AI Software Engineer Jobs

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About Augment Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the Role We’re looking for a strong software engineer with a passion for helping developers be more productive by building the tools they need. As our Developer Infrastructure Tech Lead, you’ll design and drive the systems that make our engineers faster, safer, and more effective.You’ll shape our CI/CD pipelines, developer tooling, and infrastructure strategy, ensuring we can scale effectively in a fast-moving startup environment. This is a hands-on leadership role where you’ll architect solutions, guide best practices, and work closely with feature teams to remove friction from the development lifecycle. In this role you will: Architect, build, and maintain scalable CI/CD systems that go beyond off-the-shelf solutions. Define and implement strategies to maximize developer productivity, from build tooling to dev workflows. Push the boundaries of how AI can be applied to developer workflows, experimenting with novel tools and approaches to unlock new levels of engineering productivity. Partner with engineering teams to improve service-based architectures and streamline deployment processes. Mentor and guide other engineers in building reliable, high-performance developer infrastructure. Balance short-term fixes with long-term vision in a fast-paced startup environment. You have: Proven experience designing and building CI/CD systems from the ground up. A strong understanding of developer productivity challenges and how to address them. Deep experience with service-based architectures and Kubernetes. Experience leading technical initiatives and collaborating across teams. Comfort operating in a dynamic, unstructured startup environment. While not required, it’s an added plus if you also have: Experience with Bazel or other advanced build systems. Familiarity with cloud platforms (especially GCP). Familiarity with observability platforms and monitoring best practices. Prior experience scaling infrastructure in a high-growth startup. Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy. Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$225,000—$300,000 USD

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At TensorWave, we're leading the charge in AI compute, building a versatile cloud platform that's driving the next generation of AI innovation. We're focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what's possible in the AI landscape. About the Role:As a Kubernetes Platform Engineer focused on support and operations, you’ll play a critical role in maintaining the stability and reliability of our bare-metal Kubernetes infrastructure. You will work closely with senior engineers, taking point on troubleshooting, incident response, and day-to-day cluster operations across multi-tenant workloads.This is a great opportunity for engineers ready to deepen their Kubernetes expertise while supporting cutting-edge AI environments in real-time.Responsibilities:Own and troubleshoot operational issues within Kubernetes environmentsMaintain and monitor core services (e.g., Cilium, HAProxy, Prometheus, etc.)Ensure uptime, performance, and reliability of multi-tenant clustersAssist with Ingress/Egress connectivity and network debuggingSupport internal and customer teams in secure, isolated VPC environmentsCollaborate with senior engineers on automation and cluster lifecycle improvementsRequired Skills & Experience:2–4 years experience in DevOps, SRE, or Linux infrastructure roles1+ years of hands-on experience with Kubernetes in productionFamiliarity with networking, CNI plugins, and core Linux troubleshootingStrong infrastructure-as-code mindset using tools like Helm, Terraform, or AnsibleSolid experience with monitoring and logging tools (e.g., Prometheus, Grafana, Loki)Understanding of secure infrastructure design principles and least-privilege accessComfortable working in a team-oriented, fast-paced operational environmentNice to Have:Experience with RKE2, Rancher, or similar platformsExperience troubleshooting or supporting AI or GPU-based workloadsFamiliarity with HAProxy, Cilium, or other Kubernetes ingress/networking toolsWhat We Bring:In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Our Creator team is a group of physically capable individuals who are at the forefront of our operations, collecting new data to train Helix, our AI system, through wearing sensor hardware. They collect training data by performing specific physical tasks, review and grade the data they collect, and communicate key issues to / process improvements. We are looking for a Data Creator Manager to run our daily data collection operations for scaling Helix. Responsibilities: Build, train and lead Figure’s Creator team, providing direction, guidance, and support to ensure the achievement of data collection goals and targets. Manage day-to-day frontline operations, ensuring smooth workflows and high uptime. Oversee management of sensor hardware inventory and data uploading. Accountable for data collection performance metrics.  