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PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER JOIN OUR TEAM AT HAWK-EYE INNOVATIONS Value Stream: Innovation Hub Location: Hybrid working – minimum 2 days per week in the office Office: London, Basingstoke and Bristol Contract: Permanent, Full-Time Salary: £76,340 – £109,060 per annum JOIN OUR TEAM AS A PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER AT HAWK-EYE INNOVATIONS We're looking for an exceptional Principal Computer Vision / Machine Learning Engineer to join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera systems to deploying advanced algorithms onto embedded hardware, you'll play a key role in developing solutions that power world-leading tracking technology used across global sport. If you enjoy solving complex engineering challenges, influencing technical direction and building production-ready computer vision systems, we'd love to hear from you. WHAT YOUR DAY WILL LOOK LIKE As a Principal Computer Vision / Machine Learning Engineer, you'll play a key role in developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. You'll collaborate with software engineers, machine learning specialists and product teams to solve complex technical challenges, helping bring advanced tracking technology into a wider range of sporting environments. APPLIED COMPUTER VISION * Design and develop algorithms that reconstruct accurate 3D positional and trajectory data from 2D detections, applying mathematical and physical modelling of motion, projectiles and object interaction. COMPUTER VISION SYSTEMS * Design and build computer vision components supporting detection, tracking and calibration workflows across multiple sports. CALIBRATION & VALIDATION * Contribute to calibration systems, handling coverage gaps and validating reconstructed trajectories against real-world scenarios. EMBEDDED DEPLOYMENT * Support the optimisation and deployment of algorithms onto embedded NVIDIA Jetson hardware, helping deliver efficient real-time performance on edge devices. MACHINE LEARNING COLLABORATION * Work alongside our dedicated Machine Learning discipline, leveraging existing detection models where appropriate while owning the Computer Vision and applied modelling layer built on top of them. TECHNICAL LEADERSHIP * Influence algorithm design, technical architecture and data pipeline decisions within a fast-moving product team while providing technical guidance across complex engineering challenges. CROSS-FUNCTIONAL COLLABORATION * Partner with data platform, backend and frontend engineers to define data requirements, representative datasets and reliable production outputs. QUALITY & RELIABILITY * Help ensure tracking outputs remain accurate and reliable across challenging real-world environments where conditions can vary significantly. WHAT WE VALUE At Hawk-Eye, we thrive on solving difficult engineering problems through innovation, collaboration and technical excellence. As a Principal Engineer, you'll remain hands-on while influencing the technical direction of our products. You'll work alongside highly skilled engineers across Computer Vision, Machine Learning and Software Engineering to develop innovative solutions that continue to push the boundaries of sports technology. We're looking for someone who enjoys solving complex technical challenges, embraces ambiguity and wants to make a lasting impact through technical leadership and engineering excellence. SKILLS, KNOWLEDGE, AND EXPERTISE We're looking for someone with: * Extensive commercial experience in Computer Vision with a strong grounding in applied mathematics and physical modelling. * Expertise in trajectory estimation, motion reconstruction, projectile physics or similar 2D-to-3D reconstruction problems. * Experience designing Computer Vision algorithms for detection, tracking, calibration or reconstruction systems. * Experience working with camera-based data sources, tracking pipelines or spatial and temporal datasets. * Strong C++ development experience. * Python experience for prototyping, experimentation or tooling would be advantageous. * Experience deploying or optimising algorithms for embedded or edge GPU hardware, particularly NVIDIA Jetson, is highly desirable. * Working knowledge of Machine Learning techniques is beneficial; however, this role is primarily Computer Vision and applied modelling focused rather than Machine Learning research focused. * Comfortable working with ambiguity and evolving requirements within a fast-paced, product-focused engineering environment. * Excellent communication skills with the ability to collaborate across Computer Vision, Machine Learning, backend, frontend and data platform teams. * Experience