libraries such as PyTorch, TensorFlow, or JAX for the development, training, and evaluation of ML models, ideally in distributed computing environments.
• Strong experience in Python software development, in the use of version control, collaboration tools, and experiment management and tracking tools.
• Strong communication skills, both written and verbal, with the ability to exchange ideas with researchers across different disciplines.
• Ability to work collaboratively in a team environment while also being self-motivated and independent.

Preferred skills and qualifications

• Experience analyzing the behavior of frontier models in safety-critical contexts.
• Experience in the design and development of model alignment strategies or benchmarks.
• Experience with natural language processing or probabilistic graphical models.
• A track record of contributing to high-quality research projects in deep learning.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

We are seeking a machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments.
• Design and implement workflows for research experiments across toy scenarios and large scale projects.
• Develop tools and libraries to optimize the use of computing resources.
• Establish, document, and maintain best practices for ML model development workflows.

Skills and qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
• 3+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with containerization tools (e.g., Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.