Coordinate to drive implementation of new data collection procedures and maintain documentation for procedures. Develop onboarding and ongoing training documentation for new hires. Train and mentor team members to ensure they are equipped with the necessary skills and knowledge to perform their roles effectively.  May involve standing for long periods, supervising shifts, and responding to urgent operational issues. Elevate opportunities for process improvement and work to define creative solutions to improve KPIs. Requirements:  5+ years experience leading a highly skilled team in a fast paced environment, including hiring, performance managing, and mentoring junior team members. Excellent problem-solving and decision-making abilities. Experience operating and troubleshooting early-stage technologies. Excellent communication skills especially using data.  Able to work well under pressure while managing competing, time-sensitive demands. Proficiency in Google Workspace (e.g., Sheets) and operational management tools. Bonus Qualifications: Experience with robotics or AI data collection. 10+ years experience leading skilled teams operating complex technology. A passion for helping scale the deployment of learning humanoid robots. The US base salary range for this full-time position is between $140,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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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. Glean 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.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 3 to 5 years of professional experience  Fluency in English Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is remote #LI-Remote  

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Scale is the leading data and evaluation partner for frontier AI companies, playing an integral role in advancing the science of evaluating and characterizing large language models (LLMs). Our research focuses on tackling the hardest problems in scalable oversight and the evaluation of advanced AI capabilities. We collaborate broadly across industry and academia and regularly publish our findings.  Our Research team is shaping the next generation of evaluation science for frontier AI models and works at the leading edge of model assessment and oversight. Some of our current research includes: Developing AI-assisted evaluation pipelines, where models help critique, grade, and explain outputs (e.g. RLAIF, model-judging-model). Advancing scalable oversight methods, such as rubric-guided evaluations, recursive oversight, and weak-to-strong generalization.  Designing benchmarks for frontier capabilities (e.g. reasoning, coding, multi-modal, and agentic tasks), inspired by efforts like MMMU, GPQA, SWE-Bench. Building evaluation frameworks for agentic systems, measuring multi-step workflows and real-world task success. You will: Lead a team of research scientists and engineers on foundational work in evaluation and oversight. Drive research initiatives on frameworks and benchmarks for frontier AI models, spanning reasoning, coding, multi-modal, and agentic behaviors. Design and advance scalable oversight methods, leveraging model-assisted evaluation, rubric-guided judgments, and recursive oversight. Collaborate with leading research labs across industry and academia. Publish research at top-tier venues and contribute to open-source benchmarking initiatives. Remain deeply engaged with the research community, both understanding trends and setting them. Ideally you'd have: Track record of impactful research in machine learning, especially in generative AI, evaluation, or oversight. Significant experience leading ML research in academia or industry. Strong written and verbal communication skills for cross-functional collaboration. Experience building and mentoring teams of research scientists and engineers. Publications at major ML/AI conferences (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or journals.   Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We do not ask LeetCode-style questions.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.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:$260,000—$350,000 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.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. The Opportunity: Unlocking the Future of Robotics The future of robotics—from autonomous logistics and precision agriculture to surgical assistance and human-robot collaboration—is fundamentally bottlenecked by the availability of high-quality, high-fidelity training data. The physical world is infinitely complex, and capturing its nuance is the single greatest challenge holding back progress. To solve this, Labelbox is building an advanced robotics lab and software stack designed to generate pristine, structured data for the world's leading robotics companies.  