Mixed Reality for Learning and Collaboration

Three Space Lab

Fractional In-House Counsel

Account Executive (Contract) - Dubai or Abu Dhabi

Account Executive (Contract)

This is a fractional, hourly role for an in-house counsel to support legal operations. The role involves drafting, reviewing, and organizing legal documents, providing legal research, and building internal legal resources. The counsel will need to stay current on emerging legal trends and assist in liaising with external counsel. The role is ideal for recent law school graduates or experienced legal professionals. The company values efficiency, innovation, and actively encourages the use of AI tools for legal workflows. The position offers the opportunity to work in a fast-moving, tech-driven environment within the proptech and real estate tech space.

<div>About The Company: Three Space Lab is redefining real estate with deeply immersive, on-demand experiences that bring properties to life before they’re realized, transforming the relationship between the present and future of the built environment. Our proprietary VR solution allows users to step into spaces before they’re built—anytime, anywhere. Offering a seamless experience that transcends traditional visualization, we empower stakeholders to make informed, confident decisions with clarity and ease. We deliver a bespoke luxury experience, designed to be within reach and accessible worldwide. Research indicates that women and individuals from underrepresented groups often apply for a job only when they meet 100% of the listed requirements. If you believe you possess the skills necessary for the role but may not meet every qualification, we encourage you to reach out to us anyway. We're eager to hear about your experiences and what drives you, and to explore whether you'd be an excellent addition to our team. &nbsp; Role Overview: As we continue to scale, we’re seeking a thoughtful and detail-oriented legal professional to support our legal operations across commercial, corporate, and employment matters. This fractional, hourly role is ideal for a recent law school graduate, a newly barred attorney, or a more experienced legal professional eager to work with an innovative team at the forefront of the proptech and real estate tech space. We value efficiency and innovation, and we actively encourage the use of AI tools to streamline legal workflows, research, and documentation. If you're excited about applying your legal skills in a fast-moving, tech-driven environment, we’d love to hear from you. &nbsp; Key Responsibilities: <ul> <li>Draft, review, and organize a variety of legal documents and contracts, including NDAs, commercial agreements, SaaS terms, vendor contracts, and partnership agreements.</li> <li>Support the business with legal research and issue-spotting across areas such as&nbsp;employment law, technology law, intellectual property, and real estate compliance.</li> <li>Help build internal legal resources and scalable templates to support future growth.</li> <li>Stay current on emerging legal trends in&nbsp;proptech, startup law, and employment regulations relevant to a distributed team.</li> <li>Assist in liaising with external counsel on matters like corporate structure, financing, and IP filings.</li> <li>Contribute to the development of a legally sound and business-friendly approach to risk and compliance.</li> </ul> Required: <ul> <li>A recent JD graduate (or someone awaiting bar admission) or a more experienced attorney; active license is a plus.</li> <li>Demonstrated interest or coursework in&nbsp;real estate, technology law, employment law, or startups.</li> <li>Strong legal writing and research skills; bonus points for any internship or clinic experience with tech companies, real estate, or employment-related matters.</li> <li>Highly organized and able to manage time across multiple projects.</li> <li>Curious, pragmatic, and capable of translating legal ideas into actionable guidance for a fast-paced business.</li> <li>Comfortable working independently in a part-time, remote-first setting (estimated 5–10 hours/week to start).</li> </ul> &nbsp; Preferred: <ul> <li>Previous in-house experience (including internships) or exposure to real estate or tech-related legal issues.</li> <li>Familiarity with legal tech platforms and AI tools.</li> </ul> &nbsp; What We Value: <ul> <li>A mix of curiosity, ambition, resilience, and optimism, paired with a mindset focused on growth and continuous learning.</li> <li>Highly collaborative, team-first mentality with the ability to work effectively in a remote work environment.</li> <li>Empathy-driven leadership and a passion for building meaningful client relationships.</li> <li>Strong analytical and problem-solving skills to extract actionable insights from customer and sales data. </li> </ul> Why Join Us: <ul> <li>Impact: Be part of redefining the real estate industry with cutting-edge AI and VR technology. Shape the future of how properties are envisioned, experienced, and brought to market.</li> <li>Innovation: Join a trailblazing team at the forefront of immersive technology, creating groundbreaking solutions that transform the built environment.</li> <li>Culture: Work with a passionate, driven team that values creativity, collaboration, and a commitment to excellence.</li> <li>Growth: Thrive in a fast-paced startup environment with unparalleled opportunities for professional development, learning, and career advancement.</li> </ul> &nbsp; &nbsp;</div><div>At Three Space lab, we don't just accept difference—we celebrate and support it. Not only because it's the right thing to do, but because we draw on the differences in who we are, what we've experienced, and how we think to make Three Space Lab thrive. Three Space Lab is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, gender expression, protected veteran status, and any other characteristic protected under applicable State or Federal laws and regulations.</div>

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As a Distinguished Engineer in Machine Learning for Safety at Roblox, you will lead the technical vision and execution of machine learning initiatives to ensure user safety and civility. You will be responsible for crafting and building large-scale machine learning models, mentoring engineers, and collaborating with cross-functional teams. This role involves making technical decisions, ensuring system reliability, and contributing to a safe and inclusive environment. You will report to the VP of Engineering for Trust and Safety.

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<div class="content-intro">Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</div>As a Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will be reporting to the VP of Engineering for Trust and Safety.from a content-focused perspective as the platform scales to serve different age groups and geographic locations. <h2>You Will:</h2> <ul> <li>Own the technical direction and implementation of machine learning solutions for safety-related systems</li> <li>Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity</li> <li>Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement</li> <li>Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness</li> <li>Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding</li> <li>Collaborate with cross-functional teams to define and prioritize the machine learning roadmap</li> </ul> <h2>You Have:</h2> <ul> <li>15+ years of experience delivering and improving large-scale machine learning systems</li> <li>Proven expertise in creating and launching machine learning models from scratch</li> <li>Ability to handle data problems, train models with large datasets, and ensure system reliability at scale</li> <li>Experience with distributed systems, data architecture, and model extraction</li> <li>Strong programming skills and willingness to be hands-on as necessary</li> <li>Prior experience in a leadership role with a technical focus, including mentoring engineering teams</li> </ul> <h2>You Are: </h2> <ul> <li>A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas</li> <li>Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported</li> <li>Passionate about maintaining deep technical expertise while meeting end-user needs</li> <li>Knowledgeable about cutting-edge ML technologies, including LLMs</li> <li>Experienced in NLP or computer vision (preferred)</li> <li>Familiar with maintaining and evolving safety systems at scale (preferred)</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.</div><div class="title">Annual Salary Range</div><div class="pay-range">$391,590—$448,990 USD</div></div></div><div class="content-conclusion">Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted). You’ll Love: <ul> <li>Industry-leading compensation package</li> <li>Excellent medical, dental, and vision coverage</li> <li>A rewarding 401k program</li> <li>Flexible vacation policy (varies by exemption status)</li> <li>Roflex - Flexible and supportive work policy </li> <li>Roblox Admin badge for your avatar</li> <li>At Roblox HQ: </li> <ul> <li>Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks</li> <li>Onsite fitness center and fitness program credit</li> <li>Annual CalTrain Go Pass</li> </ul> </ul> Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.</div>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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