influencing technical direction and contributing to architecture decisions. WHAT THIS ROLE IS NOT To help set expectations, it's important to understand what this role focuses on: * This is not a pure Machine Learning research role. The emphasis is on applied Computer Vision, mathematical modelling and delivering production-ready solutions rather than researching or training novel Machine Learning models. * This is not a Data Engineering role. You'll be responsible for producing high-quality model outputs, while separate teams own data storage, transformation, APIs and wider platform services. * This is not a people management role by default. As a Principal Engineer, you'll provide technical leadership, influence engineering decisions and mentor through technical expertise. Depending on the team structure, there may be opportunities to lead a squad or technical discipline, but direct line management is not a core responsibility. REWARD, BENEFITS, AND WELLNESS We offer a comprehensive package to support your growth and well-being. UNITED KINGDOM * Annual Leave: 25 days (excluding bank holidays). * Enhanced Pension Scheme: 5% matching. * Flexible Working: Hybrid model (minimum 2 days in the office per week). * Wellness: Complimentary Unmind app and onsite gym (Basingstoke). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. HUNGARY * Annual Leave: Standard according to local labour law. * Flexible Working: Hybrid model (2 days in our office per week). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. * Additional Benefits: Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), private medical insurance, life & accident insurance, MindentMent Dental Clinic discounts, seniority awards, and an Employee Assistance Program. ABOUT US Hawk-Eye Innovations, part of Sony Sports Technology, is a world leader in sports technology. We deliver sophisticated officiating, broadcast and player tracking solutions across more than 25 international sports. Every year, our technology supports over 30,000 sporting events across more than 500 stadiums in 90 countries. Our Innovation Hub focuses on solving the next generation of technical challenges, developing cutting-edge Computer Vision and Machine Learning solutions that continue to redefine what's possible in sports technology. EQUAL OPPORTUNITY STATEMENT As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a workforce that is diverse, inclusive and representative of the communities we serve. Sony Sports Technology is an equal opportunity employer and welcomes applications from people of all backgrounds and experiences. We recruit, retain, develop and promote people based on their skills, qualifications and experience. Our commitment is to provide a respectful, inclusive environment where everyone has the opportunity to contribute, grow and succeed. APPLY TODAY Join Hawk-Eye Innovations and help shape the future of sports technology. As a Principal Computer Vision / Machine Learning Engineer, you'll work on some of the most technically challenging problems in Computer Vision, applied mathematics and real-time tracking, helping build the next generation of world-leading sports technology.
Head of Youth & Amateur Products About Hawk-Eye Innovations Hawk-Eye Innovations, a Sony Sports Technology company, is the technology behind sport's biggest moments. From electronic line calling at Wimbledon and the US Open, to VAR, Goal-Line Technology and Semi-Automated Offside in football, ball tracking in cricket, the TMO in rugby, replay in the NFL, NHL and NBA, and Statcast in MLB, when the world's biggest events need to make the right call, capture the perfect angle, or unlock the next layer of insight, they trust Hawk-Eye. Since 2001 we've been making sport fairer, safer, more engaging and better informed, fusing computer vision, AI and broadcast craft across 25 sports in 100+ countries. Pioneering. Inspiring. Innovating in sport, from the field to the fan. Role Overview Hawk-Eye's technology has defined elite sport for over two decades. Now, we are embarking on one of the most exciting strategic opportunities in our history: bringing that same world-class capability to the amateur sports market. As Head of Youth & Amateur Products, you will be the driving force behind this mission. This is a rare opportunity to build a new business unit from the ground up, leveraging Hawk-Eye's existing IP, data infrastructure, and brand credibility to unlock a new audience. You will lead across strategy, product development, commercial, and operations, with full P&L accountability and significant headroom to build a team around you. This is a senior entrepreneurial leadership role. You will have the backing of a world-class technology organisation, the