Assistant Professor Jobs

MongoDB is the next-generation database that helps businesses transform their industries by harnessing the power of data. The world’s most sophisticated organizations, from ground breaking startups to the largest companies use MongoDB to build applications never before possible. We're looking for a high-energy, detail-oriented and hands-on individual to join the Revenue Team as a Senior Accountant, Technical Revenue. We are looking to speak to candidates who are based in Austin, Palo Alto or NYC for our hybrid working model and will primarily be responsible for analyzing and reviewing complex revenue transactions, providing direction on technical revenue accounting issues and articulating accounting impact to our business partners during the contract negotiation process. In addition, this role will participate in month-end and quarter-end close activities and adhoc projects. This is a great opportunity to join and grow with a strong accounting team at a high growth, enterprise software company! Team Description The Revenue team is an extremely visible, high-performing team, ultimately responsible for accurate financial reporting of revenue. This will entail performing monthly close procedures, preparing detailed write-ups of revenue arrangements and providing recommendations for accounting-related terms during negotiations of revenue contracts. Additionally, this team is also responsible for designing and maintaining controls over reporting of revenue and assisting in quarterly forecasting activities for revenue and billings. Candidate Profile Bachelor’s Degree in Accounting or related discipline; CPA a plus Team player and effective communicator with all levels of management and cross functional organizations 3+ years of progressive experience in revenue accounting and operation in the technology industry Proficient knowledge of revenue and related pronouncements (ASC 606) Experience working in a SOX-controlled environment preferred Knowledge

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking Senior / Staff Robotics Engineer, Manipulation to own the arm autonomy stack. You will architect the algorithms that allow our robot to reach, grasp, and manipulate objects safely and intelligently. You will bridge the gap between high-level planning and low-level control, ensuring our robot can interact with the world with both precision and compliance. Responsibilities Advanced Motion Planning & Trajectory Generation: You will architect the algorithms that drive high-DOF arm motion in dynamic environments. This involves implementing constrained motion planners that generate smooth, jerk-limited trajectories in real-time. You will also solve the "Whole Body" control problem, coordinating the mobile base and the manipulator arm simultaneously to extend the robot's workspace and maintain stability during heavy lifting tasks. Interaction Control & Compliance: You will develop the low-level control strategies that enable the robot to physically interact with the world safely. This includes designing and tuning impedance/admittance controllers that allow the robot to modulate stiffness based on force feedback—essential for tasks like opening heavy doors or plugging in connectors. Teleoperation & Human-Robot Interface: You will build the mathematical engine behind our remote manipulation capabilities. You are responsible for the logic that translates human operator inputs into feasible, safe robot motions. You will design the control mapping and assistance layers that ensure remote manipulation feels intuitive and stable, managing the complex translation between human intent and the robot's physical constraints without compromising safety. Requirements Experience: Ph.D. in Robot

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role As a Senior member of our Service Operations team at DoorDash Labs, you'll take on advanced diagnostic and repair work that keeps our robot fleet running. You'll work closely with the Associate Operations Manager and own your workload with minimal supervision. This role is fully on-site in Mesa, AZ, on the PM shift (2:30 PM – 11:00 PM), including at least one weekend day. You’re excited about this opportunity because you will… Execute any Senior Service Technician task and: Diagnose complex, intermittent, or unusual faults in robotic systems, modular components, and support vehicles, often requiring advanced troubleshooting techniques and interpretation of complex data Perform advanced repairs, including component-level troubleshooting and fixes on intricate electrical systems, control units, and associated hardware, with minimal supervision Interpret complex technical manuals, schematics, and diagnostic flowcharts to guide troubleshooting efforts Meticulously document complex diagnostic processes, root cause hypotheses, non-standard troubleshooting steps, repair details, and component failure information in the service management system, contributing potential updates to the knowledge base Provide technical guidance, mentorship, and on-the-job assistance to Level 2 Technicians for challenging tasks Work independently to manage and prioritize assigned workload effectively Calibrates, configures, and maintains specialized diagnostic tools and test equipment We’re excited about you because you have… 2+ years of service work experience Curiosity and an inclination for all things mechanical and repair Strong communication and documentation skills Prior experience in veh

About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. About the Role As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Research and develop reinforcement learning algorithms Design and run experiments to study training dynamics and model behavior at scale Collaborate with engineers and researchers to integrate successful approaches into model training pipelines You might thrive in this role if you: Have a strong background in reinforcement learning, machine learning research, or related fields Have strong engineering and statistical analysis skills Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving Are motivated by seeing research ideas influence real-world AI systems About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an ex

