Find AI Work That Works for You

false

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.We're seeking a Mechanical Engineering Intern to join our team in Houston, TX and contribute to the development of cutting-edge humanoid robotics systems. You'll work directly with our mechanical and electrical engineering teams on real projects that impact our robot development.What You’ll Work On:Actuator Design & Testing: Support development and validation of custom actuation systems for humanoid jointsMechanical Systems: Assist with design and prototyping of robotic systems with a focus on structural components and mechanical assembliesProduct Development: Be involved with the building, testing, and validation of the robotic systems that you have participated in designingEngineering Documentation: Create technical documentation, test reports, and design specificationsWhat you’ll learn:Hands-on experience with humanoid robotics development from concept to productReal-world application of engineering fundamentals in cutting-edge roboticsQualifications:Currently pursuing, or have obtained, a Bachelor's or Master's degree in Mechanical Engineering, Robotics, Mechatronics, or related fieldA passion for robotics, automation, or electromechanical systemsEagerness to tackle challenging technical problemsExperience with CAD software (ideally Onshape), prototyping, and hands-on building (coursework, personal projects, or hobby work)Strong work ethic and willingness to get hands-on with tools, equipment, and testingCollaborative mindset with excellent communication and teamwork abilitiesSelf-motivated with ability to ask good questions and take initiativeProgram DetailsFall Program: September 1 – November 30Application Deadline: July 15Final Selections by: July 31Location: Houston, TX or Pensacola, FL (onsite)Compensation: Competitive hourly rateWhy join Persona AI?You'll shape technology that's redefining the possibilities of robotics and human interaction.Work alongside passionate teammates who value diversity, creativity, and continuous learning.Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.Not sure if you meet all the listed qualifications? That’s okay! We encourage you to apply anyway. Our needs are constantly evolving, and we're always looking for talented individuals who can grow with us. You might be exactly who we’re looking for — even if it’s for a role we haven’t thought of yet. Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

false

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!The expected salary range for this position is:Annual Salary:$340,000—$425,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

false

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office four times per week: Day to day: 50% Software engineering - technical product planning, and coding 50% Managing a growing team. You will: Recruit a high-performing engineering team.  Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects.  Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings Have or ability to obtain a TS/SCI clearance Ideally you’d have: 5+ years of full-time engineering experience, post-graduation 2+ years of prior engineering management or equivalent experience and has managed an engineering team. Have extensive experience in software development Experience scaling products at hyper-growth startups Excitement to work with AI technologies and their applications for the public sector Extremely strong track record as an individual contributor Show a track record of mentoring and leading teams in successful projects Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: TS/SCI Clearance Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. Have experience with AI platforms and technologies, including generative models and LLMs. Have previous experience in government or government facing technology roles Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of Washington DC is:$169,000—$279,000 USDCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$188,000—$311,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$169,000—$279,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and 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 status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

About xAI 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 a Data Center Site Reliability Engineer (SRE) at xAI, you will play a pivotal role in ensuring the reliability, scalability, and performance of our state-of-the-art data center infrastructure, including the Colossus supercluster in Memphis—the world's largest AI training cluster with over 100,000 liquid-cooled Nvidia GPUs and plans for expansion to 1 million. This infrastructure powers advanced AI workloads, massive-scale model training, and products like Grok, enabling breakthroughs in understanding the universe. You will collaborate with cross-functional teams to automate operations, enhance observability, and maintain high availability for large-scale distributed systems. This is a hands-on technical position in a dynamic environment, offering the opportunity to tackle complex challenges at the intersection of AI, data center operations, and software reliability. Key Responsibilities Maintain and improve the reliability and uptime of xAI’s on-premises and cloud-based data center environments, including high-density GPU clusters for AI training. Design, implement, and manage monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, PagerDuty). Develop and maintain infrastructure-as-code (Pulumi, Terraform) and continuous deployment pipelines (Buildkite, ArgoCD). Participate in on-call rotations, respond to incidents, perform root cause analysis, and drive post-mortem processes. Analyze system performance, forecast capacity needs, and optimize resource utilization for massive AI/ML workloads. Collaborate with hardware, networking, and software engineering teams to design and implement resilient, scalable solutions, such as RDMA fabrics and liquid-cooling systems. Create and maintain documentation and standard operating procedures. Contribute to the efficiency of AI training pipelines by identifying and mitigating bottlenecks in compute, storage, and networking at unprecedented scales. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). 5+ years in site reliability engineering, data center operations, or large-scale infrastructure management. Expert-level knowledge of Kubernetes (on-prem and cloud), infrastructure-as-code tools (Pulumi, Terraform), and CI/CD systems (Buildkite, ArgoCD). Proficiency in at least one systems programming language (Rust, C++, Go) and strong scripting/automation skills. Deep understanding of monitoring and observability technologies. Strong troubleshooting skills across hardware, networking, and distributed software systems. Proven experience with incident response, including on-call rotations, rapid incident resolution, root cause analysis, and implementation of preventative measures. Excellent communication and documentation skills, with the ability to share knowledge concisely and accurately. Preferred Qualifications Experience supporting AI/ML workloads or high-density compute environments, including large-scale GPU clusters and HPC systems. Familiarity with data center electrical, cooling, and network systems, such as liquid-cooling and high-bandwidth interconnects. Certifications in SRE, Kubernetes, or data center operations. Experience with both on-premises and cloud infrastructure at scale. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