We are seeking a visionary and operationally-driven leader to be the founding head of this critical initiative. As the Head of Robotics Data, you will be the single-threaded owner responsible for taking this program from its early stages to a scaled, potentially 24/7 operation. You will sit at the intersection of hardware engineering, software development, complex operations, and deep customer partnership, building the Robotics lab that powers the next generation of intelligent machines. Your Impact Strategic & Operational Leadership: Own the end-to-end vision and strategy for the Roboticslab. You will build and lead a high-performing, multidisciplinary team of engineers, operators, and technicians, fostering a culture of excellence, innovation, and urgency. Build a World-Class Data Factory: Architect, implement, and scale a robust 24/7 operational framework for data generation. You will develop rigorous processes, KPIs, monitoring, and automation to ensure unparalleled uptime, efficiency, and data integrity. Your goal is to build a machine that builds the data. Customer Obsession & Partnership: Serve as the primary technical and operational partner for our strategic robotics customers. You will work hand-in-hand with their engineering leaders to deeply understand their data requirements, quality bars, and cost constraints, translating them into actionable production targets and ensuring we consistently exceed their expectations. Technical Vision & Roadmap: Drive the technical roadmap across both hardware (robotics hardware, sensors, compute infrastructure) and software (data acquisition pipelines, processing workflows, quality control tools). You will partner with our core engineering teams to integrate this capability seamlessly into the Labelbox platform. Scale from 1 to N: You will be responsible for scaling every aspect of the program, from physical facility expansion and hardware procurement to software automation and global workforce planning. You will create the playbook that allows us to replicate and expand this capability to meet ever-growing customer demand. What You Bring A minimum of 10+ years of experience in a technical field, with at least 5+ years in a senior leadership role managing engineering, product, or operational teams. Proven track record of scaling complex, capital-intensive, 24/7 operations that involve a tight coupling of hardware, software, and human processes (e.g., manufacturing, data centers, advanced R&D labs, logistics/fulfillment). Deep expertise in the robotics domain. You should be comfortable discussing the intricacies of sensor modalities (LiDAR, stereo cameras, IMUs), data formats, and robotics software stacks (e.g., ROS). Demonstrated ability to own a technical and product roadmap, making difficult trade-offs between competing priorities in a fast-paced environment. Exceptional customer-facing skills with experience acting as a trusted technical advisor to external partners and executive stakeholders. A "first principles" thinker who is equally comfortable debugging a hardware issue on the floor, writing a strategic 3-year plan, or presenting to our executive team. BS or MS in Robotics, Mechanical Engineering, Computer Science, or a related technical field. Bonus Points Direct experience building or managing data collection/generation systems for machine learning. Experience in a specific robotics vertical such as autonomous vehicles, logistics automation, or manufacturing. Familiarity with the machine learning data lifecycle, including annotation, data quality, and model evaluation. If you are a builder who is passionate about robotics and wants to solve one of the most significant challenges in the AI industry today, we would love to hear from you.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$230,000—$280,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ326R220 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French, Spanish, Dutch, or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ326R220 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French, Spanish, Dutch, or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ326R220 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French, Spanish, Dutch, or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About this roleAccelerate engineering velocity and reduce friction in the Replit development experience by stewarding our TypeScript monorepo, tooling, and developer workflows. You will be directly impacting all our engineers working in this monorepo daily. By focusing on developer experience, you will act as a force multiplier across all product development teams, enabling faster feature delivery, happier developers, and reduced operational overhead.The role combines the technical depth needed to navigate a complex monorepo with the product mindset to understand how infrastructure decisions impact developer productivity and ultimately customer value delivery.Additionally, you will be a key decision maker in the Agent’s default stack (Vite + React + Express) and will help the AI team with strategies to improve the Agent’s output and stack.This is a first hire in this area, so you will automatically be in a position of leadership and have an accelerated career path as the team undoubtedly grows.You will:Maintain and evolve a complex monorepo structure spanning frontend, backend, npm packages, and tooling.Own the build pipelines and optimize them to minimize build times and improve developer iteration speed.Improve and oversee code generation such as GraphQL and Protocol Buffers to ensure our code is type safe.Set the standards for code quality using automation tools such as