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Location: San Francisco; Palo Alto; New York City Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities - Apply state-of-the-art ML and LLM techniques to solve problems spanning: - Personalization (LLM memory, context summarization, retrieval and ranking); - Contextual recommendations and Monetization applications - Build frontier agent capabilities on top of Perplexity Computer - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. - Proven collaborator and communicator; excels in high-velocity, cross-functional teams. - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For - Experience with LLM context engineering or harness engineering. - Experience in mid-training or post-training frontier open source models - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ RESPONSIBILITIES - Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) - Partner closely with developers and research engineers to translate complex training requirements into technical solutions - Design and architect a global training scheduler - Design and architect reinforcement learning systems and continuous learning pipelines - Drive long-term improvements to increase reliability of systems and velocity of development - Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure - Make critical architectural decisions balancing performance with system reliability - Lead technical discussions and mentor junior engineers on infrastructure best practices - Contribute to long-term technical strategy and infrastructure roadmap REQUIREMENTS - Bachelor’s degree or higher in Computer Science or related field - 5+ years of experience - Proficiency in Go, with - Deep expertise with Kubernetes in production environments - Advanced understanding of distributed systems concepts and performance tuning - Proven experience designing observability systems - Experience with ML/AI workloads and MLOps platforms NICE TO HAVE - Experience with distributed storage systems - Python experience a plus - Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) - Experience with workload orchestration platforms like Temporal or Airflow - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA, New York City, NY, Seattle, WA 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. About the role We're looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key r esponsibilities Architect and implement cutting-edge iOS applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed Minimum qualifications Expertise in Swift, UIKit, SwiftUI, and iOS frameworks Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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. About the role We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key responsibilities Architect and implement cutting-edge Android applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as neede Minimum qualifications Expertise in Kotlin, Jetpack Compose, Android SDK and the broader Android ecosystem Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity: The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices. Our vision is building a world class smart and scalable risk service that will prevent, detect, and respond to fraud which will improve business revenue, reduce user friction, and enhance user trust . As the leader of it, you will own and build OKX fraud risk systems and manage the roadmap to enable our legitimate customers to gain access to a wide array of crypto assets. The scope of this role includes designing and developing risk models, risk products and risk platforms, integrating with fraud & risk vendors, enabling healthy business growth and enhancing customer risk experience. This role will work closely with risk strategy, risk analytics, operations, engineering partners and compliance to achieve the business success goals of the company. If you are an entrepreneurial product leader, who doesn't hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you. What You'll Be Doing: Drive risk product / business of OKX to world-class, align risk product initiative and development with business, engineering and risk strategy teams so that financial losses, customer experience and business growth are well balanced Lead product roadmap, strategy and execution of Risk Platform; develop and champion product features, including but not limited to decision engine, feature stores etc, to empower data strategy & data science teams to easily implement, execute, and carry out decision strategies across the entire user journey, and at the same time detect & prevent financial losses due to scams, ATO and other fraud activities Lead ML/AI model projects as the foundation of the Risk Platform; work with data science, data analyst, ML engineering and development team to build, implement, monitor and constantly improve model services Highly adaptive and comfortable dealing with ambiguity. Highly data-driven in product & business decision making process Passionate about customer experience; always driven to seek customer feedback and obsessed with customer experience improvement & optimization Define and monitor all levels of metrics to measure the success of the product; drive epic and sprint level prioritization and product backlog grooming etc Strong and positive collaboration skills to lead and drive the entire product research, design and development process with cross-functional stakeholders What We Look For In You: Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment Nice to Have: Past experience in AI and machine learning Crypto/Blockchain experience or a passion for Bitcoin, crypto, Defi and blockchain technology Fluent in Mandarin and English Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ONSITE #LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC 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. About the role We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations. Responsibilities: Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure Architect solutions for storing and efficiently querying large volumes of security-relevant data Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities Work closely with security and infrastructure teams to understand requirements and deliver solutions Mentor engineers and contribute to hiring and growth of the Security team Participate in on-call shifts You may be a good fit if you: 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines Track record of building and maintaining internal developer tools or security platforms Strong understanding of data processing pipelines and experience working with large-scale logging systems Experience with: Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows) Infrastructure-as-code (Terraform, CloudFormation) Query optimization for large datasets Experience with building stable and scalable services on cloud infrastructure and serverless architectures Ability to write maintainable and secure code in Python Experience working with security teams and translating requirements into technical solutions Ability to lead technical projects with minimal guidance Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all organizational levels Demonstrated success in bringing clarity and ownership to ambiguous technical problems Strong systems thinking with ability to identify and mitigate risks in complex environments Strong candidates may also have experience with: Experience building security tooling from the ground up Background in implementing security monitoring solutions (SIEM, log aggregation, EDR) Background in detection engineering or security operations Experience with: SOAR platform/automation development Data lake / Database architecture API design and internal platform creation Track record of applying ML/AI to security problems Experience scaling security operations in a high-growth environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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.

Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Develop infrastructure components for our ML inference platform using Python and Go - Implement and maintain Kubernetes deployments for model serving - Contribute to our inference orchestration layer for model deployments - Build and enhance monitoring systems for model performance metrics - Implement efficient resource management solutions for ML workloads - Support infrastructure automation to improve ML deployment workflows - Work closely with team members to implement technical solutions - Help balance performance optimization with system reliability - Participate in technical discussions around infrastructure improvements - Learn and apply infrastructure best practices REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus - Working knowledge of Kubernetes and containerization - Basic understanding of machine learning concepts and model serving - Familiarity with distributed systems concepts - Experience with basic monitoring and logging tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Germany; Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. The Role For hundreds of thousands of European entrepreneurs, our iOS app is Finom. It's how they check their cash flow over morning coffee, approve a payment between client meetings, and freeze a card the moment something looks off. We're mobile-first by conviction, not convenience — the app isn't a companion to the "real" product; it is the product. And as an AI-native platform, the features you build increasingly carry intelligence inside them: AI-powered accounting, smart categorization, and agentic workflows that quietly save business owners hours every week. When you ship something great, someone somewhere feels it the same day. That's why we're not looking for someone to implement tickets. We're looking for a Senior Mobile (iOS) Engineer who thinks like a product builder — someone who cares deeply about the "why" behind what they're building, challenges assumptions when needed, and proactively spots opportunities to create better outcomes. You'll be embedded in a cross-functional domain team — Backend, Mobile, ML/AI, QA, Design, and Product — that owns a shared product area end-to-end. No handoff culture, no "not my layer": everyone in the team is solving the same customer problem, and you'll shape solutions from the first product conversation to the moment the feature is live in users' hands. Fewer silos means more flow — and real, end-to-end ownership. What You Will Be Doing How We Build Agentic development is table stakes at Finom — for every craft, mobile included. Our engineers work with Claude Code and similar harnesses daily, and we've made it a first-class part of how the company operates, not an individual productivity hack. We follow a shared SDLC approach built around Spec-Driven Development (SDD): features start as clear, reviewable specs that both humans and AI agents execute against, powered by a shared AI development toolbelt and a growing library of skills, rules, and context maintained across guilds. You won't be figuring out AI-assisted development alone — you'll join an engineering organization that has already invested in the infrastructure, standards, and shared practices, and you'll be expected to use them, improve them, and raise the bar for others. What You'll Do Design and build new features for our iOS application, used daily by business owners across Europe: multi-account cash flow management, banking transactions and payments, physical and virtual card issuance and control, and AI-powered accounting automation. Own outcomes, not just code. You'll follow your features into analytics, jump into customer issues without being prompted, and care about whether what you shipped actually moved the needle. Build polished, responsive UIs with UIKit and SwiftUI — in a financial app, trust is built (or lost) in the details. Drive technical decisions within your domain, discuss trade-offs openly with product managers, and explain constraints clearly to non-technical stakeholders. Raise the bar on engineering quality — automated testing, thorough code reviews, and mobile security best practices are non-negotiable in a regulated fintech. Mentor the engineers around you and contribute to CI/CD pipelines, tooling, and mobile best practices across the team. Who You Are Who You Are You're pragmatic, learn quickly, and have a proven track record of shipping products that matter. Above all, you're curious — about the product, the users, the business, and how your technical decisions impact all three. Curiosity. You want to understand the "why" behind every feature. You ask what problem it solves, question whether there's a simpler path, and explore how your decisions ripple into product, users, and revenue. Business acumen. You connect your work to company objectives. You understand the "so what" behind every decision, and you'd rather ship the feature that moves the right metric than the one that's merely interesting to build. Communication. You communicate clearly and concisely in English across technical and non-technical audiences — from fellow engineers to PMs to business stakeholders — and you genuinely enjoy the dynamics of a cross-functional team. T-shapedness. Your iOS craft runs deep, but your curiosity runs wide. You'll peek at the backend contracts, ask questions about the ML models, and dive into analytics to understand how your features perform. Ownership. You take responsibility not just for your code, but for the outcomes. You move without being prompted — whether that's improving team processes, jumping on a production issue, or mentoring a colleague. Your Experience Includes 5+ years of commercial iOS development with strong knowledge of Swift. Deep understanding of OOP, SOLID principles, and design patterns. Practical experience with the VIPER architectural pattern and the Coordinator navigation pattern — and the judgment to know when a simpler approach serves the product better. Excellent knowledge of UIKit and experience (or a strong desire to grow) with SwiftUI. Experience with layout development in code, particularly using SnapKit or similar tools. Ability to write unit and UI tests. Confidence with Git / GitLab, including setting up and maintaining GitLab CI/CD. Hands-on experience with agentic development tools (Claude Code, Cursor, Copilot, or similar) as part of your daily workflow — writing prompts, configuring rules and skills, and critically evaluating AI-generated output with tests, linters, and review. This is table stakes for all engineering crafts at Finom, mobile included. A builder's mentality: you care deeply about shipping great products, not just writing great code. Nice to Have Background in fintech or financial products — you understand the stakes of working in a regulated environment. Solid grasp of mobile security best practices (especially critical in our domain). Experience profiling and optimizing UI performance — reducing rendering bottlenecks and hitting smooth 60/120fps on iOS. Hands-on work with performance tooling: Instruments, XCTest, or similar. Published apps on the App Store you're proud of. An active GitHub profile with code you're happy to share. Deeper agentic engineering experience beyond daily tool use — setting up agent environments and harnesses, authoring reusable skills and behavioral rules, or contributing to a team's shared AI development practices. Understanding of model capabilities and limitations — knowing which model fits which task and how to manage the context window effectively. Awareness of AI security risks — prompt injection, data leakage, and safe handling of untrusted inputs in agentic workflows. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments. Few teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Dedicated Inference team: - Chains for multi-component workflows https://www.baseten.co/blog/baseten-chains-explained/ - Asynchronous inference https://www.baseten.co/blog/using-asynchronous-inference-in-production/ - Model APIs for frontier models https://www.baseten.co/products/model-apis/ - Model training built for production inference https://www.baseten.co/products/training/ RESPONSIBILITIES - Implement new features and products for the team - Design ergonomic APIs and abstractions to solve customer problems - Fix bugs and resolve customer issues with urgency - Work across the stack - regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods - Work closely with the product and forward deployed engineering teams to develop and drive new product ideas REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or JavaScript proficiency is a plus - Familiarity with web applications & databases - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).