About xAI 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 a Site Reliability Storage Engineer, you will play a pivotal role in designing, building, and operating exascale storage systems to manage our cutting-edge AI research data with unparalleled scalability and reliability across multiple regions. This role's core responsibility is to make sure our heterogenous storage systems in on-prem + cloud are reliable and performant.  We’re seeking engineers with expertise in exascale data management systems or distributed filesystems to join our mission-driven team. What you’ll do Develop and optimize software to manage exascale data, enabling efficient and reliable access for xAI researchers working on advanced AI models. Enhance the reliability, performance, and cost-effectiveness of xAI’s storage infrastructure to support large-scale AI research workloads. Collaborate closely with researchers to understand their data use cases and tailor storage solutions to meet their needs. Implement robust security measures to safeguard critical datasets, ensuring data integrity and confidentiality. Ideal Experience You’d be an exceptional candidate if you possess some (or all) of the following: Writing scalable, high-performance code in Rust or Go for storage-related applications or tooling. Managing storage infrastructure with IaC tools like Pulumi, Terraform, or Ansible. Past experience working with storage vendors facilitating partnership alignment, and integrating their tooling within xAI’s Infrastructure.   Familiarity with Kubernetes storage primitives (e.g., Persistent Volumes, CSI drivers) and integrating storage with containerized workloads. Bonus: Experience with AI/ML data pipelines, including handling large datasets for training and inference. Tech Stack Kubernetes Pulumi Rust and Go 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 45 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 Python, Golang, or Rust Systems hands-on: Demonstrate practical skills in a live problem-solving session. Coding assessment or system design discussion based on the candidate's background.  Project deep-dive: Present your past exceptional work to a small audience. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. We do not condone usage of AI in interviews and have tools to detect AI usage. 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. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