TypeScript, Prettier and Eslint, building custom rules and plugins to enforce Replit-specific requirements.Streamline local development setup and onboarding experience.Work with platform teams to improve deployment processes, infrastructure integrations, and external tooling.Keep things fresh and modern in our codebase by adopting and leading migrations to better and faster tools.Help manage dependencies both internal (public and private) and external, including being the face of the company when interfacing with open-source libraries such as when it comes to sponsorships.Required skills and experience:Expertise in TypeScript build systems such as Vite, TypeScript, webpack, and so on.Proficiency with ESLint, Prettier, testing frameworks, and code generation tools.Experience managing monorepos or large-scale codebasesFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office Amenities Want to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED Talk Interviewing + Culture at ReplitOperating PrinciplesReasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the Team The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues. About the Role As an intern on Decagon’s Agent Software Engineering team, you’ll be part of a pioneering group shaping the future of intelligent agents. You’ll contribute directly to production-ready initiatives that address real team needs, gaining hands-on experience and leaving your mark on meaningful, high-visibility work. This internship will take place from May—September (based on your summer schedule) and you will need to be able to work out of the San Francisco office during this time. In this role, you willDesign and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionIdentify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsExperiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers Your background looks something like thisYou will graduate by summer 2027 with a degree in Computer Science or a related technical fieldYou have experience from previous software engineering internships You write amazing code, fastYou are excited to thrive in a fast-paced environment, continuously learn, and sharpen your skills Even betterPrior experience working with multi-modal modelsCompensation$2,400 per week

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Auto Engineer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor, PhD, Master’s degree in Automotive Engineering. You have a 3 years of professional experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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The Opportunity Are you passionate about crafting products that users and team members love to engage with? We're seeking an individual who is enthusiastic about the power of voice and eager to redefine communication, collaboration, and idea sharing with our AI-powered collaborative note-taking app. As our core product gains rapid adoption, this role will play a pivotal part in enhancing how people and teams communicate. The ideal candidate thrives in a fast-paced, collaborative, and agile startup environment and is committed to delivering high-quality product experiences. Your Impact: Develop and maintain scalable web automation frameworks using Playwright, Selenium, and Pytest to ensure comprehensive test coverage. Define, design, and implement efficient automation strategies to reduce manual testing efforts and improve test execution speed. Provide test automation support by writing and maintaining high-quality test code, following best coding practices, and conducting PR reviews. Work closely with development and QA teams in an Agile environment to integrate automation early and accelerate release cycles. Drive multiple automation initiatives in a fast-paced CI/CD environment, ensuring stable and reliable test execution. Continuously evaluate and recommend cutting-edge automation tools to optimize testing, improve reliability, and minimize flakiness. Build utilities and scripts to automate repetitive tasks, improving overall test efficiency and reducing execution time. We’re looking for someone who: 5+ years of experience as an Sr SDET or Software Engineer, focusing on web application testing and automation. Strong programming skills in Python and JavaScript/TypeScript for test automation. Hands-on experience with Selenium, Playwright, and/or Puppeteer for browser automation. Expertise in Pytest for writing and structuring test cases. Solid experience with integration testing and end-to-end testing of web applications. Strong understanding of CI/CD processes and experience integrating automation into pipelines using Jenkins, GitHub Actions, or similar tools. Familiarity with containerization tools like Docker for creating test environments. Experience with web performance, accessibility, and security testing best practices. Exposure to cloud-based testing platforms such as BrowserStack or Sauce Labs. Excellent problem-solving skills and the ability to debug and analyze test failures efficiently. Strong communication skills with the ability to collaborate effectively in a fast-paced environment. About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $140,000 to $175,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.