expertise from the most successful sports technology officiating company, freedom to operate, and the commercial mandate to deliver meaningful growth. Key Responsibilities Strategy & Market Development * Define and own the long-term vision and strategic roadmap for the Youth and Amateur business unit. * Identify key sports markets and amateur segments with the greatest opportunity for Hawk-Eye technology adoption. * Conduct market research and competitive analysis to inform strategic decisions and prioritise investment. * Develop and manage business cases for new market entry and product expansion. * Work closely with senior leadership to align Youth & Amateur strategy with wider Hawk-Eye and Sony Sports business objectives. * Monitor industry trends and emerging technologies to ensure Hawk-Eye remains ahead of the competitive curve in amateur sports tech. Product Development * Lead end-to-end development of new Youth & Amateur products; built from the ground up for amateur, grassroots, and recreational markets. * Translate complex, professional-grade technology into accessible, scalable, and affordable solutions without compromising on quality. * Define product requirements, user stories, and success metrics in collaboration with engineering and design teams. * Oversee the full product lifecycle: concept, prototyping, testing, launch, and continuous iteration. * Ensure products meet high standards of usability, performance, and reliability appropriate for consumer and semi-professional markets. * Foster a culture of innovation and continuous improvement within the product team. Commercial * Own the commercial strategy for Youth & Amateur, including pricing models, go-to-market planning, and revenue targets. * Identify and develop partnerships with sporting bodies, clubs, leagues, and retail or digital distribution channels in target markets. * Lead commercial negotiations and manage key stakeholder relationships. * Drive customer acquisition, retention, and growth strategies across amateur sports markets globally. * Collaborate with marketing to develop compelling campaigns and differentiated brand positioning for Youth & Amateur products. * Report on commercial performance against plan, providing clear insight and strategic recommendations to leadership. * Deliver growth expectations and ROI as defined within the agreed business plan. Operations & Team Building * Build and manage the operational infrastructure required to support the Youth & Amateurbusiness unit at scale. * Recruit, develop, and lead a high-performing cross-functional team across product, engineering, commercial, and operations. * Establish processes and frameworks for efficient product delivery, team collaboration, and performance management. * Manage budgets, resources, and timelines to ensure delivery against strategic milestones. * Work cross-functionally with Hawk-Eye's existing technology, engineering, and operations teams to leverage internal capabilities. * Identify and manage third-party vendors, partners, and suppliers as required. * Implement robust reporting mechanisms to track operational performance and drive accountability. About You You are an entrepreneurial senior leader with a track record of building businesses or business units from early-stage through to commercial scale. You combine strategic clarity with hands-on delivery, and you are motivated by the chance to bring transformative technology to a market that has never had access to it. * Proven senior leadership experience, ideally within sports technology, consumer technology, or a related B2C or B2B2C industry. * Demonstrated track record of building and scaling products or business units; ideally from a standing start. * Strong strategic thinker with the ability to translate vision into actionable plans and commercial outcomes. * Commercially astute, with direct experience owning revenue targets and go-to-market strategies. * Solid understanding of product development processes with the ability to lead cross-functional teams through the full product lifecycle. * Experience working in or alongside amateur, grassroots, or participatory sports markets is highly desirable. * Exceptional communication and stakeholder management skills; able to influence at all levels, from engineers to board. * Entrepreneurial mindset: comfortable with ambiguity, adaptable, and relentlessly driven by results. * Thrives in fast-paced, high-expectation environments where ownership and initiative are rewarded. * Genuinely passionate about sport and the power of technology to transform participation at every level. * A natural leader and talent magnet; someone who builds strong teams and creates an environment where people do their best work.