About xAI 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.Job Summary The Connectivity Systems Engineer will be responsible for designing, specifying, and implementing structured cabling and fiber optic systems for xAI’s hyperscale data center build-outs. This role requires expertise in high-density cabling solutions, optical network design, and collaboration with cross-functional teams to deliver scalable, high-performance infrastructure that supports xAI’s advanced AI and GPU cluster workloads. You will play a critical role in ensuring the reliability and efficiency of our data center connectivity to drive our mission forward. Responsibilities Design and develop structured cabling systems, including copper (Cat6/6A) and fiber optic solutions (OM4, OM5, single-mode), for xAI’s data center environments, ensuring compliance with industry standards such as TIA-942 and BICSI. Create detailed optical system architectures, including high-density fiber optic networks (MPO/MTP, LC, DWDM), to support high-bandwidth, low-latency connectivity for AI and GPU clusters. Produce comprehensive design documentation, including schematics, rack elevations, pathway plans, and bills of materials (BOMs), using tools like AutoCAD, Revit, or Visio. Collaborate with network, electrical, and mechanical engineering teams to integrate cabling and optical designs into overall data center layouts, optimizing for power, cooling, and space constraints. Conduct capacity planning to ensure cabling infrastructure supports current and future AI workload demands, including 400G/800G network deployments. Oversee installation, testing, and validation of cabling and optical systems, using tools like OTDR, power meters, and VFL to ensure performance and reliability. Provide technical expertise during procurement, evaluating vendors and selecting cabling components, optical transceivers, and connectivity hardware. Develop and maintain cabling standards, labeling schemes, and documentation processes to ensure consistency across multi-site data center deployments. Support rapid design iterations to meet aggressive project timelines, addressing challenges such as high-density rack configurations and advanced cooling systems (e.g., liquid cooling). Troubleshoot and resolve cabling-related issues during commissioning and operations to ensure minimal downtime for mission-critical systems. Contribute to process improvements and automation initiatives (e.g., Python scripting for design validation) to enhance cabling design workflows. Qualifications Basic Qualifications Bachelor’s degree in Electrical Engineering, Telecommunications Engineering, or a related field; or equivalent professional experience. 3+ years of experience in structured cabling and fiber optic system design, preferably in data center or hyperscale environments. Proficiency in design tools such as AutoCAD, Revit, or Visio for creating detailed schematics and layouts. Strong knowledge of fiber optic technologies, including single-mode, multi-mode, DWDM, and high-density connectivity solutions (MPO/MTP, LC). Familiarity with data center standards (e.g., TIA-942, Uptime Institute) and networking protocols (e.g., Ethernet, InfiniBand). Preferred Qualifications 5+ years of experience in data center cabling design and deployment for hyperscale or cloud provider environments. Experience with AI/HPC infrastructure, GPU cluster connectivity, or liquid-cooled data center designs. Proficiency in scripting or automation tools (e.g., Python, Bash) for design or testing workflows. Certifications such as RCDD (Registered Communications Distribution Designer), DCDC (Data Center Design Consultant), or CFOT (Certified Fiber Optic Technician). Knowledge of network hardware (e.g., NVIDIA, Cisco, Arista) and optical transceivers (QSFP-DD, OSFP). xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

About xAI 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 multimedia engineers and product thinkers who want to make Grok's realtime avatar products the best in the world. What You'll Do Make Grok's realtime avatar products fast, scalable, and reliable. Help push forward audio and gameplay research and deploy breakthrough innovations to millions of users. Obsess over every millisecond and byte, ensuring end-to-end quality and performance at scale across a rich suite of products and user platforms. Who You Are Well-versed in low-latency systems and protocols like WebSocket and WebRTC. Expert in Python, and preferably proficient in Rust. Some iOS experience preferable. In-depth knowledge and experience building high performance media processing pipelines. Obsessed with media quality, performance, and product experience. Tech Stack Python, Rust, WebSocket, WebRTC 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 15-30 minutes phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps: Deep dive coding challenge Meet and greet with the wider team Our goal is to complete the process within one week. All interviews will be conducted in person when applicable. Location The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation. 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. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

