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Additionally, employees can work remotely—inside or outside the U. Strong Python and SQL; Good software development fundamentals a must. Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work

About Us DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview The Solution Data Scientist (Fraud & AML) will be part of our Professional Service team, reporting to our Chief Solution Architect and VP Professional Services. You will lead various types of technical projects e.g. fraud attack pattern study, risk strategy development, data pipeline and platform configuration, and machine learning model evaluation. Such projects may span both pre-sales and post-sales engagements with DataVisor clients. You will drive the internal engagement with Customer Success, ML Model, Product and Engineering teams to deliver fraud and AML solutions and custom platform configuration that bring business impacts to our clients and generate revenue for DataVisor. You are a big believer and proficient user of GenAI tools e.g. ChatGPT to perform data analysis tasks 10x more efficiently than before. Key Responsibilities • Business Problem Discovery: Discover and understand the client’s business logic and business problems, e.g. risk decision flows, business pain points, fraud patterns, data availability and quality, and expected business outcome., • Data Integration and Quality Check: Lead technical discussions with clients’ risk business teams (Fraud and AML) and data team to ensure high quality and comprehensive data is provided. Own the data transfers and data quality validation., • Risk Pattern Analyses and Strategies: Leverage your strong domain expertise and business sense to conduct data analyses, pattern analyses, suggest and create detection strategies, and perform strategy testing and iterations., • Solution Design and Configurations: Design and configure various DataVisor solution components e.g. Rules Engine, Decision Flows, Case Management, Knowledge Graph, BI Dashboards to provide tailored results and strong business values to clients., • ML Model Performance Analysis: Work with ML Modeling team to develop, tune, and evaluate fraud detection models (unsupervised and supervised), and conduct performance metrics analysis to guide the threshold selection and decision adoption., • Project Management and Documentation: Manage the solution service projects with project management tools e.g. Monday.com, and own the creation and reporting of key internal and external-facing project documents as deliverables., • Presentation and Demonstration: Present the project results and demonstrate the configured solutions to key business stakeholders., • Experience:, • 4+ years of experience in Fraud and/or AML strategies or models, • 2+ years of experience in client-facing data analytic projects, • Technical Skills:, • Domain knowledge in Fraud and AML use cases in financial services industry, • Proficient in SQL queries with complex joining and layered logics, • Familiarity with data streaming/processing e.g. REST API, Kafka, SFTP, Hadoop, • Familiarity with Python, R, and Java is a plus, • Proficient in LLM tools e.g. ChatGPT to research new business problems, • Soft Skills:, • Excellent communication, presentation, and interpersonal skills, • Strong problem-solving mindset and results-driven mindset, • Strong mindset of documentation and automation with AI tools/agents, • Ability to work collaboratively in a face-paced, team environment and manage multiple projects simultaneously, • Education:, • Opportunity to work on impactful projects that protect businesses from risk loss, • Collaborate with a diverse and talented team of experts in AI and machine learning, • Enjoy a flexible, supportive work environment with opportunities for professional growth, • Competitive compensation and benefits package, • Stock options, Medical insurance, 401K, PTO

___ is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all. TEAMThe Autolabeling team at Woven by Toyota tackles a wide range of exciting challenges—from optimization in large-scale sensor and visual data, to 3D geometric computer vision and pioneering advancements in machine learning for perception autolabeling. Enabling ADAS stack development for Toyota vehicles, our mission is to process petabytes of data and automatically generate high-quality, consistent, and diverse autolabeled data at scale—covering various platforms and driving scenarios—to power next-generation data-driven autonomous vehicle technologies. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting on a daily basis with other software and ML engineers and researchers to tackle some of the most challenging problems in AI, robotics, and computer vision. WHO ARE WE LOOKING FOR?The Autolabeling team is looking for an experienced Machine Learning engineer to join us in developing a state-of-the-art perception autolabeling system to support autonomous stack development and validation. As a Machine Learning engineer in the Autolaebling team you will be responsible to design and develop new offboard Machine Learning models for our online autolabeling system and deploy these models into our large scale cloud processing pipelines. You’ll collaborate closely with multidisciplinary teams, contribute technical leadership on R&D projects, and help guide the integration of innovative ML techniques into our autolabeling and perception stack, to support ADAS development for millions of Toyota vehicles.We recognize the unique capabilities each team member brings, and encourage applicants to reach out even if they do not match all of the characteristics described below. • Offboard autolabeling ML model R&D by prototyping, validating and iterating on existing and new model architectures., • Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance., • Lead large, multi-person projects and significantly influence the overall autolabeling architecture and technical direction., • Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews and delivering rigorous reports from ML experiments., • Work in a high-velocity environment and employ agile development practices., • Collaborate closely with stakeholders in upstream data provider and downstream customer teams to define interfaces and requirements for the autolabeling stack and product., • Team player and "get things done" mentality., • MS, or higher degree, in CS/CE/EE, or equivalent in industry experience., • 5+ years of experience with ML frameworks such as PyTorch, Tensorflow., • Extensive experience in developing machine learning models for perception, robotics, or related tasks., • 5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization., • Strong programming skills in Python or C++., • Strong communication skills and ability to communicate concepts clearly and precisely., • Passionate about self driving car technology and its potential for humanity., • Hands-on experience with building an autolabeling or perception ML models for autonomous systems., • Experience with foundational or offboard machine learning model development.

___ is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. TEAM At Woven by Toyota, we work on a diverse set of problems ranging from solving Trajectory Planning and Decision Making problems, to optimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting on a daily basis with other software and hardware engineers and researchers to tackle some of the most challenging problems in AI and Robotics. WHO WE ARE LOOKING FOR The team is looking for an experienced Machine Learning Engineer to join us in developing a state-of-the-art motion planning system for autonomous driving. As an expert in machine learning in the Motion Planning team, you will be responsible to design and develop new Machine Learning models for our Motion Planners, and to deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles. The ideal candidate will have published some deep learning research in top-tier conferences such as NeurIPs or CVPR, built and deployed real-world deep learning products, and worked in a fast-paced environment along with other highly talented engineers. We recognize the unique capabilities each team member brings, and encourage applicants to reach out even if they do not match all of the characteristics described below. \n RESPONSIBILITIES: • Motion Planning ML model R&D by prototyping, validating and iterating on existing and new model architectures leveraging imitation learning, deep reinforcement learning, and large-scale data., • Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance., • Lead large, multi-person projects and significantly influence the overall Motion Planning architecture and technical direction., • Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews and delivering rigorous reports from ML experiments., • Work in a high-velocity environment and employ agile development practices., • Team player and "get things done" mentality, • Collaborate closely with teams such as Perception, Simulation, Infrastructure, Tooling to drive unified solutions., • Closely collaborate with Motion Planning subteams to develop end-to-end solutions. EXPERIENCE: • MS, or higher degree, in Machine Learning, Robotics, CS (or other related fields), or other quantitative fields or equivalent in industry experience., • 5+ years of experience with ML frameworks such as PyTorch, Caffe, Tensorflow, • Extensive experience with learning-based planning approaches like imitation learning, reinforcement learning and state-of-the-art techniques for sequential modeling like Transformer architectures, and camera input or vector/point-based representations., • Strong programming skills in Python or C++, • 5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization., • Passionate about self driving car technology and its potential for humanity., • Strong communication skills and ability to communicate concepts clearly and precisely Nice to Have • Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, model predictive control, etc or self-driving problems (Perception, Prediction, Mapping, Localization, Planning, Simulation), • Experience in writing production level code in a real-time operating system., • Experience with temporal/sequential modeling and/or reinforcement learning., • Experience in optimizing runtime-critical systems for Linux, UNIX-like real-time operating systems on automotive-grade compute platforms, and building safety-critical software architecture. \n For California: The base pay for this position ranges from $161,000- $264,000 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our ___ for more details.

ABOUT EARNIN As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY Machine learning is the crucial enabler for every financial service EarnIn provides its community members. We are going through transformative investments in machine learning platforms and algorithms. We seek experienced ML platform engineers to shape and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack. The Palo Alto base salary range for this full-time position is $272,700 - $333,300 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Palo Alto and will require in-office work 2 days a week. WHAT YOU'LL DO • Design, build, and maintain the ML platform and tools to support the end-to-end machine learning lifecycle., • Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure reproducibility., • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform., • Contribute to the evaluation and adoption of new technologies and tools to enhance our machine-learning capabilities., • Provide technical guidance and mentorship to junior team members., • Set examples of outstanding operational excellence. Be the catalyst of step-jump changes. WHAT WE'RE LOOKING FOR • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field., • 7+ years of industry machine learning experience and excellent software engineering skills., • Strong programming skills in Python, and familiarity with ML frameworks such as TensorFlow or PyTorch., • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI., • Familiarity with data pipeline and workflow management tools., • Strong communication and collaboration skills., • Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering. At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team. #LI-Hybrid

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As an AI Engineer & Researcher - HCI / Model Designer at xAI, you will play a pivotal role in bridging the gap between cutting-edge AI models and exceptional user experiences. This position sits at the intersection of human-computer interaction (HCI), AI engineering, and model design, where you'll collaborate with cross-functional teams to reimagine how users engage with our AI systems. Your work will focus on elevating the intuitiveness, clarity, and delight of interactions, ensuring that complex AI capabilities are presented in ways that feel natural, insightful, and empowering. With a keen eye for user-centric design, you'll iterate on interfaces, information architectures, and visualization techniques to make our models more accessible and transparent—ultimately helping users unlock the full potential of AI in their daily lives. Focus • Enhance User Interactions: Design and implement intuitive interfaces that improve how users query, receive, and iterate on responses from our AI models, prioritizing seamless and engaging experiences., • Information Organization and Display: Develop strategies for structuring and presenting AI-generated content, ensuring clarity, hierarchy, and relevance to help users quickly grasp key insights without overwhelm., • Innovate on Agent Transparency: Create novel ways to visualize and convey the internal reasoning processes of AI agents, such as step-by-step thought traces or dynamic feedback loops, to build trust and understanding., • Prototyping and Iteration: Rapidly prototype new HCI features for AI interfaces, incorporating user feedback and A/B testing to refine how models deliver value in real-world scenarios., • Cross-Disciplinary Collaboration: Work closely with AI researchers, engineers, and product teams to integrate HCI principles into model training and deployment, fostering innovations that align technical capabilities with human needs. Ideal Experience • HCI and UX Expertise: Proven track record in human-computer interaction, user experience design, or related fields, with a portfolio demonstrating high-taste designs for complex systems—ideally in AI or tech products., • AI/ML Engineering Background: Hands-on experience building or fine-tuning AI models (e.g., LLMs, agents), combined with skills in software engineering (Python, frontend frameworks like React) to prototype and deploy interactive AI features., • Research Acumen: Experience conducting user studies, A/B experiments, or HCI research, with publications or projects in areas like AI explainability, information visualization, or conversational interfaces., • Creative Problem-Solving: Demonstrated ability to innovate on information display and agent transparency, such as designing tools for reasoning visualization or adaptive UIs, with a strong aesthetic sense for what "feels right" to users., • Collaborative Mindset: 3+ years in fast-paced environments, preferably at AI startups or tech companies, where you've balanced technical depth with user empathy to deliver impactful solutions. Location • We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: • Coding assessment in a language of your choice., • 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training., • Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD xAI is an equal opportunity employer.