Description: Aquark Technologies is a start-up with a vision to create disruptive technology in sensing and quantum computing by delivering the world’s most portable, scalable and high performing miniaturised cold atom systems. As a Vacuum Process Engineer, you will be responsible for translating vacuum concepts into robust, repeatable, and scalable fabrication processes for miniaturised vacuum systems and miniaturised vapour cells. You will design and implement bonding, sealing, and assembly techniques, ensuring they are reproducible and suitable for future manufacturing. This role sits within a research programme (funded by UKRI FLF) to transform traditional vacuum hardware into compact, robust, and scalable platforms, enabling a shift from bespoke laboratory setups to manufacturable, off-the-shelf solutions. Working at the intersection of vacuum science, materials engineering, and microfabrication within a fast-paced startup environment, you will collaborate with a driven team to deliver innovative, high-impact technologies while contributing to the growth of a dynamic and evolving company. Responsibilities: * Develop miniaturised vapour and UHV cells using microfabrication techniques, including integration of alkali sources and hermetic sealing processes. * Fabricate chambers using MEMS techniques, including testing innovations with active pumping and passive pumping. * Support, as needed, the modelling of sealing and fabrication processes, ensuring simulation inputs reflect realistic geometries, materials, and manufacturing constraints. * Train other staff as needed. Qualifications: Essential * Degree (BSc/MSc/PhD or equivalent experience) in Engineering, Physics, Materials Science, or a related field * Experience with vacuum system design, assembly, and operation (high vacuum or UHV) * Strong mechanical aptitude with hands-on experience in building, assembling, or prototyping mechanical systems. * Strong understanding of vacuum-compatible materials and sealing techniques Desirable * Experience with microfabrication or precision manufacturing processes (e.g. bonding, MEMS, wafer-level techniques) * Knowledge of hermetic sealing methods (e.g. anodic bonding, thermocompression, brazing, laser welding) * Proficiency in data analysis, modelling, or automation desired. * Familiarity with alkali vapour cells * Ability to work independently, problem-solve, demonstrate initiative, and engage in continuous learning to adopt new skills. * Ability to work collaboratively across disciplines in a fast-paced R&D environment Renumeration: * Total salary and bonus up to: £46,000 to £72,000 (salary dependent on experience) * Base salary: £39,428.57 to £61,714.29 * Company Milestone Bonus Scheme, up to: £6,571.43 to £10,285.71 (2x £3,285.71 to £5,142.86 payments). * Full earnings pension contribution: * Employer contribution – 3% * Employee contribution – 4% * Relief at source – 1% Other Benefits: * Private Medical Insurance. * Group Life Insurance. * Employee Assistance Programme. * 26 Days of holiday + Public holidays. * Flexibility around core hours. * Regular company outings, team building and training opportunities. * Electric Vehicle Salary Sacrifice. * Encouraged learning to continue professional development.
SUMMARY OF THE ROLE: As a Product Designer at Maze, you'll define what product design looks like for AI agents in cybersecurity — a problem space where the design patterns don't exist yet. This is an early-hire role at a well-funded Series A startup building at the intersection of generative AI and security, and you'll own the product surface end-to-end while working directly with our Head of Product, engineering, and founders. The product challenge is genuinely new. Our AI agents investigate vulnerabilities autonomously, surface findings with real context, and collaborate with security teams to cut through noise. Your job is to design how humans and agents work together — how trust gets built, how decisions get communicated, how complex security workflows become understandable. There's no playbook for this. You'll create one. This role suits someone who operates closer to a product director than a screen-shipper — driving direction, influencing strategy, and making business-impact calls, alongside the visual craft to deliver them. You'll be using AI tools daily to move faster, but your craft is the floor: every design choice should hold up on its own merits, independent of how it was generated. Success looks like a design system shipped and adopted across the product, and concrete product outcomes — feature adoption, POC-to-customer conversion, and customer satisfaction with the experiences you ship. YOUR CONTRIBUTION: * Define AI-Agent UX Patterns: Design how security teams collaborate with autonomous AI agents — how investigations get presented, how trust is established, how humans steer the agent without slowing it down. You're inventing patterns, not applying existing ones. * Drive Product Direction, Not Just Design: Operate as a product-led designer — shaping roadmap, challenging requirements, influencing leadership with research and business reasoning. The bar is "what should we build, and why" alongside "how should it look." * Own the Product Surface End-to-End: Take features from problem framing through shipped product, working in tight partnership with PMs and engineers — including backend. Run discovery, prototype rapidly, validate with customers, and stay close to implementation. No throwing designs over the wall, no shipping around the engineering team. * Build the Design System: Create and scale a component-based design system that becomes the foundation for everything we ship. Establish patterns for AI-human collaboration that the team can build on as we grow. * Pioneer