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build the core monetization and ads systems at OpenAI. This is a foundational role responsible for designing and implementing the infrastructure, APIs, and user-facing experiences that will power OpenAI’s next-generation monetization products—including ads. You’ll work across the full technical stack to architect, build, and ship 0→1 systems that are robust, safe, and scalable. You will collaborate deeply with Product, Design, and Research to define the future of monetized AI experiences and ensure these systems meet OpenAI’s highest standards for safety, privacy, and policy alignment. This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees. In this role, you will: Design, build, and scale the core infrastructure behind OpenAI’s monetization and ads products Develop advertiser-facing APIs and tools that enable the cre

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Seoul, South Korea. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, buil

Titan Security is built on serving our clients and building careers – just like yours. We are trusted by some of the most well-known companies and properties in the country while remaining dedicated to building personalized security solutions that solve the needs of every customer we support. Named as a nationally recognized Top Workplace in 2024 and 2025 by USA Today, Titan's customized approach to security services will provide you with the opportunity to learn, grow and succeed. Our core values of being Unified, Transparent, Innovative, Committed and Accountable help us in providing unparalleled service and support in all that we do. If you are looking for a meaningful career, a culture of excellence, and the ability to make a difference, we want to talk to you! Titan Security is currently hiring Flex Security Officers to work at various locations throughout the Southfield and Detroit area . Responsibilities include, but are not limited to: Provide excellent Customer Service to all parties encountered while on duty, including assisting with directions and general business information Conduct general patrols on foot and within a vehicle to check for security violations like unsafe conditions or unauthorized persons Control access for patrons, visitors or vendors as required Monitor security guard cameras and conduct patrols to guard against theft and maintain a safe environment Maintain clear, accurate logs pertaining to people or property including packages Respond to incidents, including emergencies at the property, and record data on incidents for building and Titan Security management Other duties as assigned Required Qualifications: Must be at least 18 years of age Must have a Valid Driver's License High School diploma or general education degree (GED) Able to pass pre-employment drug screen and criminal background check Able to read, write, speak, and understand English Able to meet physical essential functions of the job, which can include lifting 75 l

About the Team The Consumer Products team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, and cloud services to deliver reliable, production-ready devices at scale. Within Consumer Products, the camera stack is a critical sensing component. The team partners closely with electrical engineering, silicon vendors, systems, and higher-level perception and product teams to bring up new hardware, stabilize capture pipelines, and ensure camera systems are robust, debuggable, and ready for real-world deployment. This work spans early prototypes through production, with a strong emphasis on correctness, repeatability, and long-term reliability. About the Role As a Camera Firmware Engineer, you will own low-level camera enablement on custom hardware—from early board bring-up through stable production capture. You will develop and maintain the firmware and software that makes camera sensors reliable, controllable, and debuggable, forming the foundation for higher-level camera pipelines and product features. This role is highly hands-on and systems-oriented. You will work close to the hardware, diagnose real-world timing and integration issues, and build tooling that accelerates iteration across the entire camera stack. This role is based in San Francisco, CA. We follow a hybrid work model with four days per week in the office and offer relocation assistance to new employees. In This Role, You Will Bring up new camera sensors and modules on prototype and production boards, including link stability, sensor control, and correct power, reset, and clock sequencing. Develop and maintain low-level camera software, including sensor drivers, board configuration, and camera subsystem integration across hardware revisions. Enable and validate core capture paths for development and production, including RAW capture for debugging, still capture, and hardware-

Paediatric Occupational Therapist Location: Essex Salary: £45,123 - £53,603 (including paid school holidays) + Excellent Benefits Contract: Permanent Hours: Full-time About the Role Our client’s School is a purpose-built school registered for 150 pupils aged 5-19 with autism. The school boasts exceptional facilities, including a large sports hall, bespoke sixth form suite, therapeutic spaces, and extensive outdoor areas. As part of a multi-disciplinary clinical team , you will support educational and residential colleagues to create therapeutic living and learning environments. Based on clinical assessment and formulation, you will offer individualised interventions and engagement to young people. Our client’s Occupational Therapists work collaboratively within schools and children’s homes, ensuring therapeutic support permeates every aspect of education, care, and support. You will also provide consultation, workshops, training, and guidance to staff teams. Key Responsibilities Deliver specialist OT interventions for pupils with autism and complex needs. Work as part of a multi-disciplinary team to support holistic care. Provide assessments, formulate treatment plans, and monitor progress. Offer training and guidance to educational and residential staff. Contribute to creating therapeutic environments across the school. About You HCPC registered Occupational Therapist. Experience working with children and young people with autism and complex needs. Strong communication and collaboration skills. Ability to work within a multi-disciplinary team. Why Join Our Client? Training: Full induction and on-the-job training. Holiday: Paid school holidays including bank holidays. Clinical Development: Leading programme of clinical learning and development. Flexible Benefits: Options to tailor benefits such as life insurance. Wellbeing Support: Employee assistance and wellbeing tools. Medical Cover: Claim back costs for opticians, dentists, and more. Discounts: High-