At Reinforce Labs, we partner directly with customers to build AI systems that enhance the safety and reliability of their complex, high-impact applications. In this role, you'll engage directly with clients to deeply understand their specific challenges, conduct thorough data analysis, and deliver trust and safety AI solutions. You'll implement advanced machine learning techniques including LLMs, reinforcement learning, and deep learning - often translating cutting-edge research papers into practical applications. This position combines technical depth with significant client-facing responsibilities. You'll tackle high-stakes problems with unclear solutions but real-world consequences. Key responsibilities include: * Conducting technical research with customers to map critical workflows and developing sophisticated AI probes that identify potential edge-case failures * Performing comprehensive data analysis to build specialized classifiers that detect subtle risks, violations, and anomalies * Implementing and fine-tuning generative models that can simulate rare or high-risk scenarios * Designing systems that enhance human decision-making under pressure Our success is measured by real-world impact. You'll develop and ship solutions that protect people and platforms at scale while building trusted relationships with the clients who depend on our technology. * Experience with ML and deep learning frameworks such as PyTorch or TensorFlow * Ability to translate cutting-edge research papers into practical AI applications * Strong analytical skills to identify trust and safety threat patterns and challenges * Hands-on experience training and deploying machine learning models in production * Proficiency in Python * Experience partnering with trust & safety leads and background in trust & safety, moderation, AI safety, or security-focused ML to deliver state-of-the-art solutions [a big plus] * An advanced degree in computer science or a related field * Experience in early-stage startups * Experience in customer-facing AI technical solutions * Contributions to high value AI/ML community projects Reinforce Labs is a small team with a clear mission: to use AI to make critical systems safer, not just smarter. We value: * Willingness to learn new things, take on diverse tasks, and challenge yourself * Hands-on technical excellence * Ownership * Ability to handle ambiguity * Fast, results-driven delivery

We are looking for the best At 42dot, our team of skilled Machine Learning Engineers is dedicated to pioneering cutting-edge solutions in Motion Planning algorithms. We specialize in researching and developing advanced algorithms for predicting future paths, essential for ensuring the safety of autonomous driving systems. Leveraging extensive datasets, we conduct in-depth analysis of driving patterns to design algorithms that enable smooth and natural control of autonomous vehicles. Our commitment lies in delivering innovative technologies that pave the way for the future of autonomous driving. \n Responsibilities • Research and development of motion prediction algorithms for autonomous driving such as surrounding vehicles and pedestrians, • Exploring predictive algorithms, prototyping, and validating, • Modeling data-driven driving algorithms, • Deploying models to autonomous driving systems by optimizing and improving the performance of algorithms, • Work with Perception/Planning engineers to improve self-driving performance, • Development of evaluation indicators and systems to evaluate developed algorithms Qualifications • Minimum of 7 years of relevant experience, • A master's/doctor's degree or higher, or equivalent experience in computer science, electronics, or related fields, • Deep understanding and practical experience in learning self-driving systems and deep learning models, • Deep understanding of vehicle dynamics models, • Superior programming skills (C/C++, Python, etc.), • mathematical reasoning ability related to probability Preferred Qualifications • Experience in research and development related to autonomous driving and robotics, • ROS1/ROS2 experience, • Experience deploying predictive models in real-world environments, • Inference optimization experience (TensorRT, CUDA programming, etc.), • History of books/academic activities in related fields (CVPR, ICCV, ECCV, IROS, ICRA, etc.) \n Please refer to the videos from___ and ___ for insights into 42dot Autonomous Driving, our autonomous driving AI software. Please upload all submission files in PDF format. ※ Please review the following information before applying. ㆍHow to work in 42dot, ___ ㆍHow to work in 42dot, ㆍ42dot's Employee Engagement Program, ___ ㆍ42dot's Employee Engagement Program,

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the role We’re looking for exceptional AI engineers who want to join us on a new project to integrate Grok into all parts of our X Ads Platform. We’re looking for individuals who have built exceptional advertising products and systems at massive scale across bidding, auction, marketplace, ranking, prediction, and product. We’re bringing xAI’s technology stack to X and using it to transform our advertising stack. What You'll Do • Leverage the latest Grok models to power all stages of our advertising stack, from candidate selection to ranking, auction, campaign optimization, creative generation and advertiser experience., • Own and operate systems and products driving the majority of X’s revenue. Who You Are • 3+ years of industry experience working on large-scale, high-throughput AI powered advertising products. Tech Stack • Python, Jax, Rust Locations • We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of 2 technical interviews and 1 project deep-dive interview: • Practical coding assessment in a language of your choice., • Systems design hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present and answer questions about exceptional work that you’ve done., • Meet and greet with the wider team. Our goal is to finish the main process within one week. Final interviews will be conducted in person. Annual Salary Range $180,000 - $440,000 USD xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For Los Angeles County (unincorporated) Candidates: xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: • Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;, • Interacting with internal and/or external clients and colleagues; and, • Exercising sound judgment.

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models. We are looking for a Machine Learning Engineer to join our autonomy team and help bring end-to-end ML models ( from pixels to trajectories ) into robust, testable, and deployable systems. This role is ideal for engineers who thrive at the intersection of machine learning, systems engineering, and real-world deployment. You’ll contribute to the implementation, evaluation, and integration of ML-based components for perception, planning, and control. This includes supporting our team’s efforts in simulation-based testing, real-time deployment, and data-driven model development. You’ll work closely with researchers, data engineers, and autonomy engineers to ensure models scale from prototype to production. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities. • Implement, maintain, and evaluate end-to-end ML models used in the autonomy stack, • Collaborate with ML researchers, data scientists and engineers, and simulation teams to build training, evaluation, and deployment pipelines., • Integrate models into real-time systems running on simulation and vehicle platforms, ensuring correctness and performance., • Support open-loop, closed-loop, and batch evaluation workflows of trained models, including metrics tracking, ablation studies, and debugging tools., • Help design scalable workflows for managing large datasets (e.g., demonstration driving for imitation learning) and support diverse scenario coverage., • Write clean, modular, well-tested code with a focus on reliability, clarity, and maintainability., • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related field., • 3+ years of strong experience with ML frameworks such as PyTorch, Tensorflow or Caffe., • Strong Python and C++ programming skills and solid understanding of ML model development best practices., • Familiarity with metrics dashboards, experiment tracking, and ML ops tooling (e.g., Weights & Biases, MLflow, Metaflow)., • Some experience working with robotics or real-world sensor data (e.g., video, lidar, IMU, or radar)., • Strong understanding of version control, testing, and software engineering fundamentals., • Enthusiasm for collaborative engineering and building reliable ML systems that support real-world autonomy., • Experience working with ROS, simulation frameworks (e.g., CARLA, Nvidia DriveSim), or vehicle interfaces., • Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling), • Exposure to distributed training, inference optimization, or model deployment on edge devices.

Location: Palo Alto, CA Type: Internship Duration: 12-24 weeks Start Date: Multiple through the year. Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. * Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale. * Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. * Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. * World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes. We are looking for a Conversation AI Engineer to bend language models to their will. In this role, you will collaborate with engineers and research scientists to enhance the effectiveness and safety of generative AI solutions by designing, testing, and improving prompts that drive clinical safety and patient experience. You will also create automations to test your creations. An ideal candidate is equal parts software engineer and prompt engineer, loves experimentation and tinkering, is extremely thorough and detail oriented, and has a passion for conversation and communication. Position Overview: We are seeking a motivated Research Scientist Intern to assist our team in developing and refining cutting-edge speech synthesis solutions in a voice to voice conversational setting, leveraging paralinguistic cues. This is a fantastic opportunity for someone looking to gain hands-on experience in a fast-paced environment and learn from industry experts. Key Responsibilities: * Assist in the development and testing of speech synthesis solutions in a voice to voice multi-turn conversational setting. * Collaborate with engineers and linguists to improve voice quality and user experience. * Analyze and process audio data for training purposes. * Conduct research on the latest trends in voice synthesis technology. * Help with documentation and presentation of findings. * Participate in team meetings and contribute ideas to ongoing projects. Qualifications: * Currently pursuing a PhD in Computer Science, Linguistics, Engineering, or a related field. * Familiarity with programming languages such as Python or C++. * Strong analytical skills and attention to detail. * Excellent communication skills and ability to work in a team. * Passion for language technology and audio processing. What We Offer: * Hands-on experience a multi modal world of conversational LLMs. * Mentorship from experienced professionals in the industry. * Opportunities to participate in innovative projects. * Flexible working hours and a supportive work environment. * Potential for future employment based on performance.

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. You will work directly with our enterprise customers, owning the strategy and execution of Voice AI solutions. You’ll act as a specialized AI startup CTO, focusing on voice-driven technologies, leading high-stakes projects, and delivering measurable impact. If you excel at combining deep technical expertise with customer-focused innovation, particularly in the Voice AI domain, we’d love to hear from you. Your day-to-day work may include: • Designing and building end-to-end Voice AI solutions, from understanding customer pain points to scoping product specs and deploying LLM-powered voice interfaces., • Benchmarking voice models, writing evaluations, or analyzing performance to identify weaknesses in speech recognition, synthesis, or natural language understanding., • Improving model performance through system prompt tuning, fine-tuning voice-specific models, or optimizing for low-latency voice interactions., • Analyzing voice request logs, prompt data, or audio inputs to enhance system accuracy and user experience., • Building internal tools to automate voice AI workflows, such as transcription pipelines or real-time voice processing., • Enhancing xAI’s Voice AI SDKs or developer documentation based on customer feedback and enterprise use cases., • Deep expertise in solving enterprise voice AI challenges, delivering robust and scalable voice-driven solutions., • Proven ability to ship high-quality code and complete voice AI projects in demanding environments., • Ability to handle ambiguity, adapt to evolving requirements, and prioritize effectively in a fast-paced startup setting., • Exceptional communication skills to clarify voice-specific requirements with customers and drive projects to successful completion., • Emphasis on designing, implementing, and maintaining efficient voice AI architectures, including speech-to-text, text-to-speech, and real-time voice processing., • Proficiency in managing complex codebases and optimizing voice data pipelines for high-throughput, low-latency performance., • Define critical benchmarks for Voice AI performance: Establish key performance benchmarks tailored to enterprise voice use cases, such as speech recognition accuracy, natural language understanding, and real-time latency, reflecting customer prompt distributions., • Initiate human data collection for Voice AI: Design and manage campaigns to acquire high-quality voice and conversational data from diverse enterprise contexts, supporting model training and validation., • Drive Voice AI integration with enterprise partners: Collaborate with cross-functional teams to integrate Voice AI capabilities into enterprise workflows, enabling seamless adoption in areas like customer service, virtual assistants, and telephony systems. An ideal candidate meets at least the following: • Strong engineering background., • Experience interfacing between technical and customer-facing teams., • Excellent verbal and written communication skills in English., • Ability to translate business and voice-specific product needs into technical solutions., • Proven experience implementing voice AI or machine learning products, including APIs, back-end, and front-end voice interfaces., • Strong proficiency in Python and/or TypeScript., • Solid understanding of HTTP protocol and real-time communication protocols (e.g., WebRTC). Candidates may distinguish themselves with: • Building evaluations for voice AI capabilities, such as speech recognition accuracy or naturalness of synthesized speech., • Demonstrating expertise in machine learning fundamentals, including voice model evaluation, training, or fine-tuning., • Deploying voice AI models to production, optimizing for low-latency and high-reliability environments., • Writing developer documentation or creating voice-specific SDKs., • Working with large-scale audio datasets, optimizing voice processing pipelines, or scaling systems for enterprise-grade workloads., • Using infrastructure tools like Pulumi or Terraform for deploying voice AI systems. After submitting your application, our team reviews your CV and Statement of Exceptional Work. If selected, you’ll be invited to a 15-minute technical phone interview where we’ll discuss your background and voice AI specialization. Successful candidates proceed to the main process: • 15 min Technical Screen, • 2x 45 min Coding Interview (focused on voice AI or related challenges) The Statement of Exceptional Work is a critical factor in our evaluation. We aim to complete the main process within one week. All applications are reviewed by our technical team, not recruiters. Interviews are conducted via Google Meet or in-person. • Competitive cash-based compensation, • xAI equity, • Private health and dental insurance, • Unlimited time off subject to prior approval $180,000 - $440,000 USD xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For Los Angeles County (unincorporated) Candidates: xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: • Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;, • Interacting with internal and/or external clients and colleagues; and, • Exercising sound judgment.