About the CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe’re looking for a Research Scientist to lead work on post-training data curation for foundation models. You’ll design and implement algorithms to generate and improve instruction, preference, and other post-training datasets. You’ll also help bridge the gap between pre-training and post-training by exploring how to jointly optimize data across stages. This role requires strong scientific judgment, fluency with the deep learning literature, and a drive to turn research ideas into real-world impact. You’ll work autonomously, collaborate closely with engineers and product teams, and shape the future of data curation at DatologyAI.What You'll Work OnPost-training data curation. You’ll conduct research on how to algorithmically curate post-training data—e.g., how to generate and refine preference and instruction-following data, how to curate capability- and domain-specific data, and make post-training more effective, controllable, and generalizable.Unifying pre-training and post-training data curation. Pushing the bounds on model capabilities requires unifying post-training and pre-training data curation. You will pursue research on end-to-end data curation: how to curate pre-training data to improve the post-trainability of models and how to jointly optimize pre- and post-training data curation, all in service of maximizing the final performance of post-trained models.Transform messy literature into practical improvements. The research literature is vast, rife with ambiguity, and constantly evolving. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from the literature and of your own creation.Conduct science driven by real-world needs. At DatologyAI, we understand that conference reviewers and academic benchmarks don’t always incentivize the most impactful research. Your research will be guided by concrete customer needs and product improvements.How You'll WorkNobody knows how to do your work better than you. We believe that scientists do their best work when they have the autonomy to pursue problems in the manner they prefer, and we will ensure that you are equipped with the context and resources you need to succeed.Science is more than just experiments. We expect our Research Scientists to collaborate closely with engineers, talk to customers, and shape the product vision.About You3+ years of deep learning research experienceExperience with post-training large vision, language, and multimodal modelsPost-training algorithm development, data curation, and/or synthetic data methods for:Preference-based tuning (e.g. DPO, RLVR, RRHF)Alternative supervision & self-supervision techniques such as self-training and chain-of-thought distillationSFT (e.g. instruction tuning and demonstration fine-tuning)Post-training tooling development and engineering experienceStrong understanding of the fundamentals of deep learningSufficient software engineering + deep learning framework (PyTorch or a willingness to learn PyTorch) skills to conduct large-scale research experiments and build production prototypes.Demonstrated track record of success in deep learning research, whether papers, tools, or other research artifacts.We would love it if candidates have:Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.)Experience building + shipping ML productsCandidates do not need a PhD or extensive publications. Some of the best researchers we’ve worked with have no formal training in machine learning, and obtained all of their experience by working in industry and building products. We believe that adaptability, combined with exceptional communication and collaboration skills are the most important ingredients for successful research in a startup environment.CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $260,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

false

About Model Shaping The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. About the Role As a Research Scientist in Large-Scale Learning, you will work on the methods for increasing the efficiency of training foundation models, in terms of both speed and resource efficiency. You will analyze the limitations of state-of-the art techniques for neural network training, as well as the unique performance challenges of Together’s training setups. Based on this analysis, you will propose and implement new approaches, targeting both algorithmic improvements and systems optimizations. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/ML Systems conferences and collaborate with your teammates to integrate those improvements into Together’s platform. Responsibilities Define and drive the research agenda around efficiency and performance of foundation model training Study recent results from the broader AI research community, analyzing their relevance to the team’s research directions and ongoing projects Conduct experiments to empirically validate your hypotheses and compare the outcomes with relevant related work Share your findings both internally and externally (e.g., at top-tier conferences on ML and ML Systems) Partner with Machine Learning Engineers to integrate advanced methods into Together’s Model Shaping platform Requirements Can autonomously design, implement, and validate your research ideas Skilled at writing high-quality and efficient code in Python and PyTorch Have first-author publications at leading conferences on ML or ML Systems (ICLR, ICML, NeurIPS, MLSys) Are a strong communicator, ready to both discuss your research plans with other scientists and explain them to broader audience Follow the latest advances in relevant subfields of AI Passionate about seeing your research create real-world impact through Together AI's services and willing to work hands-on with production systems to achieve it Stand-out experience: Algorithmic modifications of large neural network training (e.g., novel optimization algorithms or model adaptation techniques) Distributed optimization (including federated learning, communication-efficient optimization, and decentralized training) ML systems optimizations for distributed training, memory efficiency, or compute efficiency Writing optimized NVIDIA GPU kernels or communication collectives using NVIDIA’s networking stack (e.g., NCCL or NVSHMEM) Running large-scale experiments on GPU clusters About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $225,000 - $300,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

true

We are seeking a Sales Engineer specializing in AI training to join one of our clients, where you'll be at the heart of technological innovation and business growth. In this innovative part-time, remote role, your engineering expertise will guide AI system training, enhance the sales journey, and equip teams with state-of-the-art insights. Key Responsibilities:Act as the AI training subject matter expert (SME), leading the creation and deployment of AI-based sales solutions.Simplify complex technical ideas into valuable insights for AI systems and sales team members alike.Provide expert technical support for both pre-sales and post-sales engagements, customized to client requirements.Work alongside product and engineering teams to ensure that solutions meet client needs and reflect the latest industry trends.Create and conduct engaging training sessions and prepare detailed documentation for AI-enhanced sales tools.Evaluate market feedback to adjust sales tactics and improve AI training datasets.Ensure clear communication between technical and non-technical stakeholders. Required Skills and Qualifications:Bachelor's degree in engineering or a related technical discipline.Proven track record in selling business goods or services that require deep technical know-how.Exceptional written and verbal communication skills.Previous experience in roles like Sales Engineer, Technical Sales Engineer, or a similar customer-focused technical position.Strong analytical skills and problem-solving prowess.Capacity to explain technical information to non-technical audiences.Self-driven, well-organized, and comfortable working independently in a remote setting. Preferred Qualifications:Expertise in AI model training, data labeling, or ML operations.Experience with AI-driven sales tools and platforms.Previous involvement in technical marketing or business development roles. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