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Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.Position Overview As a Deployment Operations Specialist, you will be the connective tissue between customers, product, and engineering teams. You will ensure that our robotic systems deliver consistent value in the field, proactively resolve operational challenges, and build processes that scale. This role requires a unique mix of technical acumen, customer empathy, and operational rigor. Responsibilities Customer Site Operations: Oversee daily operations at customer locations, ensuring robotic systems function reliably and meet service expectations. Customer Satisfaction: Enhance the customer experience during deployments by identifying pain points, driving solutions, and ensuring smooth handoffs between teams. Change Management: Manage customer change requests, clearly communicating schedule and budget impacts to all stakeholders. Issue Management: Act as the supporting point of contact for escalated technical issues, including root cause analysis and early detection of system anomalies. Field Testing & Maintenance: Assist with site mapping, on-site system testing, preventative maintenance, and upgrades to ensure long-term reliability. Performance Reporting: Compile, analyze, and present operational performance metrics (e.g., task success rates, system health) for regular reviews. Transition check-ins from weekly (during pilot) to monthly or quarterly for steady-state operations. Process Improvement: Identify, design, and implement process improvements that enhance operational efficiency and customer outcomes. Training & Enablement: Coordinate customer training sessions and establish scalable support models for customer success teams. Travel: Spend up to 20% of your time traveling to customer sites for deployment support, operational reviews, and field testing. Preferred Qualifications 6+ years of experience in product operations, technical operations, or field deployment (preferably robotics, hardware + software systems, or complex enterprise SaaS). Strong technical problem-solving skills with the ability to quickly learn complex systems. Proven track record of supporting cross-functional customer stakeholders, product, and engineering.  Excellent communication and organizational skills with the ability to distill complex issues into clear updates. Experience with performance metrics reporting, root cause analysis, and operational process improvement.

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About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)About EpiSci EpiSci, an Applied Intuition company, is redefining tactical mission autonomy. These technologies span across defense and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our tactical AI offers robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Our AI increases human capability in aircraft like the F-22 and F-16; it’s revolutionizing wireless tactical communication systems and filling the skies with swarms of autonomous UAVs supercharged by sensor fusion. About the role As an AI/ML Engineer at Applied Intuition Defense, you will be pivotal in developing, integrating, and maintaining real-time AI/ML solutions deployed across a range of heterogenous autonomous vehicles and different domains (e.g., land, air, sea, and space).  You will work with a team to continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of hardware platforms. You will be responsible for rapidly designing, developing, and integrating AI/ML models to interface across different platforms, processing data in real-time with real military operators in the loop. Your work will span the MLOps pipeline, improving ingestion and tooling, labeling and autolabeling, model architectures, training, evaluation and validation, inference-time optimization, and inference service deployment. You will have access to large training clusters with the latest GPUs, and the best AI talent and knowledge in the industry through Applied Intuition commercial ML. At EpiSci, you will: Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to process aerial imagery across a variety of platforms and sensor types (e.g. EO, IR). Work with the best and most competitive AI talent in the world through collaboration with Applied Intuition commercial product staff Scale up datasets using a variety of state-of-the-art data generation techniques including simulation, diffusion, and gaussian splats Create inference software providing low-latency, real-time feedback to autonomy software on-board live platforms Collaborate across the hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstration events Leverage software-in-the-loop and hardware-in-the-loop testing and profiling to collect performance data Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience We're looking for someone who has: MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent OR 5+ years of relevant experience working with simulation, machine learning, and ML infrastructure.Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems. Experience in optimizing and deploying machine learning models to edge devices Strong Python knowledge and high capability in C++ A core understanding of sensor physics and sensor parameters Experience leveraging modern AI-powered development tools (e.g., GitHub Copilot, Cursor) to accelerate the creation of robust, well-tested systems Adeptness with remote software development, the ability to handle and process large datasets, and a capacity to learn new software and algorithms as needed with little supervision  Travel Requirements: Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%) Interested candidates should also inquire about relocation assistance to Applied Intuition Defense facilities near Destin, FL, Washington, D.C., or San Diego, CA Security Requirements: Must be a U.S. Citizen Must hold or be eligible for a U.S. Secret security clearance For more information about U.S. security clearances: click here. Nice to have: PhD in Computer Vision, Machine Learning, or related field with strong academic contributions 5+ years of experience building and deploying perception models on real-world hardware A background in generating datasets using simulation engines like Unreal Engine, NVIDIA Omniverse, or Blender Experience with deeply optimizing Transformer-based models for edge devices like NVIDIA Jetson boards Proficiency in modern C++ (2020, 2023), CMake, Conan Familiarity with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), including integration and test experience on common COTS hardware devices (e.g., NVIDIA Jetson, Raspberry Pi5, M.2 accelerators) Willness to relocate to facilities near Destin, FL, Washington, D.C., or San Diego, CA Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $130,000 to $200,000 USD annually. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