___ is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team Our Motion Planning and Prediction team is seeking a Staff Machine Learning Engineer to develop state-of-the-art ML models that drive the future of Toyota autonomous vehicles. As a key contributor to our motion planning system, you will focus on ML research and development, optimizing models for deployment on next-generation autonomous platforms—bringing cutting-edge technology to millions of vehicles. Who are we looking for? The ideal candidate has hands-on experience building and deploying ML models in real-world applications, a strong technical foundation in deep learning, and a passion for autonomous systems. We value diverse expertise, so even if your background doesn’t match every requirement, we encourage you to apply. \n Responsibilities • Develop machine learning models for autonomous motion planning using techniques such as imitation learning, deep learning, and large-scale data-driven modeling., • Prototype, iterate, and validate new ML architectures, optimizing performance and robustness., • Contribute to the full ML model lifecycle, from data strategy and initial development to optimization, validation, and real-world performance tuning., • Work closely with cross-functional teams (Perception, Simulation, Infrastructure) to ensure seamless integration of ML models into motion planning and prediction pipelines., • Write high-quality, production-ready code and collaborate in code reviews to uphold engineering standards., • Apply rigorous experimentation methodologies to evaluate models and improve real-world driving behaviors. Qualifications • PhD or Masters in Machine Learning, Robotics, Computer Science, or related fields., • 8+ years of experience with ML frameworks (PyTorch, TensorFlow, etc.)., • Strong understanding of learning-based planning, including imitation learning, deep learning, sequential modeling, and Transformer architectures., • Proficient in Python or C++ for ML development and deployment., • Hands-on experience with data processing, model training, and performance evaluation for deep learning pipelines., • Passionate about autonomous driving technology and its potential impact. Nice to Have • Experience in robot motion planning techniques such as trajectory optimization, sampling-based planning, or model predictive control., • Background in self-driving technologies, including Perception, Prediction, Mapping, Localization, and Simulation. \n The base pay for this position ranges from $161,000- $264,500 a year. Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our ___ for more details.

Please complete the attached the ___ and submit it. Please make sure you are applying with your Coupang e-mail address. We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview: The SDPE (Search and Discovery Product Engineering) ML group is Coupang’s advanced machine learning team. It keeps Coupang at the forefront of machine learning technology across multiple application areas including content understanding, recommendation, ranking and more. It is a high impact applied team that works on directly bringing that technology to the product in collaboration with product engineering teams. The main contribution of the team’s work is to drive top line metrics for wowing our customers and thriving Coupang business. As a Staff ML engineer in SDPE ML Group, you will leverage the most advanced algorithms to improve and innovate Coupang’s product search and discovery experience, including query/intent understanding, query recommendation and search widgets quality, and everything that customers see on search page. You are expected to be a leading expert in one or multiple areas including recommendation platform, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects. What You Will Do: • Root causes the major defects that are present in Coupang searchers’ experience., • Propose solutions which address these defects and leverage the state-of-the-art technologies, including ML, DL and LLM., • Drive end-to-end ML methods that have a high degree of ambiguity, scale and complexity, • Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production., • Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving., • Run A/B experiments, gather data, and perform statistical analysis to develop insights that drive product requirements., • Present results and explain methods to the leadership., • Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company., • Be a thought leader and able to gain consensus in the organization when needed. Basic Qualifications: • 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products, • Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc., • Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow. Successful candidates in this role need to be able to build bridge state of the art approaches to real world impact., • Proficient coding skills in Java, C++ or Python, • Masters or PhD in Comp Sci or related fields Preferred Qualifications: • Love to explore new territory of technology and go deep on domain knowledge., • Ability to think outside-the-box and challenge conventional wisdoms., • Extensive knowledge in deep learning and computer vision techniques., • A passion to explore, improve, automate and optimize distributed systems and tools., • PhD in Computer Science or related Engineering majors, • Bonus points for experience at e-commerce or social network or search companies, • Bonus points for large language models, generative AI experience. Pay & Benefits Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $161,595/year in our lowest geographic market to $300,105/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits • Medical/Dental/Vision/Life, AD&D insurance, • Flexible Spending Accounts (FSA) & Health Savings Account (HSA), • Long-term/Short-term Disability, • Employee Assistance Program (EAP) program, • 401K Plan with Company Match, • 18-21 days of the Paid Time Off (PTO) a year based on the tenure, • 12 Public Holidays, • Paid Parental leave, • Pre-tax commuter benefits, • MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Please complete the attached the ___ and submit it. Please make sure you are applying with your Coupang e-mail address. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at ___.

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. The Ion™ endoluminal system is Intuitive's new robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. The Ion R&D team is looking for a gifted engineer to contribute to our PlanPoint software and robot navigation, which together guide our physician users through the 3D structure of the lung, to take a biopsy at a target location. As a senior machine learning engineer on the Ion project, you will join a small team of experts in medical imaging, robotics, and software. You will play a lead technical role, working to conceptualize, design, and evaluate new solutions for medical image analysis. You will contribute across the product development life cycle, taking algorithm concepts from initial prototypes to production software. Responsibilities: • Work as part of a cross-functional team in a fast-paced, start-up-like business unit, • Develop new algorithms and software implementations for image segmentation, classification, registration, etc., • Prototype and iterate on designs, develop tests, and deliver high-quality software in Python or C++, • Participate in failure mode analysis, to identify and implement robust hazard mitigation strategies, • Maintain practical knowledge of state-of-the-art medical imaging research literature Requirements: • Master’s degree and 6 years experience; or a PhD with 3 years experience; or equivalent experience, • Demonstrated expertise in medical image analysis, computer vision, or machine learning, • Strong working knowledge of Python and/or C++ programming, • Great communication, presentation, and documentation skills, • Expertise in object-oriented programming, • Knowledge of one or more of the following libraries and tools: PyTorch, TensorFlow, ITK, OpenCV, or other image analysis toolkits, • Hands-on project experience in medical devices or another regulated industry Candidate can be located in Sunnyvale, CA OR Blacksburg, VA Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.

___ is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. TEAM We work in ML training and deployment ecosystem, you will be embedded within the Automated Driving & ADAS team and work directly with Autonomy ML engineers to accelerate development and deployment of ML models while improving their performance in joint projects. Your work will directly improve quality of our production models deployed on cars and serve as a basis to develop tools to support training and deployment of ML models on large scale data. You will work with a set of large-scale and interconnected tools, and help in improving scalability, efficiency, and utility of all aspects of the ML ops ecosystem. You will operate across ML Platform, production model owners, research, and cloud infrastructure to deliver efficient fast tools for integration, testing, and deployment of those models. This role is hybrid and will report to the Engineering Manager located in Palo Alto, CA. \n RESPONSIBILITIES: • Develop and integrate SOTA methods for efficient, large-scale training of ML models and support multi-platform deployment including automotive-grade edge compute devices, • Operate cross-functionally and serve a dual hat role to identify opportunities to improve production models, for example by improving model architectures and while trailblazing and generalizing involved methods and toolings to empower others, • Architect and develop tools for ML model evaluation and end-to-end validation to help ML engineers assess impact of their changes to downstream customers and modules, • Improve the utility of our vehicle data by building and improving the infrastructure for data sampling, data curation and data representation; improve versatility of our ML data format to support data reuse across models, • Operate cross-functionally and identify bottlenecks such as latency hot spots during training and deployment of ML models, while generalizing needed tools to empower others, • Scale our ML Ops architecture to the next level while taking advantage of heterogeneous clusters to maximize resource efficiency QUALIFICATIONS: • ML/ML Ops engineer with extensive experience in building large-scale data intensive distributed applications, • Experience in the full ML Ops cycle covering data cleansing, data sampling, data curation, training, testing, and deployment in the cloud and on edge compute platforms, • Prior experience of building and shipping ML models in a production environment, • Knowledge of SOTA methods in ML infrastructure domain and demonstrated curiosity and track record for keeping up with the literature, • Expert Python and PyTorch practitioner, • Familiarity with deployment and tuning ML models for edge devices, • Familiarity with C++ \n The base pay for this position ranges from $161,000 - 264,500 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our ___ for more details.

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the team The post-training team at xAI transforms powerful pre-trained models to become steerable, versatile, and capable of understanding and addressing real-world challenges. But the model is only as intelligent as the data it’s trained on, and you will be responsible for the educational diet of Grok as well as evaluating its capabilities. You will enhance the model's instruction-following capability and general usefulness to fulfill our mission – developing AI systems that can accurately understand the universe, create new knowledge, and improve themselves through interactions. You will improve Grok’s capabilities on coding, mathematical reasoning, science, law, and many other domains. About the role In this role you will: • Create and drive training data optimizations to advance model quality., • Improve data mixtures to drive model behavior improvements., • Design and implement robust model evaluations., • Build tools to benchmark, evaluate, and boost our models’ reasoning and performance., • Collaborate with pre-training, reasoning, data, multimodal, applied, product efforts to push the frontiers of model capability. Exceptional candidates may have: • Expertise in ML and fine-tuning large language models., • Experience working on large-scale recommendation models or other predictive systems., • Experience in data-driven large language model behavior improvements., • Experience in developing benchmarks or large-scale distributed machine learning systems., • Experience in model optimizations under complex setups (e.g., multi-modality, multi-context, multi-agent, long-horizon tasks, diverse user preference/feedback). Tech Stack • Python, • Jax Location The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: • Coding assessment in a language of your choice., • 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training., • Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For Los Angeles County (unincorporated) Candidates: xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: • Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;, • Interacting with internal and/or external clients and colleagues; and, • Exercising sound judgment.

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The TeamThe Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous. The Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people. About The RoleAs a Staff Software Engineer focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. Where you'll workThis is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA. In this role, you will: • Lead the modeling efforts of Tinder’s Trust and Safety experiences., • Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc., • Lead the research and development of novel algorithms and models, staying at the forefront of advancements in ML technologies., • Work with big data to improve the accuracy and relevance of models., • Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives., • 8+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale., • PhD or MS in machine learning, computer science, statistics, or another highly quantitative field., • Hands-on experience in the Trust & Safety domain., • In-depth knowledge of deep neural networks, particularly in the safety domain., • Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, etc., • Proficiency in Python, Java, Scala, or similar programming languages., • Strong decision-making skills with a bias for action and the ability to navigate ambiguity with confidence. #Tinder

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. Engineers are encouraged to work across multiple areas of the company, and as a result, all engineers and researchers share the title "Member of Technical Staff." We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. xAI does not have recruiters. Every application is reviewed directly by a technical member of the team. • Python / Rust / C++, • JAX and XLA, • NCCL, • CUDA (C++ and Triton) The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation. • Training trillion parameter neural networks at scale, as well as a variety of smaller specialized models., • Rapidly implementing the latest state-of-the-art methods from the deep learning literature., • Innovating new ideas for pretraining and new scaling paradigm., • Expert in machine learning and large model scaling, familiar with all kinds of scaling laws., • Good at understanding training through careful ablations., • Experience in optimizing model training efficiency., • Familiar with distributed training and parallelism strategies. After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: • Coding assessment in a language of your choice., • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present your past exceptional work to a small audience., • Meet and greet with the wider team. Our goal is to finish the main process within one week. We don’t rely on recruiters for assessments. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. $180,000 - $440,000 USD

We are looking for the best At 42dot, our Senior Machine Learning Engineer team focuses on developing state-of-the-art solutions in Motion Planning algorithms. We create advanced prediction algorithms for future path planning, a critical aspect of ensuring the safety and reliability of autonomous driving systems. By utilizing vast datasets, we conduct comprehensive analyses of driving patterns, allowing us to design algorithms that facilitate smooth and natural vehicle control. Our goal is to drive the innovation needed to shape the future of autonomous driving technologies. \n Responsibilities • Lead the design and development of advanced machine learning models for autonomous driving tasks, including perception, decision-making, and control, • Drive end-to-end machine learning pipeline development from data collection and preprocessing to model training, optimization, and deployment, • Apply state-of-the-art deep learning techniques, such as reinforcement learning, imitation learning, and self-supervised learning, to improve autonomous driving performance, • Optimize model performance in real-world driving conditions and ensure seamless integration with the vehicle’s software stack, • Collaborate with cross-functional teams, including software, hardware, and vehicle control, to align machine learning systems with overall vehicle architecture, • Mentor junior engineers and provide guidance on best practices for machine learning development, • Stay updated on the latest trends and research in machine learning and autonomous driving, bringing innovative approaches to the team Qualifications • Master’s or Ph.D. in Computer Science, Machine Learning, AI, Robotics, or a related field, • Extensive experience with deep learning algorithms (CNN, RNN, Transformer) and their applications in autonomous systems, • Strong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch), with a proven track record of deploying models in real-world systems, • Deep understanding of reinforcement learning, imitation learning, and advanced optimization techniques, • Experience working with large-scale datasets and cloud-based machine learning pipelines, • Excellent leadership and communication skills, with a demonstrated ability to lead technical projects Preferred Qualifications • Strong background in autonomous driving technologies and end-to-end learning for self-driving cars, • Experience with hardware-in-the-loop (HIL) testing and real-time deployment, • Experience in research and development related to autonomous driving and robotics, • ROS1/ROS2 experience, • Experience deploying predictive models in real-world environments, • Inference optimization experience (TensorRT, CUDA programming, etc.), • History of books/academic activities in related fields (CVPR, ICCV, ECCV, IROS, ICRA, etc.) \n Please refer to the videos from___ and ___ for insights into 42dot Autonomous Driving, our autonomous driving AI software. Please upload all submission files in PDF format. ※ Please review the following information before applying. ㆍHow to work in 42dot, ___ ㆍHow to work in 42dot, ㆍ42dot's Employee Engagement Program, ___ ㆍ42dot's Employee Engagement Program,