false

About Model Shaping The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. About the Role As a Platform Engineer at Model Shaping, you will work on the foundational layers of Together’s platform for model customization and evaluation. You will design the infrastructure and backend services that will allow us to sustainably and reliably scale the systems powering production workflows launched by our users, as well as internal research experiments. You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams. Responsibilities Design and build Together’s systems and infrastructure for model customization, including user-facing features and internal improvements Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response Create and improve internal tooling for deployment, continuous integration, and observability Build a job orchestration platform spanning multiple data centers, supporting a highly heterogeneous hardware landscape Partner with teams developing internal services, co-designing these services and incorporating them in systems built by Model Shaping Requirements 3+ years of experience in building infrastructure or backend components of production services Comfortable with the fundamentals of Linux environments and modern container/orchestration stacks (e.g., Docker and Kubernetes)  Strong software engineering background in Python or Go Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) Skilled with analyzing non-trivial issues of complex software systems and documenting your findings Have cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment Strong communication skills, willing to document systems and processes and collaborate with peers of varying technical expertise Stand-out experience Developing large-scale production systems with high reliability requirements Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte) Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA’s networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA) Deployment of services for AI training or inference Maintaining or contributing to open-source projects About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

true

Join our client's team as a Shipping Clerk and AI Trainer, where you'll play a critical role at the intersection of shipping expertise and advanced technology. In this distinctive position, you'll utilize your industry experience to aid in the development and training of AI systems, ensuring they accurately reflect the realities of current shipping, receiving, and inventory management. Share your expertise as a subject matter expert (SME) while working remotely with a dynamic and forward-thinking team. Key Responsibilities:Verify and maintain accurate records of all incoming and outgoing shipments, ensuring compliance with both company policies and regulatory standards.Document, track, and manage inventory using best practices and digital tools.Coordinate transportation logistics to ensure timely and efficient delivery.Prepare shipments by packing, labeling, and documenting shipment details.Collaborate with cross-functional teams to enhance and refine shipping processes.Serve as an SME for AI training, providing feedback and annotating data to enhance AI performance.Communicate effectively, both in writing and verbally, with team members and technical staff. Required Skills and Qualifications:Demonstrated experience in roles such as Shipping Clerk, Receiver, or Order Fulfillment Specialist.Excellent written and verbal communication skills.Strong attention to detail and organizational skills.Proficiency with digital platforms and inventory management systems.Ability to work independently and as part of a remote team.Strong analytical and problem-solving skills.Enthusiasm for sharing expertise to support AI development and data annotation tasks. Preferred Qualifications:Experience collaborating with technical or product teams.Familiarity with AI systems, data labeling, or machine learning projects.Background in process improvement initiatives within shipping or logistics settings. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

true

This role is remote, so it can be executed globally. However, to facilitate working with the engineering team we strongly prefer candidates based in GMT-4 to GMT+3. We have offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.About ElevenLabs ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in San Francisco, New York, Dublin, London, Tokyo, and Warsaw.What we offerLearning & development: Annual discretionary stipend towards professional development. Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Coworking: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.About the roleAs a Forward Deployed Engineer Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Strategists to deploy our voice AI technology against the most challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.No two days are the same, but as a FDE Strategist you can expect to:Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness.Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.Scope out potential applications in new industries and expand our AI solutions across different sectors globally.Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.RequirementsExperience working with customers in a technical capacity. It's ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them.Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions.A proven track record of taking ownership of complex projects and delivering results.Adaptability to work across different customer environments and technical use cases.Technical aptitude to quickly understand our voice and audio AI models and their applications.#LI-Remote