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About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights.Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we’re over 100 and continuing to accelerate. What to expect High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. On the other hand, as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together, and you will have amazing team mates to get guidance and learn from.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have personally developed and maintained multiple systems from scratch or significantly contributed to major changes to existing systems. You know what trade offs are involved in building reliable, performant software at speed.Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply.We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required.Below is a detailed breakdown of all the technologies we use. - Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.- 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights.Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we’re over 100 and continuing to accelerate. What to expect High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. On the other hand, as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together, and you will have amazing team mates to get guidance and learn from.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have personally developed and maintained multiple systems from scratch or significantly contributed to major changes to existing systems. You know what trade offs are involved in building reliable, performant software at speed.Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply.We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required.Below is a detailed breakdown of all the technologies we use. - Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- -Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.- 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ326R220 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French, Spanish, Dutch, or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Vatic Labs is a quantitative trading firm in New York.  Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.   As an Quantitative Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities. We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. If you possess the following, we would love to explore what is available for you with our team: Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields Demonstrable experience coding in C++ or Python in a Linux environment Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression. In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods Have innate curiosity for understanding why and how certain techniques work Have deep knowledge of time-series analysis Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML,  etc. Have an interest and enthusiasm for learning about financial markets (previous experience not required) While we are serious about our work at Vatic, we also promote a fun environment! You can expect: Ping pong and poker games Fun team outings Unlimited office snacks Free breakfast, lunch, and dinner The base salary range for this role is between $3000 and $4500 weekly. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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What is Automat?Automat was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung’s innovation Think Tank Team. We envision a future where intelligent agents streamline business operations - and one day, run their own enterprises. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications.We value curiosity, collaboration, and impact above rigid requirements. If you're excited about AI and automation, thrive in flexible, creative environments, and want to work on meaningful, pioneering projects - this role is for you.We encourage anyone to apply - we think talent, passion and your unique perspective can outweigh years of experience. We are really looking for someone who can hit the ground running on day one and contribute at a rapid pace, while also being someone from whom we ourselves can learn from.The RoleWe're looking for a product minded Full Stack Software Engineer who thrives at the intersection of product, engineering, and experimentation. We’re a small talented team still in the early days, and your contributions will go beyond just code. You’ll have the opportunity to actively shape technical solutions, influence product direction, and contribute meaningfully to all aspects of our engineering culture.In this role, you'll collaborate closely with forward-deployed engineers as they support complex customer deployments, all while developing the scalable and robust foundational product which makes their work possible. You’re perfect for this role if you appreciate an elegant balance between UX excellence and infrastructural scalability.What You'll Do:Collaborate with our forward deploy team to understand how customers interact with Automat’s platform today, and use those learnings to bolster our flagship workflow management product.Build interfaces that use cutting-edge computer use models in real world applications.Develop beautiful and intuitive UX interfaces which abstract away complex business automation processes and create a seamless experience for non-technical users and engineers alikeInfluence our engineering practices, shape product direction, and contribute to building a world class company culture.What drives youCuriosity, creativity, and a relentless desire to learn and adapt to changing technologiesBuilding apps that bring AI to life in meaningful waysWorking in fast-moving, collaborative teams made up of engineers with diverse backgroundsExcitement about the power of rapidly developing with AI tools, with a healthy skepticism for their veracityWhat’s in your toolboxHacker mindset - you know when to ship out functional v0 by any means necessary and don’t pixel peep for no reasonProficiency in Python and TypescriptExperience building with modern web frameworks (Next.js, Svelte kit, React) and extensive experience working with REST APIsRobust background building complex architectures from the ground up, ranging from hacked together prototypes to scalable enterprise solutions.Experience using AI tools effectively (e.g. Cursor, Windsurf, lovable, etc.)What we are looking forTop notch communication and collaboration skillsComfort navigating ambiguity and wearing multiple hatsPassion for creating intuitive, user-friendly experiencesProactive mindset and high initiative, with a bias toward actionAn intrinsic desire to leave things better than you found themExperience as an IC in startups or other dynamic, high-growth setting