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As a Software Engineer in our AI products team, you will play a key role in developing and launching groundbreaking tools for internal use and eventual commercial release. This is a unique opportunity to contribute to 0-1 product launches at one of the leading AI labs, while also working on a variety of other initiatives where Grok can enhance, automate, and accelerate processes across the company. Core Responsibilities You will contribute to a portfolio of initiatives that leverage Grok to solve diverse company challenges. Our team operates like an internal startup, owning projects that drive engineering innovation and experimentation. This includes: • Rapidly prototyping and building software to improve, automate, or speed up various internal processes and products., • Collaborating on experimental features and tools where AI can deliver transformative impact, from enhancing user experiences to optimizing workflows in engineering, operations, and beyond., • Iterating quickly based on feedback, with a strong emphasis on creating seamless, intuitive user interfaces and experiences., • If you're passionate about delivering polished software and thrive in a fast-paced environment of continuous iteration, this role oNers the chance to shape multiple high impact projects from inception. Experience We are looking for an engineer with 2-7 years of professional software engineering experience, ideally in AI-driven applications. • Hands-on expertise in Python and machine learning frameworks., • Proficiency with large language models (LLMs), retrieval-augmented generation (RAG), and graph-based AI techniques., • Experience integrating AI models like Grok into complex workflows, such as document analysis, automation tools, and experimental prototypes., • Proven track record of building tools or features from scratch, iterating with product teams, and demonstrating end-to-end ownership., • Background in early-stage startups or as a founding engineer is highly desirable, with a focus on rapid prototyping, user-centric design, and solving real-world problems through AI. Annual Salary Range $180,000 - $280,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer.

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from ___, ___, ___, ___, ___, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. We’re looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet. \n Responsibilities • Use complex map and perception sensor output to develop novel deep learning models for our planning stack., • Design critical safety checks to ensure driving trajectories are feasible and follow rules of road., • Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments., • Track and incorporate the latest multidisciplinary research advancements in a fast-moving field., • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies. Required Skills • BS, MS, or PhD in Software, Robotics, or related field, • 4+ years of machine learning engineering experience for robotics applications, • Experience developing high-quality software from design and implementation to testing and deployment., • Expertise with Python, willingness to do some C++ development as needed., • Experience training with modern frameworks (e.g. PyTorch), • A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics., • Hands-on familiarity with cloud data ingestion pipelines, • Strong communication and collaborative skills Salary Range • $130,000 - $220,000 a year \n Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience. Your opportunities joining Plus Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan.

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The SDPE (Search and Discovery Product Engineering) ML group is Coupang’s advanced machine learning team. It keeps Coupang at the forefront of machine learning technology across multiple application areas including content understanding, recommendation, ranking and more. It is a high impact applied team that works on directly bringing that technology to the product in collaboration with product engineering teams. The main contribution of the team’s work is to drive top line metrics for wowing our customers and thriving Coupang business. As a Senior Staff ML engineer in SDPE ML Group, you will leverage the most advanced algorithms to improve and innovate Coupang’s product search and discovery experience, including query/intent understanding, query recommendation and search widgets quality, and everything that customers see on search page. You are expected to be a leading expert in one or multiple areas including recommendation platform, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects. What You Will Do • Root causes the major defects that are present in Coupang searchers’ experience., • Propose solutions which address these defects and leverage the state-of-the-art technologies, including ML, DL and LLM., • Drive end-to-end ML methods that have a high degree of ambiguity, scale and complexity, • Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production., • Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving., • Run A/B experiments, gather data, and perform statistical analysis to develop insights that drive product requirements., • Present results and explain methods to the leadership., • Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company., • Be a thought leader and able to gain consensus in the organization when needed. Basic Qualifications • Bachelors in Comp Sci or related fields, • 8 years of relevant work experience Preferred Qualifications • 12+ years working experience in the engineering teams that build large-scale ML-driven user-facing products, • Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc., • Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow. Successful candidates in this role need to be able to build bridge state of the art approaches to real world impact., • Proficient coding skills in Java, C++ or Python, • Masters or PhD in Computer Science or related fields, • Love to explore new territory of technology and go deep on domain knowledge., • Ability to think outside-the-box and challenge conventional wisdoms., • Extensive knowledge in deep learning and computer vision techniques., • A passion to explore, improve, automate and optimize distributed systems and tools., • Bonus points for experience at ecommerce or social network or search companies, • Bonus points for large language models, generative AI experience. Pay & Benefits Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $159,000 / year in our lowest geographic market to $324,000 / year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits • Medical/Dental/Vision/Life, AD&D insurance, • Flexible Spending Accounts (FSA) & Health Savings Account (HSA), • Long-term/Short-term Disability, • Employee Assistance Program (EAP) program, • 401K Plan with Company Match, • 18-21 days of the Paid Time Off (PTO) a year based on the tenure, • 12 Public Holidays, • Paid Parental leave, • Pre-tax commuter benefits, • MTV - [Free] Electric Car Charging Station General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at ___. Job Requisition ID: R0061077

We are looking for the best We are seeking a skilled Generative AI Engineer to join our team in leveraging state-of-the-art video generation technologies to build high-fidelity datasets for training and validating autonomous driving systems. The successful candidate will have expertise in building multi-modal generative model training on large-scale dataset, while ensuring that the generated content adheres to physical laws. By joining our team, you will contribute to the development of cutting-edge autonomous driving technologies and help shape the future of transportation. \n Responsibilities • Train and fine-tune multi-modal generative models on large-scale datasets, leveraging diffusion-based training and transformer architectures, • Ensure that generated data meets specific requirements for visual plausibility and fidelity to physical laws., • Work closely with the autonomous driving team to understand their requirements and exploit the generated dataset for training and validating autonomous driving systems. Qualifications • Advanced degree (Ph.D.) or significant industry experience in Computer Science, Electrical Engineering, Robotics, or a related field., • Strong background in machine learning, data science, and advanced programming skills (Python, TensorFlow, PyTorch, etc.), • Extensive experience with modern generative AI models, particularly diffusion, transformer, or other architectures relevant to text-to-video generation Preferred Qualifications • Experience working on autonomous driving projects or related fields, such as robotics or computer vision, is highly valued. Strong background in computer vision, machine learning, or a related field. Experience with large-scale generative models using transformers and diffusion-based training techniques is highly desirable, • Proven problem-solving skills with the ability to analyze complex data problems and develop innovative solutions that drive business outcomes, • Knowledge of physics-based simulations and their application to video generation, • Proven ability to work on complex projects and collaborate with cross-functional teams Interview Process • Application Review - Coding Test - 1st Interview - 2nd Interview - Offer, • The process may vary by position and is subject to change, • Schedule and results will be communicated via the email provided in your application \n Please refer to the videos from___ and ___ for insights into 42dot Autonomous Driving, our autonomous driving AI software. Please upload all submission files in PDF format. ※ Please review the following information before applying. ㆍHow to work in 42dot, ___ ㆍHow to work in 42dot, ㆍ42dot's Employee Engagement Program, ___ ㆍ42dot's Employee Engagement Program,

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Site Reliability Engineer (SRE) engineer, you will be responsible, along with the rest of the team, for both the support, monitoring and evolution of the entire infrastructure used at Reliable Robotics. You will be a stakeholder for various projects to enhance our capabilities by building/deploying new tools, while ensuring the whole team is capable of supporting the tooling itself. You will explore new solutions that would improve the infrastructure, while keeping our users, data and systems safe using new technologies. \n Responsibilities • Infrastructure evolution and upkeep (code review, new infrastructure, upgrades, migration of services, etc), • Advise other teams to help achieve goals in a secure manner, providing tooling and/or infrastructure to safely satisfy their needs, • Collaborate and assist other members of the IT team with tools and/or automation and address issues as needed, • Oncall rotation to support infrastructure and tooling Basic Success Criteria • 3+ years experience using terraform and puppet to support deployment in an AWS environment, • Professional experience with scripting languages such as python, bash or similar, • 3+ years experience managing and working with Grafana, Prometheus or other observability platform, • Experience with device management with MDM, • 3+ years experience with git-ops in a github environment (GHA, GHES, etc), • 3+ years experience working with security teams to design and implement infrastructure and tooling Preferred Success Criteria • Familiarity with AWS GovCloud and Google Cloud offerings, • Familiarity with Google Workspace, Assured workloads and controls, as well as other Google services, • Experience with TLS and mTLS for various protocols (HTTPS, SMTPS and others), • Packaging software experience, • Familiarity with network security protocols and their deployments (802.1x with certs), • Familiarity with EFI network boot protocols, • Ability to work with engineering to identify the source of problems quickly, • Familiarity with authentication protocols such as OAUTH, SAML, SSH Certificates, • Experience with Zero Trust Network concepts a plus \n This role is located at our facility in Mountain View, California. Must be willing to travel up to 10% of the time. The estimated salary range for this position is $145,000 to $190,000. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Job Title: ML Infrastructure Engineer with GCP Location: Mountain View, CA [Needs to be onsite for 1 week once in a quarter on your own expenses] Job Type: W2 Duration: Long Term Note: Only PST and MST candidates are required. Must have: · Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure. · Proficiency in programming languages Python, Java · Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred. · Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn). · Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). · Strong understanding of Containerization technologies (e.g., Docker, Kubernetes). · Excellent problem-solving and communication skills. · Experience with big data technologies such as Apache Spark or Hadoop Preferred. Kindly please share your resumes with ___ or 707-435-3471

About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. ___ was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. Role Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. This is a data science role based in our Palo Alto headquarters. At Glean, data scientists collaborate with engineering, product management and design to • Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers., • Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps., • Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user growth and engagement. You’d be embedded within a specific set of products in Glean’s large offering of search and generative AI products. These products aim to make Glean mission critical for the knowledge worker (i.e. the user) and the firm she works at (i.e. the customer). You’d explore how Glean’s search and generative AI products should intersect. You’d explore different product modalities like web, mobile and desktop apps, as well as experiences where Glean’s embedded into other products like an internal portal or another B2B SaaS product like Slack. You’d explore how unstructured data in documents, structured data and data outside of an organization should come together. You’d look into the knowledge worker as a potential creator of generative AI experiences for others around her, rather than a mere consumer of these experiences. You’d explore knowledge workers in specific job function verticals like engineering and support. You’d think about empowering Glean’s customers to reign in the proliferated set of AI agents around them for maximum value, whether or not they are created by Glean. At the intersection of all these domains is using product analytics to enhance a user and customer’s experience. Combined with enterprise-grade & highly performant AI, which’d be delivered by sister teams, such magical experience is the prerequisite for making Glean grow into over 1B knowledge workers out there. Minimum qualifications: • You have a Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field., • You have 5+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 2 years., • You have strong business sense, and are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights., • You are familiar with BI visualization tools such as Sigma, Metabase, Tableau or Looker., • You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT)., • You are proficient in Python., • You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making., • You are strong at statistics. You have experience in applying these skills into tangible improvements in products, internal tools and processes using A/B testing and non-experimental methods., • You are concise and precise in written and verbal communication. Technical documentation is your strong suit. You are a particularly good fit if: • You have experience in B2B SaaS, especially in the enterprise AI space., • You have a very strong sense of ownership and self-motivation. You are laser focused on delivering business impact while growing as an individual along with Glean., • You are good at managing evolving priorities while bringing core initiatives to a success., • You have experience working with collaborators across large time zone differences. Benefits • Competitive compensation, • Medical, Vision and Dental coverage, • Flexible work environment and time-off policy, • 401k, • Company events, • A home office improvement stipend when you first join, • Annual education stipend, • Wellness stipend, • Healthy lunches and dinners provided daily For California based applicants: The standard base salary range for this position is $175,000 - 210,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