About the Team The Software Engineering Firmware team builds reliable, high-performance systems on custom hardware. We work closely with hardware engineers to design, optimize, and ship software that bridges cutting-edge devices and real-world constraints like memory, power, and latency. Our work spans early prototyping through product launch, ensuring that our embedded platforms are robust, efficient, and production-ready. About the Role As a Firmware Engineer , you will design, implement, and debug software for embedded devices. You’ll own low-level bring-up, write production C/C++ code, and partner closely with hardware teams to deliver reliable, high-performance systems. We’re looking for engineers with deep embedded expertise, strong debugging skills, and a passion for building systems that perform under real-world conditions. This role is based in San Francisco, CA . We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, implement, and debug software for embedded devices. Contribute to defining software requirements, interfaces, and test plans. Bring up and debug new boards. Analyze performance, memory, and power profiles and implement optimizations. Investigate field issues, perform root-cause analysis, and deliver robust fixes. Foster good software engineering practices. You might thrive in this role if you: Have deep experience shipping embedded systems (around 10+ years). Are proficient in C and C++. Are familiar with embedded toolchains, operating systems, and debugging tools. Have experience with both rapid prototyping and scalable product development. (Nice to have) Have experience with Zephyr RTOS. (Nice to have) Have worked with networking/wireless stacks (BLE, Wi-Fi). (Nice to have) Have experience with Linux kernel development. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefit

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build the core infrastructure behind OpenAI’s monetization and ads systems. In this foundational role, you’ll architect and implement distributed systems that power OpenAI’s monetization stack—focusing on reliability, performance, privacy, and large-scale operation. You’ll work across backend, systems, and platform layers to define and implement 0→1 infrastructure, partnering closely with Product, Design, and Research to shape the future of monetized AI experiences. Your work will enable both internal and external teams to build on safe, scalable, and robust monetization primitives. This role is exclusively based across our San Francisco & Seattles sites. We offer relocation assistance to new employees. In this role, you will: Design and build the foundational backend and infrastructure powering OpenAI’s monetization and ads systems Architect large-scale distributed systems that

About the Team The Personal AGI team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment to millions of users, ensuring that our models are safe, efficient, and reliable. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products. We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own and pursue a research agenda to improve model capability and performance. Collaborate closely with the other research and product teams, allowing customers to optimize their own models. Build robust evaluations for tracking modeling improvements. Design, implement, test, and debug code across our research stack. You might thrive in this role if you: Have a deep understanding of machine learning and machine learning applications. Have a working knowledge of relevant models, and building evaluations for model capability improvement. Are comfortable diving into a large ML codebase to debug. Thrive in a dynamic and technically complex environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and

Consultant Psychiatrist Join a brand-new acute Mental Health service where you will play a central role in shaping care pathways and building the culture alongside the senior leadership team. This role is ideal for a Consultant Psychiatrist with experience in inpatient settings, including working with patients under the Mental Health Act, and with an interest in supporting trauma-affected patients. Key Responsibilities Assume Responsible Clinician (RC) duties for Dunnock View, supported by non-consultant grade doctors and the Lead Consultant Psychiatrist Ensure patients admitted are assessed, treated, and discharged safely Oversee medication management Support clinical governance, including quality assurance, complaints management, and co-production Deliver care in line with NICE guidance Lead and manage CPA and ICR processes to ensure compliance with quality standards Participate in the On Call Consultant rota Requirements Medically qualified (MRC Psych or equivalent) Innovative and able to initiate corporate decisions Understanding of current developments in psychiatry and mental health Knowledge of change management, legislation, contemporary mental health issues, and purchaser/provider contractual issues Previous Consultant experience What’s on Offer Competitive annual salary £5,000 car allowance 30 days annual leave + bank holidays + birthday leave Group Personal Pension Plan (GPPP) with employer contribution Life Assurance Enhanced maternity package Free meals while on duty Employee Assistance Services Career development and training opportunities Wellbeing support and activities Voluntary benefits Medical indemnity cover

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,