true

This role is remote and can be executed globally. About ElevenLabs ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in San Francisco, New York, Dublin, London, Tokyo, and Warsaw.About the roleWe are looking for freelance Dubbing Specialists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks, and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world's top YouTube channels, book publishers, and media & entertainment businesses. Here's what you can expect in our team:Optimizing translations for dubbed contentProducing natural sounding dubbed audio using a combination of toolsVoice casting to ensure content sounds natural in your languageCollaborating with our audio engineering and mixing teams on editsCompetitive task-based compensationFlexible workload and scheduling - claim and complete jobs directly on our platformRequirements:Native or near-native fluency in one or more supported languagesPrior experience in dubbing and translating audiovisual contentStrong attention to detail and commitment to linguistic accuracyAbility to work independently and deliver high-quality work on timeBonus:Previous work with language service providers, localization teams, or media companiesExperience using the ElevenLabs DubbingStudio and/or other AI-assisted dubbing tools#LI-Remote

false

Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.What You'll Do As Fiddler continues to grow, we are always on the lookout for talented and passionate individuals to join our team across various functions. This evergreen requisition is designed to collect resumes from individuals with diverse backgrounds and skillsets who are interested in contributing to our mission of building trust into AI. We encourage applicants from all fields, including but not limited to:Software Engineering (Backend, Frontend, Full Stack, Data, Infrastructure, AI/ML)Data Science and Machine LearningProduct ManagementDesign (UX/UI, Product Design)Business OperationsGTM (Sales, Pre-sales, Post-sales, Customer Success, Marketing)Customer Success and SupportYou will contribute to shape the future of AI Observability, working collaboratively with cross-functional teams to solve complex problems and drive innovation. We seek individuals who are eager to learn, adapt quickly, and thrive in a fast-paced, multi-functional startup environment. You will be expected to continuously look for ways to improve our products, processes, and customer experience. What We're Looking For We are interested in individuals with a wide range of experiences and educational backgrounds. While specific requirements will vary by role, we generally look for:A passion for AI and its potential to impact society positivelyStrong problem-solving abilities and a desire to tackle challenging technical and business issuesExcellent communication and collaboration skills, with the ability to work effectively across distributed teams and time zonesA proactive and ownership-driven mindsetA commitment to continuous learning and professional developmentRelevant experience in your field of expertiseNice to HaveExperience in developing Data analytics / Application observability and monitoring solutionsExperience with large language modelsCompensation and In-Office PolicyPay Range in San Francisco Bay Area variesFiddler HQ (Palo Alto) operates as a hybrid company, with in-office requirements based on your location in the Bay Area. Depending on your proximity, employees are expected to be in the office 1-3 days per week.The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.

false

About the roleYou’ll be working on tooling on top of our sandboxWhat we’re looking for3+ years of experience being a software engineerBeing comfortable with fast-pace field and environmentBeing interested in the latest news in the AI fieldExcited to work in person from San Francisco on a devtool productDetail oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast growing startup at an early team (we grow 20%-100% MoM)We ship fast but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

false

About the roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building the E2B backendSolving general infrastructure problemsWorking with Kubernetes or NomadCollaborating with our Systems Engineers and Distributed Systems EngineersWe’re looking for a skilled developer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from San Francisco on a devtool productDetail oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast growing startup at an early team (we grow 20%-100% MoM)We ship fast but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

false

About the roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building with VM hypervisors like Firecracker, gVisor, or Linux systemResource monitoring of sandboxesDeveloping networking solutions for secure, isolated environmentsOptimization of E2B sandbox performance and shaving off every millisecondBuilding new kind of programming language runtimes for LLMsWe’re looking for an infrastructure engineer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from Prague on a devtool productDetail-oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast-growing startup at an early team (we grow 20%-100% MoM)We ship fast, but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing, and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