About Inworld At Inworld, we believe the processes of building, scaling, and evolving applications are monsters that consume value before it can reach users. Our mission is to solve evolution and transform static software into AI systems that autonomously evolve to better serve their users. We are building an intelligent runtime to conquer these monsters and make this vision a reality. We are backed by investors such as Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, BITKRAFT, Founders Fund, and First Spark Ventures. Our technology is used by category leaders, including NVIDIA, Microsoft Xbox, Niantic, Wishroll, Little Umbrella and Streamlabs, among many others. Inworld has been recognized by CB Insights as one of the 100 most promising AI companies globally and has been named one of LinkedIn's Top 10 Startups in the USA About the role Our intelligent runtime must seamlessly connect to foundational models - whether via APIs or running locally - and autonomously evolve an application's logic. For this to be possible at scale, not only the runtime has to be reliable and flexible, but the models it uses need to be state-of-the-art quality, exceptionally fast, and cost-effective. We are seeking Staff and Principal level Machine Learning Engineers to solve these critical challenges. You will be responsible for building, optimizing, and deploying production ML systems that power our platform. Your work will focus on the difficult engineering problems of building the engine for the next generation of AI-driven software. Responsibilities * Develop production-scale infrastructure to train, evaluate, and serve ML models efficiently. * Research and implement cutting-edge ML models and techniques to advance Inworld’s core AI capabilities. * Optimize model and system performance for latency, cost, and on-device constraints. * Collaborate with product and research teams to translate novel ideas into robust, production-ready solutions. Qualifications * BA/BS degree or equivalent experience in a relevant technical field. * 5+ years of experience in software development in Python and/or C++. * 4+ years of experience applying ML algorithms in natural language processing, speech processing, and/or action-planning domains. * Fluency with ML frameworks such as PyTorch. * Familiarity with modern AI tools and technologies. * Strong foundation in data structures, algorithms, and software engineering principles. A good fit for this role may have * A passion for learning and staying up-to-date with the latest advancements in ML research and its applications. * Ability to work collaboratively in a fast-paced environment with shifting priorities. * Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models. * Knowledge of working with embedded systems and/or running ML on edge devices. * Background in mathematics and/or physics. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $240,000 - $385,000+ bonus + equity + benefits.

As a technology innovation leadership team in the fast-growing OPPO Research Center, We are looking for talented Machine Learning Engineers to join our Research and Development team. In this position, you will be playing a crucial role in refining our recommender system, search algorithms, and ad targeting algorithms. If you thrive on advancing machine learning technology, leveraging algorithms to address significant business challenges, and are eager to work in a fast-paced, innovative environment, this role is great for you. Key Responsibilities: • Lead initiatives to improve and expand our machine learning algorithms, ensuring they can solve real business problems. Collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems., • Collaborate closely with a skilled team of business analyst, data scientists, and software engineers to ensure your solutions are reliable and efficient to serve millions of users., • Continuously refine machine learning models and algorithms to enhance our recommender systems, search algorithms, and ad targeting algorithms., • Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Statistics, or a closely related field., • 3 years experience with demonstrated ability to solve complex problems and a strong track record of real business problem solution delivery., • Proficiency in Python programming and extensive experience with machine learning libraries. The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Please complete the attached the ___ and submit it. Please make sure you are applying with your Coupang e-mail address. We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The SDPE (Search and Discovery Product Engineering) ML group is Coupang’s advanced machine learning team. It keeps Coupang at the forefront of machine learning technology across multiple application areas including content understanding, recommendation, ranking and more. It is a high impact applied team that works on directly bringing that technology to the product in collaboration with product engineering teams. The main contribution of the team’s work is to drive top line metrics for wowing our customers and thriving Coupang business. As a Senior Staff ML engineer in SDPE ML Group, you will leverage the most advanced algorithms to improve and innovate Coupang’s product search and discovery experience, including query/intent understanding, query recommendation and search widgets quality, and everything that customers see on search page. You are expected to be a leading expert in one or multiple areas including recommendation platform, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects. What You Will Do • Root causes the major defects that are present in Coupang searchers’ experience., • Propose solutions which address these defects and leverage the state-of-the-art technologies, including ML, DL and LLM., • Drive end-to-end ML methods that have a high degree of ambiguity, scale and complexity, • Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production., • Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving., • Run A/B experiments, gather data, and perform statistical analysis to develop insights that drive product requirements., • Present results and explain methods to the leadership., • Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company., • Be a thought leader and able to gain consensus in the organization when needed. Basic Qualifications • 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products, • Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc., • Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow. Successful candidates in this role need to be able to build bridge state of the art approaches to real world impact., • Proficient coding skills in Java, C++ or Python, • Masters or PhD in Comp Sci or related fields Preferred Qualifications • Love to explore new territory of technology and go deep on domain knowledge., • Ability to think outside-the-box and challenge conventional wisdoms., • Extensive knowledge in deep learning and computer vision techniques., • A passion to explore, improve, automate and optimize distributed systems and tools., • PhD in Computer Science or related Engineering majors, • Bonus points for experience at ecommerce or social network or search companies, • Bonus points for large language models, generative AI experience.

This role is ideally located in Mountain View, CA. For the right candidate, there may be an option to work from either New York City, NY, San Francisco, CA or London, UK. Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. AI’s cyberattack capability is increasing rapidly; recently, there has been a surge in the number of zero-day exploits found by AI in well-tested software. However, fixing or hardening code often lags behind by months with human experts struggling to keep up with the long log of vulnerability reports. The danger is exacerbated by open-source models who are becoming more capable at cyberattack and are more readily available by malicious actors. The goal of our project is to leverage AI for the defense: (1) automatically fix discovered vulnerabilities and (2) harden code either through checked annotations or through transformations to safer coding practices in the same language. Our team collaborates closely with a wide variety of teams across Google/Alphabet, leveraging Google DeepMind’s expertise to deploy advanced machine learning algorithms with the goal of hardening code for Alphabet systems and beyond. You will be developing an agent that leverages powerful AI models, compilers, runtimes, static/dynamic analyzers, and formal verification tools to harden code against a wide range of vulnerabilities across different programming languages and frameworks in collaboration with experts across these areas. As a part of the project, • You will be rapid-prototyping initial concepts and designing and running experiments to achieve our goals., • Your work will be influential both in the research community and also in products that promise to have tremendous impact. We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and at times change course if our ideas don’t work out, so flexibility and adaptability to work is a must. In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience: • MSc or PhD/DPhil degree in Computer Science (or relevant majors), or equivalent practical experience., • Proven knowledge and experience of C/C++ and Python., • Experience with developer tools such as compilers, runtimes, dynamic/static analyzers, and web frameworks., • Hands-on experience with large scale code transformations of existing codebases., • Hands-on experience building and/or working with large scale infrastructure such as data processing pipelines and distributed processing. In addition, the following would be an advantage: • AI-Based Code Generation., • Familiarity with well-known code security practices., • Knowledge and understanding of prominent ML frameworks., • Proven experience of prominent ML frameworks is highly desirable, • Independent, self-starter attitude, • Passion for the mission above The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. 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.

We are looking for the best At 42dot, our Senior Machine Learning Engineers conduct research and development on machine learning algorithms to ensure safe autonomous driving. We address complex challenges that aren't easily solved through conventional means, aiming to achieve human-level natural autonomous driving. Additionally, we collaborate with various teams across 42dot to leverage machine learning effectively. \n Responsibilities • Dataset and Evaluation: We focus on curating high-quality datasets tailored to autonomous driving scenarios and designing robust evaluation metrics to accurately assess algorithm performance., • Active Learning: Our team explores techniques for efficiently selecting and labeling informative data points, minimizing labeling efforts while enhancing model performance., • Network Architecture Search: We investigate methods for autonomously discovering optimal neural network architectures, specifically tailored for label generation from sensor and video data in autonomous driving contexts., • Transfer/Low-shot/Long-tail Learning: Our efforts include developing strategies to leverage knowledge from related tasks or domains, addressing scenarios with limited labeled data (low-shot learning), and handling class distribution imbalances (long-tail learning) commonly found in autonomous driving datasets., • Efficient Learning and Inference: We optimize learning algorithms and inference processes to ensure resource-efficient utilization, crucial for real-time deployment in autonomous driving systems., • Privacy: Our team prioritizes the development of privacy-preserving techniques, ensuring the handling of sensitive data while maintaining high-performance label generation, in compliance with privacy regulations and safeguarding user information. Qualifications • Minimum of 7 years of relevant experience, • Master's or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field relevant to machine learning, or equivalent experience, • Strong background in Linear Algebra, Probability, Signal Processing, and machine learning concepts, • Proficient programming skills in languages such as C/C++, Python, and others Preferred Qualifications • Experience in development related to autonomous driving and robotics, including Object Detection, Semantic Segmentation, Depth Estimation, and Transformer-based models., • Experience in building and utilizing automated learning pipeline systems., • Track record of publications or contributions in relevant fields, such as CVPR, ICCV, ECCV, NeurIPS, AAAI, etc., • Enjoyment in discovering and solving new problems in the field. \n Please refer to the videos from___ and ___ for insights into 42dot Autonomous Driving, our autonomous driving AI software. Please upload all submission files in PDF format. ※ Please review the following information before applying. ㆍHow to work in 42dot, ___ ㆍHow to work in 42dot, ㆍ42dot's Employee Engagement Program, ___ ㆍ42dot's Employee Engagement Program,

Who we are? Typeface is on a mission to help everyone express their unique imagination. We believe technology is a creative partner that empowers any company to tell their unique stories faster and easier than ever before. Generative AI platforms represent a major breakthrough to create content at tremendous speed and scale. For enterprises to successfully leverage their potential, they need to include their unique voice and style and ensure responsible AI practices. We unite content velocity with brand personalization and safety, so that every company can achieve its creative potential. We are looking for passionate individuals who want to help build a fast-growing GenAI company from the ground up. Why join us? • Bleeding edge technology: We explore uncharted territory at the intersection of art and science. We strive to revolutionize content, amplifying human creativity with cutting-edge AI in a safe and responsible way., • Best-in-class product: We built the leading enterprise-grade generative AI solution, so any business, from startups to Fortune 500 companies, can 10x personalized content at scale. Typeface combines the best-in-class AI platforms across the board with our own brand-personalized AI model to hyper-personalize content at scale with a responsible AI approach., • World-class team: Founded by the former CPO & CTO of Adobe, Abhay Parasnis, and a highly experienced team with a proven track record of building revolutionary, long-lasting AI, SaaS, and media technologists that are completely focused on customer impact., • Top-tier Investors: Backed by top-tier venture capital firms: Lightspeed Venture Partners, Salesforce Ventures, GV (Google Ventures), Madrona, Menlo Ventures, and M12 (Microsoft’s Venture Fund). ___., • Rapid customer traction: Overwhelming demand from Fortune 500 companies and popular digital-native brands from every industry., • Awards & recognition: Honored to be a winner of 10+ industry awards for our unique approach to enterprise GenAI, including Fast Company’s___“Top 5 Next Big Things in Tech” and Adweek’s AI Company of the Year. As a Senior Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. Key Responsibilities: We are looking for a strong Senior Machine Learning engineer to join our team and help us build innovative Generative AI solutions that deliver the power of Generative AI to our customers. You will be responsible for: • Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content, • Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch., • Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale., • Investigate, prototype and deliver innovative solutions, • Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth, • Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics Qualifications: • Master’s or PhD degree in Computer Science or a related field, • Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems., • 5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale, • Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects, • Proficiency in Python, C/C++ (or equivalent), • Ability to create self-contained, reusable, and testable modules and passionate about prototyping Preferred Qualifications: • Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms, • Hands-on experience in deploying and tuning Generative AI models in cloud or on local system is a plus, • Experience working at a high-growth startup or tech company, • Publications and research experiences in ML venues and/or vision/language applications are a plus Location: This is a hybrid role reporting to our Palo Alto office 3 days a week. Base Salary: The salary range for this role is $185,000-$220,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits for Full-time Employees: • Medical, dental, and vision insurance coverage for all employees, • Competitive salary and equity compensation, • Flexible PTO, • Parental Leave, • Hybrid schedule with company provided lunch when in office, • Opportunities for professional growth and development, • Work with a fast-growing startup and be a part of an exciting journey Equality Opportunity Statement Typeface is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity & Inclusion Statement At Typeface, we embrace everyone and believe that diversity and inclusion are essential to our success. We are committed to creating a workplace that is welcoming and inclusive for all employees, regardless of their background or identity. We value diversity in all its forms and strive to cultivate a culture where all employees can bring their best selves to work.

Your Vision, Our Platform: Shape the Future of Desktop Solutions with Us! Are you ready to elevate your career in a role that truly makes an impact? Join our innovative startup, dedicated to revolutionizing Cloud Desktop solutions, where your expertise and positive attitude will shape the future of how businesses operate. We’re not just looking for technical proficiency; we seek enthusiastic individuals with a growth mindset, eager to learn and adapt as we grow together. With us, you will be more than just an employee—you'll be a vital part of a mission that matters! The Opportunity: Senior DevOps Engineer As our Senior DevOps Engineer, you will be at the forefront of our mission, empowering teams to deliver exceptional service to our valued clients. This is not just another job; it’s an opportunity to lead with purpose and a passion for continuous development, ensuring our clients feel supported and appreciated every step of the way. Here, your role is dynamic, and your contribution is crucial. Embrace cross-functional collaboration as we all chip in to create solutions that propel our company forward, regardless of traditional job boundaries. What You’ll Do • Lead Collaboration: Cultivate a culture of cross-functional teamwork, engaging with various departments to understand client needs and craft personalized solutions that foster loyalty and trust., • Ensure Stellar Support: Take charge of troubleshooting and monitoring to guarantee that our clients receive top-notch, consistent support every day, while welcoming opportunities to learn new skills and roles., • Optimize Infrastructure: Implement Kubernetes autoscaling for nodes and pods, ensuring our infrastructure remains agile and responsive to evolving needs, while you grow your technical expertise in the process., • Establish Best Practices: Champion monitoring and logging practices that uphold the reliability and security of our systems, always on the lookout for new strategies to implement., • Enhance Systems: Utilize your Linux expertise to streamline systems and processes, driving efficiency in our workflows and continuously searching for innovative solutions. What You Bring: • Growth Mindset: A positive attitude and an eagerness to embrace learning opportunities—encouraging personal and professional development in yourself and others., • Integrity and Ownership: A commitment to transparency in your work, celebrating successes and constructively learning from challenges, while inspiring others to do the same., • Effective Communication: Emotional intelligence and strong communication skills, fostering trust and collaboration with clients and teammates alike in an ever-evolving landscape., • Technical Acumen: Proven experience with Kubernetes and container architectures, as well as proficiency managing databases like PostgreSQL and Kafka, coupled with a willingness to expand your skill set., • Proactive Leadership: A self-starter attitude that thrives in a remote work environment, demonstrating initiative and leadership daily—ready to pitch in wherever needed to meet our ambitious goals. Join Us! We believe that together, we can unlock potential—both for our clients and ourselves. If you're excited about the challenges and rewards that come with a startup environment and are eager to learn and grow every day, we want to meet you! Let’s transform the future of Cloud Desktop solutions together. Apply now to be part of a dynamic and forward-thinking team that appreciates your contributions and empowers your journey of growth. Why Join Us? Empower Your Autonomy: Thrive in our remote-first culture that encourages you to take ownership of your work. Enjoy the flexibility that promotes a healthy work-life balance while driving impactful results. Cultivate a Growth Mindset: Be a part of a dynamic and entrepreneurial team where growth, learning, and continuous improvement are core values. Here, your personal development is as vital as the success of the organization, and we actively encourage you to reach new heights. Champion Integrity and Change: Engage in a culture built on high integrity and honesty, where your contributions can genuinely make a difference in the lives of our clients. Your work will resonate within our community, positively impacting those who rely on our innovative solutions. Innovate and Elevate: Experience the thrill of tackling challenging projects that shape the future of Cloud Desktop solutions. With diverse opportunities to develop new skills and expand your career trajectory, you will be equipped to influence the direction of our offerings and your professional journey. Collaborate with Purpose: Step into a leadership role that blends technical expertise with client-focused service. Here, every voice is valued, and the collective success of our team is driven by collaboration and a shared commitment to excellence. If you’re ready to embark on a transformative journey with a team that prioritizes integrity, growth, and client success, we want to hear from you! Apply today and join us as we redefine the Cloud Desktop experience together, elevating not just our clients but your career to new heights! • 5 years of configuration management, • 3 years of containerization experience, • 4 years of application administration, • 3 years scripting (Python, Bash, Perl)., • 3 years working w/ cloud vendors, • 5 years Linux Desktop Administration Bonus Experience • Git Ops, • S3 Administration, • Elasticsearch Management, • ELK Stack, • Open Telemetry/Jager tracing, • Mac desktop admin exp, • Network simulators Apporto is an international company. Our benefits will very from country to country. In the United States, we offer benefits on the first day of employment through Trinet. The benefits we offer in the United States include: Health Care Plan (Medical, Dental & Vision) Life Insurance (Basic, Voluntary and AD&D) Paid Time Off (Vacation, Sick and Public Holidays) Short Term & Long Term Disability, 401k. Apporto is an equal opportunity workplace. 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 or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Please complete the attached the ___ and submit it. Please make sure you are applying with your Coupang e-mail address. We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview: The SDPE (Search and Discovery Product Engineering) ML group is Coupang’s advanced machine learning team. It keeps Coupang at the forefront of machine learning technology across multiple application areas including content understanding, recommendation, ranking and more. It is a high impact applied team that works on directly bringing that technology to the product in collaboration with product engineering teams. The main contribution of the team’s work is to drive top line metrics for wowing our customers and thriving Coupang business. As a Senior Staff ML engineer in SDPE ML Group, you will leverage the most advanced algorithms to improve and innovate Coupang’s product search and discovery experience, including query/intent understanding, query recommendation and search widgets quality, and everything that customers see on search page. You are expected to be a leading expert in one or multiple areas including recommendation platform, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects. What You Will Do: • Root causes the major defects that are present in Coupang searchers’ experience., • Propose solutions which address these defects and leverage the state-of-the-art technologies, including ML, DL and LLM., • Drive end-to-end ML methods that have a high degree of ambiguity, scale and complexity, • Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production., • Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving., • Run A/B experiments, gather data, and perform statistical analysis to develop insights that drive product requirements., • Present results and explain methods to the leadership., • Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company., • Be a thought leader and able to gain consensus in the organization when needed. Basic Qualifications: • 12+ years working experience in the engineering teams that build large-scale ML-driven user-facing products, • Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc., • Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow. Successful candidates in this role need to be able to build bridge state of the art approaches to real world impact., • Proficient coding skills in Java, C++ or Python, • Masters or PhD in Comp Sci or related fields Preferred Qualifications: • Love to explore new territory of technology and go deep on domain knowledge., • Ability to think outside-the-box and challenge conventional wisdoms., • Extensive knowledge in deep learning and computer vision techniques., • A passion to explore, improve, automate and optimize distributed systems and tools., • PhD in Computer Science or related Engineering majors, • Bonus points for experience at ecommerce or social network or search companies, • Bonus points for large language models, generative AI experience. Pay & Benefits Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $159,000 / year in our lowest geographic market to $324,000 / year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits • Medical/Dental/Vision/Life, AD&D insurance, • Flexible Spending Accounts (FSA) & Health Savings Account (HSA), • Long-term/Short-term Disability, • Employee Assistance Program (EAP) program, • 401K Plan with Company Match, • 18-21 days of the Paid Time Off (PTO) a year based on the tenure, • 12 Public Holidays, • Paid Parental leave, • Pre-tax commuter benefits, • MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Please complete the attached the ___ and submit it. Please make sure you are applying with your Coupang e-mail address. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at ___.

We are looking for the best At 42dot, our Machine Learning Engineers conduct research and development on machine learning algorithms to ensure safe autonomous driving. We address complex challenges that aren't easily solved through conventional means, aiming to achieve human-level natural autonomous driving. Additionally, we collaborate with various teams across 42dot to leverage machine learning effectively. \n Responsibilities • Dataset and Evaluation: We focus on curating high-quality datasets tailored to autonomous driving scenarios and designing robust evaluation metrics to accurately assess algorithm performance., • Active Learning: Our team explores techniques for efficiently selecting and labeling informative data points, minimizing labeling efforts while enhancing model performance., • Network Architecture Search: We investigate methods for autonomously discovering optimal neural network architectures, specifically tailored for label generation from sensor and video data in autonomous driving contexts., • Transfer/Low-shot/Long-tail Learning: Our efforts include developing strategies to leverage knowledge from related tasks or domains, addressing scenarios with limited labeled data (low-shot learning), and handling class distribution imbalances (long-tail learning) commonly found in autonomous driving datasets., • Efficient Learning and Inference: We optimize learning algorithms and inference processes to ensure resource-efficient utilization, crucial for real-time deployment in autonomous driving systems., • Privacy: Our team prioritizes the development of privacy-preserving techniques, ensuring the handling of sensitive data while maintaining high-performance label generation, in compliance with privacy regulations and safeguarding user information. Qualifications • Minimum of 7 years of relevant experience, • Master's or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field relevant to machine learning, or equivalent experience, • Strong background in Linear Algebra, Probability, Signal Processing, and machine learning concepts, • Proficient programming skills in languages such as C/C++, Python, and others Preferred Qualifications • Experience in development related to autonomous driving and robotics, including Object Detection, Semantic Segmentation, Depth Estimation, and Transformer-based models., • Experience in building and utilizing automated learning pipeline systems., • Track record of publications or contributions in relevant fields, such as CVPR, ICCV, ECCV, NeurIPS, AAAI, etc., • Enjoyment in discovering and solving new problems in the field. \n Please refer to the videos from___ and ___ for insights into 42dot Autonomous Driving, our autonomous driving AI software. Please upload all submission files in PDF format. ※ Please review the following information before applying. ㆍHow to work in 42dot, ___ ㆍHow to work in 42dot, ㆍ42dot's Employee Engagement Program, ___ ㆍ42dot's Employee Engagement Program,

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. Engineers are encouraged to work across multiple areas of the company, and as a result, all engineers and researchers share the title "Member of Technical Staff." We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. xAI does not have recruiters. Every application is reviewed directly by a technical member of the team. • Python, • JAX, • Rust, • Spark The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation. • Building petabyte-scale, high-throughput data processing systems., • Managing workloads across large cloud compute clusters., • Pre-processing datasets for AI training., • Strong engineering skills with passion to improve different aspects of data and model., • Has worked on one or more modalities other than text and demonstrated exceptional work., • Building bespoke data processing libraries from scratch., • Designing and implementing distributed systems in Rust., • Keeping up with state-of-the-art techniques for preparing AI training data., • Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources. After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: • Coding assessment in a language of your choice., • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present your past exceptional work to a small audience., • Meet and greet with the wider team. Our goal is to finish the main process within one week. We don’t rely on recruiters for assessments. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. $180,000 - $440,000 USD