false

About the roleYour job will be to inspire developers what they can build E2B. Part of that job is creating examples based on what we often see that our users are doing and another part of that is leading by example by building experimental projects using E2B.You’ll be building both smaller examples that you can find in our Cookbook but also bigger projects like Fragments or AI Analyst.This role requires a high amount of creativity and ability to finish the projects by taking them from 0 to 1.Ready to be the voice of E2B and inspire thousands of developers to build with our product? This San Francisco-based role requires engineering skills and excellent communication skills to help developers unlock the full potential of E2B. As a Developer Relations Engineer, you'll be deep in the AI ecosystem, educating devs about E2B use cases, sharing our vision through demos and content, and helping shape the company brand. You'll get to build and hack on the latest hot things in AI, translate complex technical concepts into accessible examples, and gather feedback from the community to influence our product roadmap.Examples of responsibilitiesExamples and guides showing E2B features and integration with various LLMs, frameworks, and AI toolsOwning the E2B CookbookResearching the latest trends in the AI space and coming with project ideasRecording a demo video about a new featureCollaboration with AI companies in the ecosystem on examples, content, eventsDemo examples with E2B at meetups or conferencesTalking to developers online and offline about E2B and make them excited about building with the productBeing active on X and follow the latest advancements in the AI dev tools, LLMs, and agentsWhat we’re looking forEngineering experienceExperience in Python an JavaScript/TypeScripptExperience with AI and LLM-powered productsExcellent communication skillsExcited to work in person from San Francisco on a devtool productDetail orientedExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the teamWhat it’s like to work at E2BWork at a fast growing startup at an early team (we grow 20%-100% MoM)We ship fast but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Terka (Marketing, Growth, DevRel). We’ll learn about you, your work experience, and what you’re looking for to make sure this would be a good fit for both of us.30-minute call with Vasek (CEO).Technical assignment. The (paid) assignment should take up to 3 business days and it will test your technical and communication skills.Decision and potential offer.

false

The Role Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to: • Rubix and Apollo, platforms deployed at the most important institutions across the public and private sectors.• Shaping Mission Manager, our new internal-infrastructure business line, used by advanced civil and defense agencies worldwide to power their infrastructure in highly sensitive environments• Building the core capabilities used by advanced civil and defense agencies worldwide to power their infrastructure• Providing the substrate on which Palantir deploys its other platforms, Foundry and Athena, which power workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters. You’ll join our Production Infrastructure organization, made up of small teams of engineers working on: • Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters• Apollo: secure, fleet-wide deployment and change-management for complex microservice suites• Signals: our full suite of observability and alerting tools Core Responsibilities As a Software Engineer Intern at Palantir, you’ll own every phase of the product lifecycle—from generating ideas and designing prototypes to executing features and shipping releases—while being paired with a dedicated mentor who champions your growth. You’ll work hand-in-hand with both technical and non-technical colleagues to uncover real customer problems and deliver solutions that address them. To gain firsthand insight, you might sit side-saddle at a military exercise or partner directly with vendors using Palantir’s Apollo & Rubix to put our software into the hands of warfighters and government workers. SWE principles include: • Ownership: We see projects through from beginning to end in spite of obstacles we may encounter.• Collaboration: We work internally with people from a variety of backgrounds — such as other Software Engineers, Product Managers, Designers and Product Reliability Engineers. We also partner with our business development teams (Forward Deployed Engineers, Deployment Strategists) in order to understand and solve our customers' problems.• Trust: We trust each other to effectively handle time and priorities, and don't micromanage. We want people to have the space to think for themselves, while feeling supported by their team. Technologies We Use It doesn’t matter what languages you know when you join us, but it does matter that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. Alongside peers that bring diverse experience - whether you’re a former university TA, switched to CS recently, or are a hackathon enthusiast — you'll build your skills to apply the best technology to solve a given problem. Right now, we use: • A variety of languages, including Java and Go for backend and Typescript for frontend• Open-source technologies like Kubernetes, Cilium, Envoy, Grafana, React, and Redux• Industry-standard tooling, including Gradle and GitHub, and agentic tools like Windsurf & Cline What We ValueAbility to communicate and collaborate with a variety of individuals, including engineers, users and non-technical team members.Willingness to learn and make decisions independently, and the ability to ask questions when needed.Active US Security clearance, or eligibility and willingness to obtain a US Security clearance. What We RequireEngineering background in fields such as Computer Science, Mathematics, Software Engineering, and Physics.Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages.Must be planning on graduating in 2027. This should be your final internship before graduating. To apply, please submit the following:An updated resume / CV - please do so in PDF format.Thoughtful responses to our application questions.