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. You will work directly with our enterprise customers, owning the strategy and execution of Vision or Video Understanding integrations. You’ll act as a specialized AI startup CTO, focusing on vision-driven technologies, leading high-stakes projects, and delivering measurable impact. If you excel at combining deep technical expertise with customer-focused innovation, particularly in the Vision domain, we’d love to hear from you. Your day-to-day work may include: • Designing and building end-to-end AI solutions, from understanding customer pain points to scoping product specs and deploying VLM-powered vision interfaces., • Benchmarking vision models, writing evaluations, or analyzing performance to identify weaknesses in image recognition, object detection, or visual understanding., • Improving model performance through system prompt tuning and fine-tuning VLMs., • Working with multimodal teams to generate data for research efforts., • Generating synthetic data or kicking off campaigns to generate human data with the help of our AI tutors., • Analyzing vision request logs, image data, or video inputs to enhance system accuracy and user experience., • Building internal tools to automate VLM workflows, such as image processing pipelines or real-time visual analysis., • Deep expertise in working with vision or video understanding models, delivering robust and scalable solutions., • Ability to handle ambiguity, adapt to evolving requirements, and prioritize effectively in a fast-paced startup setting., • Exceptional communication skills to clarify specific requirements with customers and drive projects to successful completion., • Emphasis on designing, implementing, and maintaining efficient architectures, including image recognition, object detection, and real-time visual processing., • Proficiency in managing complex codebases and optimizing vision data pipelines for high-throughput, low-latency performance., • Define critical benchmarks for Vision or Video Understanding performance: Establish key performance benchmarks tailored to enterprise vision use cases, such as image classification accuracy, object detection precision, and real-time latency, reflecting customer data distributions., • Initiate human data collection: Design and manage campaigns to acquire high-quality image and video data from diverse enterprise contexts, supporting model training and validation., • Drive Vision model integration with enterprise partners: Collaborate with cross-functional teams to integrate Vision capabilities into enterprise workflows, enabling seamless adoption in areas like automated quality control, surveillance, and augmented reality. An ideal candidate meets at least the following: • Strong engineering background., • Experience interfacing between technical and customer-facing teams., • Excellent verbal and written communication skills in English., • Ability to translate business and vision-specific product needs into technical solutions., • Proven experience implementing VLM or machine learning products, including APIs, back-end, and front-end vision interfaces., • Strong proficiency in Python and/or TypeScript., • Solid understanding of HTTP protocol and real-time communication protocols (e.g., WebRTC for video streaming). Candidates may distinguish themselves with: • Building evaluations for Vision capabilities, such as image recognition accuracy or robustness of object detection., • Demonstrating expertise in machine learning fundamentals, including vision model evaluation, training, or fine-tuning., • Deploying Vision models to production, optimizing for low-latency and high-reliability environments., • Writing developer documentation or creating vision-specific SDKs., • Working with large-scale image or video datasets, optimizing vision processing pipelines, or scaling systems for enterprise-grade workloads., • Using infrastructure tools like Pulumi or Terraform for deploying Vision systems. After submitting your application, our team reviews your CV and Statement of Exceptional Work. If selected, you’ll be invited to a 15-minute technical phone interview where we’ll discuss your background in VLMs/LLMs. Successful candidates proceed to the main process: • 15 min Technical Screen, • 2x 45 min Coding Interview (focused on Vision models or related challenges) The Statement of Exceptional Work is a critical factor in our evaluation. We aim to complete the main process within one week. All applications are reviewed by our technical team, not recruiters. Interviews are conducted via Google Meet or in-person. • Competitive cash-based compensation, • xAI equity, • Private health and dental insurance, • Unlimited time off subject to prior approval $180,000 - $440,000 USD xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For Los Angeles County (unincorporated) Candidates: xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: • Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;, • Interacting with internal and/or external clients and colleagues; and, • Exercising sound judgment.

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. Engineers are encouraged to work across multiple areas of the company, and as a result, all engineers and researchers share the title "Member of Technical Staff." We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. xAI does not have recruiters. Every application is reviewed directly by a technical member of the team. • Python, • JAX, • Rust, • Spark The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation. • Building petabyte-scale, high-throughput data processing systems., • Managing workloads across large cloud compute clusters., • Pre-processing datasets for AI training., • Strong engineering skills with passion to improve different aspects of data and model., • Has worked on one or more modalities other than text and demonstrated exceptional work., • Building bespoke data processing libraries from scratch., • Designing and implementing distributed systems in Rust., • Keeping up with state-of-the-art techniques for preparing AI training data., • Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources. After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: • Coding assessment in a language of your choice., • Systems hands-on: Demonstrate practical skills in a live problem-solving session., • Project deep-dive: Present your past exceptional work to a small audience., • Meet and greet with the wider team. Our goal is to finish the main process within one week. We don’t rely on recruiters for assessments. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. $180,000 - $440,000 USD

In the cloud, every second counts. On the leading edge of security, Sysdig stops attacks in real-time by instantly detecting changes in cloud security risk with runtime insights and ___ Falco. Trusted by a large enterprise customer base, we are a well-funded startup, passionate open source enthusiasts at heart, and problem-solvers who are building and delivering powerful solutions to secure cloud-native applications. We have an organizational focus on delivering value to customers. We appreciate diverse opinions and open dialogue to spur ideas and we believe in working together to achieve our goals. We're an international company that understands how to cultivate an inclusive environment across all teams. And we're a great place to work too - we've been named a "Best Places to Work" by Inc, the San Francisco Business Time, and Built In, with recognitions ranging from "Best Benefits" to a "Best Company for Happiness". We are looking for driven team members who want to join us on our mission to lead cloud security globally. Does this sound like the right place for you? • Infrastructure Management: Participate in the design, implementation, and maintenance of Sysdig's Infrastructure at scale on different clouds and on-prem., • Automation and Optimization: Create / improve automation tools for infrastructure deployment, monitoring, and maintenance., • Incident Management: Participate in incident response efforts, perform root cause analysis, and implement preventive measures., • Compliance and Security: Ensure compliance with industry standards for security and data protection., • Data-store Management: Participate in handling infrastructure of Sysdig's Data-stores and the unique problems of data-stores resiliency, scalability and cost optimization., • You will bring expertise in infrastructure management, cloud technologies, and automation tools., • You will bring expertise in diagnosing issues, performing root cause analysis, and implementing solutions., • You will identify opportunities for improvement and inspire creativity within the team, • You have 2 years to 8 years of hands-on experience handling production infrastructure., • Comfortable writing scripts in Bash, Python, or GoLang and working with Linux and command line interfaces., • Hands-on experience with cloud platforms and Kubernetes, • Hands-on experience in infra design problems at scale, • Hands-on experience in building fault tolerant infra architecture, • Extra days off to prioritize your well-being, • Mental health support for you and your family through the Modern Health app #LI- FD1#LI-onsite

This is a hybrid role based in our San Francisco or Palo Alto offices (Palo Alto preferred) and will require you to be in the office on Tuesdays and Thursdays. What’s So Interesting About This Role? At Grindr, we’re at the dawn of an AI-driven evolution, and you’ll be a key player helping to shape it. This is your chance to harness cutting-edge machine learning to redefine how millions of people in the LGBTQ+ community around the world connect —whether it’s an entertaining chat, a casual encounter or long-term relationship. We’re doubling down on ML as the future of Grindr, and in these early days, your work will leave a mark on a one-of-a-kind platform at global scale. * Early-Stage Impact: It's still early days for ML at Grindr, so you'll be joining a focused team surrounded by high-impact, greenfield work, setting the stage for our long term ML strategy. * Recommendations That Reshape: Build systems that match millions to their next big moment, adapting to a range of intents with impact you can feel. * Conversations That Connect: Use LLMs to uncover insights, and help users find their spark with precision and flair. What’s the Job? * Architect scalable recommendation systems to serve millions, balancing performance and innovation. * Leverage the latest LLMs to process vast conversation data and enhance user connections. * Prototype, iterate, and ship production-ready ML solutions that solve real problems for our user. * Collaborate cross-functionally with engineering, data science and product teams to turn bold ideas into tangible results. * Drive the exploration of emerging AI tools and techniques to keep Grindr’s tech stack ahead of the curve. What We’ll Love About You * 7+ years of experience building ML systems with a focus on 0-to-1 system development and creating new capabilities from scratch. Experience with recommendation systems or similar is a plus. * Proven ability to deliver at scale, with fluency in Python and popular ML frameworks. * A scrappy mindset—you tackle messy challenges head-on and get real results. * Experience using data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark) * Experience building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras. * Experience with any public cloud environment - AWS, GCP or Databricks. We’ll Really Swoon If You Have… * Expertise in building and maintaining LLM workflows for nuanced, human-driven tasks. * A track record of crafting recommendation systems that hit the mark for diverse user needs. * Thrives in a fast-paced, outcome-driven environment with lots of cross-functional collaboration. * A proven history of taking product ownership and thoughtfully addressing the unique needs of a specific user group, from early-stage concept to full-scale rollout. What you'll love about us * Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just. * Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents. * Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S. * Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs. * Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. * Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend. About Grindr Grindr is building the global gayborhood in your pocket. With more than 13.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. Since 2015, ___ has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world. Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1. Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a ___ of strong financial performance and plans for continued headcount growth, we’re building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture. Come be a part of this exciting journey with us. Grindr is an equal-opportunity employer To learn more about how we handle the personal data of applicants, visit our ___.

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. You will work directly with our enterprise customers, owning the strategy and execution of Voice AI solutions. You’ll act as a specialized AI startup CTO, focusing on voice-driven technologies, leading high-stakes projects, and delivering measurable impact. If you excel at combining deep technical expertise with customer-focused innovation, particularly in the Voice AI domain, we’d love to hear from you. Your day-to-day work may include: • Designing and building end-to-end Voice AI solutions, from understanding customer pain points to scoping product specs and deploying LLM-powered voice interfaces., • Benchmarking voice models, writing evaluations, or analyzing performance to identify weaknesses in speech recognition, synthesis, or natural language understanding., • Improving model performance through system prompt tuning, fine-tuning voice-specific models, or optimizing for low-latency voice interactions., • Analyzing voice request logs, prompt data, or audio inputs to enhance system accuracy and user experience., • Building internal tools to automate voice AI workflows, such as transcription pipelines or real-time voice processing., • Enhancing xAI’s Voice AI SDKs or developer documentation based on customer feedback and enterprise use cases., • Deep expertise in solving enterprise voice AI challenges, delivering robust and scalable voice-driven solutions., • Proven ability to ship high-quality code and complete voice AI projects in demanding environments., • Ability to handle ambiguity, adapt to evolving requirements, and prioritize effectively in a fast-paced startup setting., • Exceptional communication skills to clarify voice-specific requirements with customers and drive projects to successful completion., • Emphasis on designing, implementing, and maintaining efficient voice AI architectures, including speech-to-text, text-to-speech, and real-time voice processing., • Proficiency in managing complex codebases and optimizing voice data pipelines for high-throughput, low-latency performance., • Define critical benchmarks for Voice AI performance: Establish key performance benchmarks tailored to enterprise voice use cases, such as speech recognition accuracy, natural language understanding, and real-time latency, reflecting customer prompt distributions., • Initiate human data collection for Voice AI: Design and manage campaigns to acquire high-quality voice and conversational data from diverse enterprise contexts, supporting model training and validation., • Drive Voice AI integration with enterprise partners: Collaborate with cross-functional teams to integrate Voice AI capabilities into enterprise workflows, enabling seamless adoption in areas like customer service, virtual assistants, and telephony systems. An ideal candidate meets at least the following: • Strong engineering background., • Experience interfacing between technical and customer-facing teams, • Excellent verbal and written communication skills in English., • Ability to translate business and voice-specific product needs into technical solutions., • Proven experience implementing voice AI or machine learning products, including APIs, back-end, and front-end voice interfaces., • Strong proficiency in Python and/or TypeScript., • Solid understanding of HTTP protocol and real-time communication protocols (e.g., WebRTC). Candidates may distinguish themselves with: • Building evaluations for voice AI capabilities, such as speech recognition accuracy or naturalness of synthesized speech., • Demonstrating expertise in machine learning fundamentals, including voice model evaluation, training, or fine-tuning., • Deploying voice AI models to production, optimizing for low-latency and high-reliability environments., • Writing developer documentation or creating voice-specific SDKs., • Working with large-scale audio datasets, optimizing voice processing pipelines, or scaling systems for enterprise-grade workloads., • Using infrastructure tools like Pulumi or Terraform for deploying voice AI systems. After submitting your application, our team reviews your CV and Statement of Exceptional Work. If selected, you’ll be invited to a 15-minute technical phone interview where we’ll discuss your background and voice AI specialization. Successful candidates proceed to the main process, consisting of four technical interviews: • 15 min Technical Screen, • 2x 45 min Coding Interview (focused on voice AI or related challenges) The Statement of Exceptional Work is a critical factor in our evaluation. We aim to complete the main process within one week. All applications are reviewed by our technical team, not recruiters. Interviews are conducted via Google Meet or in-person. • Competitive cash-based compensation, • xAI equity, • Private health and dental insurance, • Unlimited time off subject to prior approval $180,000 - $440,000 USD xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For Los Angeles County (unincorporated) Candidates: xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: • Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;, • Interacting with internal and/or external clients and colleagues; and, • Exercising sound judgment.

Who we are? Typeface is on a mission to help everyone express their unique imagination. We believe technology is a creative partner that empowers any company to tell their unique stories faster and easier than ever before. Generative AI platforms represent a major breakthrough to create content at tremendous speed and scale. For enterprises to successfully leverage their potential, they need to include their unique voice and style and ensure responsible AI practices. We unite content velocity with brand personalization and safety, so that every company can achieve its creative potential. We are looking for passionate individuals who want to help build a fast-growing GenAI company from the ground up. Why join us? • Bleeding edge technology: We explore uncharted territory at the intersection of art and science. We strive to revolutionize content, amplifying human creativity with cutting-edge AI in a safe and responsible way., • Best-in-class product: We built the leading enterprise-grade generative AI solution, so any business, from startups to Fortune 500 companies, can 10x personalized content at scale. Typeface combines the best-in-class AI platforms across the board with our own brand-personalized AI model to hyper-personalize content at scale with a responsible AI approach., • World-class team: Founded by the former CPO & CTO of Adobe, Abhay Parasnis, and a highly experienced team with a proven track record of building revolutionary, long-lasting AI, SaaS, and media technologists that are completely focused on customer impact., • Top-tier Investors: Backed by top-tier venture capital firms: Lightspeed Venture Partners, Salesforce Ventures, GV (Google Ventures), Madrona, Menlo Ventures, and M12 (Microsoft’s Venture Fund). ___., • Rapid customer traction: Overwhelming demand from Fortune 500 companies and popular digital-native brands from every industry., • Awards & recognition: Honored to be a winner of 10+ industry awards for our unique approach to enterprise GenAI, including Fast Company’s___“Top 5 Next Big Things in Tech” and Adweek’s AI Company of the Year. As a Senior Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. Key Responsibilities: We are looking for a strong Senior Machine Learning engineer to join our team and help us build innovative Generative AI solutions that deliver the power of Generative AI to our customers. You will be responsible for: • Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content, • Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch., • Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale., • Investigate, prototype and deliver innovative solutions, • Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth, • Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics Qualifications: • Master’s or PhD degree in Computer Science or a related field, • Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems., • 10+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale, • Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects, • Proficiency in Python, C/C++ (or equivalent), • Ability to create self-contained, reusable, and testable modules and passionate about prototyping Preferred Qualifications: • Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms, • Hands-on experience in deploying and tuning Generative AI models in cloud or on local system is a plus, • Experience working at a high-growth startup or tech company, • Publications and research experiences in ML venues and/or vision/language applications are a plus Location: This is a hybrid role reporting to our Palo Alto office 3 days a week. Base Salary: The salary range for this role is $205,000-$235,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits for Full-time Employees: • Medical, dental, and vision insurance coverage for all employees, • Competitive salary and equity compensation, • Flexible PTO, • Parental Leave, • Hybrid schedule with company provided lunch when in office, • Opportunities for professional growth and development, • Work with a fast-growing startup and be a part of an exciting journey Equality Opportunity Statement Typeface is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity & Inclusion Statement At Typeface, we embrace everyone and believe that diversity and inclusion are essential to our success. We are committed to creating a workplace that is welcoming and inclusive for all employees, regardless of their background or identity. We value diversity in all its forms and strive to cultivate a culture where all employees can bring their best selves to work.

We are looking for a Software Engineer in AI Tooling. In this role, you will build full-stack applications and internal tools for improving the efficiency of robot training, data collection, and evaluation. These tools will be used by hundreds of robot operators. Responsibilities: • 4 years of professional experience in Computer Science, Data Science, Robotics, or an equivalent field, • Strong software engineering skills, • Experience in JavaScript / React and SQL, • Thrives in ambiguity, • Experience in Python, especially Numpy and PyTorch, • Experience with label annotation, data warehousing, • Experience in robotics, machine learning, data analysis, • Experience in Linux, server and fleet management Compensation At 1X your work and results will be rewarded with a total rewards package consisting of a base salary, stock options and benefits. Base salary range is $130,000 to $250,000. Your actual salary will be based on your knowledge, skills and experience. Location Policy We believe the best work is done when collaborating and therefore require in-person presence in our office locations. We're excited to get to know you and the prospects of having you on board!

___ is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications. WHO ARE WE LOOKING FOR? The team is looking for a skilled Machine Learning Engineer to help advance a cutting-edge machine learning system for perception, prediction, and motion planning in autonomous driving. You will have the chance to design and implement innovative machine learning models for our next-generation autonomous vehicle platform, influencing millions of Toyota production vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity. \n RESPONSIBILITIES • Design and develop advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning and large-scale data analysis., • Deploy scalable and efficient ML models on our autonomous vehicle platform., • Integrate modern technologies with rigorous safety standards while maintaining cost efficiency., • Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation., • Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions, • Work in a high-velocity environment and employ agile development practices., • Exhibit a "Giver" mindset, proactively asking, “What can I do for you?” to facilitate production development processes while maintaining a "get things done" mentality., • Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions., • Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week. MINIMUM QUALIFICATIONS • MS or PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience., • 3+ years of experience with Python, any major deep learning framework, and software engineering best practices, • Comfortable in writing C++ code to help integrate with our autonomous vehicle platform., • 2+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning., • 2+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization., • Strong communication skills with the ability to communicate concepts clearly and precisely. NICE TO HAVES • Published research at top-tier conferences (NeurIPs, CVPR and similar)., • Proven track record of deploying ML models at scale in self-driving or related fields., • Familiarity with production-level coding in time-limited task schedules., • Experience with computer vision (___ geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping), • Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control), • Experience with temporal data and/or sequential modeling., • Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation). \n For California: The base pay for this position ranges from $140,000- $230,000 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our ___ for more details.

Wanna join the adventure? Loft Orbital is revolutionizing access to space by building reliable, shareable satellites that drastically reduce the time and complexity traditionally required to get to orbit. We operate satellites, fly customer payloads, and handle entire missions from end-to-end. We’re a close-knit team of space enthusiasts, software experts, and cutting-edge technologists, all working together to make space simple for our customers. As a SeniorSite Reliability Engineer on our Cloud Infrastructure Team, you’ll play a pivotal role in maintaining and scaling our ground segment infrastructure. You’ll collaborate across development, operations, and IT to ensure the integration, delivery, and reliability of services that support our space operations on Earth and in orbit. This is an exciting opportunity to work on cutting-edge technology and help build modern automated space infrastructure. This is not your typical SRE role, we apply DevOps principles even to spacecraft control. Yes, we call it SatDevOps, and we’ll train you to operate our satellites! *Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other marginalized people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren’t afraid to challenge assumptions. We strongly encourage you to apply, even if you don’t check all the boxes. \n About the Role: • Collaborate with developers and satellite operators to foster a strong SatDevOps culture., • Design, implement, and maintain scalable, reliable, and secure infrastructure in a hybrid cloud environment., • Improve our developer experience by building better tools, workflows, and environments., • Lead efforts to automate and optimize systems, including CI/CD pipelines, infrastructure provisioning (IaC), and deployment workflows., • Own and evolve our observability stack (metrics, tracing, logs) to improve usability and performance. Grafana-centric ecosystems are a plus., • Implement and advocate for best practices in software reliability, fault tolerance, and performance tuning., • Proactively identify, investigate, and resolve system reliability issues, performing root cause analyses and implementing long-term fixes., • Partner with teams to design and operate Software Defined Network (SDN) solutions., • Contribute to a collaborative and inclusive team culture where respectful debate and continuous learning are celebrated. Must Haves: • Strong experience with public cloud infrastructure, ideally GCP., • Deep expertise in Kubernetes, architecture, deployment, ops, and resource optimization., • Demonstrated ability to design and build scalable, highly available systems., • Familiarity with Software Defined Networking (SDN) concepts and tools., • Experience implementing and maintaining observability stacks (Grafana, Prometheus, Loki, etc.)., • Proficiency in at least one backend language: Go, Python, Rust, C/C++, or Java., • Deep understanding and hands-on experience with DevOps practices: CI/CD, infrastructure as code (IaC), and automation., • Proven track record of working in fast-paced, high-growth technical environments., • Excellent problem-solving skills and ability to operate independently with a proactive, results-driven mindset., • Strong communication skills; thrives in a multicultural, cross-functional team. Nice to Haves: • Hands-on experience with GitOps frameworks (ArgoCD, FluxCD)., • Interest or experience in FinOps and cost-optimized architectures., • Understanding of orchestration in resource-constrained environments, like space systems., • Knowledge of systems engineering tools and SDLC governance., • Familiarity with security practices, vulnerability scanning, threat detection, risk mitigation. \n$140,250 - $190,000 a yearState law requires us to tell you the base compensation range for this role, which is $140,250- $190,000 per year. This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can’t quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy.\n Who We Are Loft Orbital builds “shareable” satellites, providing a fast & simple path to orbit for organizations that require access to space. Powered by our hardware & software products, we operate satellites, fly customer payloads onboard, and handle entire missions from end to end - significantly reducing the lead-time and risk of a traditional space mission. Our standard interface enables us to fly multiple customer payloads on the same satellite, with capabilities such as earth imagery, weather & climate /science data collection, IoT connectivity, in-orbit demonstrations, and national security missions. Our customers trust us to manage their space infrastructure, so they can focus on what matters most to them: operating their mission and collecting their data. At Loft, you’ll be given the autonomy and ownership to solve significant challenges, but with a close-knit and supportive team at your back. We believe that diversity and community are the foundation of an open culture. We are committed to hiring the best people regardless of background and make their time at Loft the most fulfilling period of their career. We value kind, supportive and team-oriented collaborators. It is also crucial for us that you are a problem solver and a great communicator. As our team is international, you will need strong English skills to better collaborate, easily communicate complex ideas and convey important messages. With 4 satellites on-orbit and a wave of exciting missions launching soon, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France. As an international company your resume will be reviewed by people across our offices so please attach a copy in English.

The main job directions include: 1. Exploring and developing large-scale language models and optimizing enterprise applications to the extreme;, 2. Data construction, instruction tuning, preference alignment, and model optimization;, 3. Implementation of relevant applications, including content generation, reasoning, code generation, etc.;, 4. Collaborating with cross-functional teams to produce and apply new science to more responsibly develop and deploy large language models;, 5. In-depth research and exploration of more usage scenarios in future life., 6. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred;, 7. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning., 8. Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred;

We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding. \n Responsibilities: • Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs., • Benchmark perception models using large-scale datasets and well-defined quantitative metrics., • Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications., • Maintain a strong focus on performance, robustness, and scalability for deployment in production systems. Required Skills: • Master’s or Ph.D. in AI, Computer Science, Electrical Engineering, Robotics, or a related field., • Proficiency in Python and experience building deep learning pipelines., • Strong expertise in PyTorch, TensorFlow, or JAX., • Proven experience with LiDAR-based 3D perception and BEV representation models, • Deep understanding of multimodal sensor fusion architectures and techniques., • Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines., • Solid foundation in computer vision, deep learning, and 3D geometry. Preferred Skills: • Industry or academic experience in autonomous vehicle perception, robotics, or related areas., • Hands-on experience developing deep learning models in real-world or production environments., • Experience with distributed training, high-performance computing, or GPU acceleration. \n$145,000 - $200,000 a yearOur compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.\n