AI-Assisted Design Workflows: Use AI tools to accelerate ideation, prototyping, and exploration — and develop the methodologies the rest of the team will adopt. Your daily workflow is itself a contribution. * Translate Research Into Design: Run customer research, talk to security teams directly, and turn what you learn into shipped product. Use AI-assisted analysis to move from insight to prototype in days, not weeks. * Set the Quality Bar: Establish what "good" looks like for product design at Maze across craft, consistency, and customer impact — as the foundation for a design team that scales behind you. WHAT YOU NEED TO BE SUCCESSFUL: * Visual Craft for Data-Dense UI: A portfolio that holds up to detailed scrutiny — strong colour theory, deliberate visual hierarchy, considered information architecture for complex workflows. This is the bar, not a nice-to-have. Your interview will dig into specific design choices and why you made them. * Product Design Track Record: 4-7 years of professional product design experience, with shipped work in B2B SaaS. We're flexible on years; demonstrated craft and clear ownership matter more than time served. * Data-Heavy B2B Interfaces: Direct experience designing for complex workflows, dense data, and technical audiences. Dashboards, investigation tools, developer products, security platforms — the kind of UI where information density and decision support actually matter. * AI as Tool, Not Crutch: You use AI tools (Figma AI, Cursor, v0, Midjourney, ChatGPT/Claude, etc.) as part of your daily workflow and can speak credibly to what they're good for and where they break down. Critically, every design choice you ship should hold up on its own — AI accelerates your work, it doesn't substitute for foundational craft. * Product-Strategic Thinking: Track record of driving product direction, not just executing on briefs. You've influenced what to build with research, framed problems for leadership, and made business-impact calls — ideally in environments where you operated without a dedicated PM. * Deep Engineering Collaboration: Demonstrable history of shipping work in tight partnership with engineers — including backend. Pairing on implementation, working in design tokens, understanding the systems your designs land in, building consensus rather than shipping around resistance. * Design Systems Experience: Background building or meaningfully contributing to a design system in a production product. You think in components, tokens, and patterns, not one-off screens. * Customer-Led Approach: Comfortable running discovery directly with users, synthesising what you hear, and using that to make calls about what to build. You don't wait for research to be handed to you. * Nice to haves: * Experience designing for cybersecurity, developer tools, or other technical product domains * Background designing agentic or AI-native product experiences (not just AI features bolted onto existing products) * Early-stage startup experience where you've operated without a manager or established design function WHY JOIN US: * Define a New Design Space: AI agents in security is a genuinely new problem. The interaction patterns, trust models, and workflows don't exist yet — you'll create them. The work you do here will influence how this entire category gets designed. * Fast-Track to Design Leadership: This is a founding-trajectory role and we're hiring for someone who wants a long-term home, not a stepping stone. As the team scales, the natural path is IC → Lead → Head of Design. If you have leadership ambitions, you'll have the runway to grow into them. If you'd rather stay deeply hands-on, the IC scope grows with the product. * Ambitious Challenge: We're using generative AI (LLMs and agents) to solve one of the most pressing problems in cybersecurity — the gap between vulnerability findings and meaningful action. You'll be designing at the cutting edge of this field. * Expert Team: Work alongside hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO. * Impactful Work: Cybersecurity is a force for good. The experiences you design will directly affect how security teams protect organisations worldwide. * Build an AI-Native Company: We're building a new company in the AI era with the opportunity to design everything from the ground up — including how the design function itself works. You'll help pioneer AI-assisted design practices and set new standards.
UX Designer at Logikfabriken We're a consultancy of curious, generous people in tech who care as much about the craft as the team around us. Are you a UX Designer who wants to own the full design process, from discovery to delivery, on complex products that are both data heavy and deeply human? Perfect! 👌 You'd work close to developers, product managers, and stakeholders, balancing user needs with technical and business reality, and designing things that can actually be built, maintained, and evolved over time. You're confident in your work, you do your best thinking when problems get complex, and you want room to make a real impact. You're also someone who's social, clear in your communication, and genuinely enjoys close collaboration. That's a big part of how we work and how we have fun together. EXPERIENCE 5+ years of UX design experience You've worked end to end, from research and concepts through interaction design, prototypes, and follow up in real usage. You're used to making design decisions where technology, business, and user needs all need to be balanced. Experience from SaaS, B2B, internal tools, or complex workflows is a strong plus ✚. You know what it means to design for products that ship continuously, evolve over time, and serve real customers. WHAT WE'RE LOOKING FOR Curious and forward leaning. You want to understand users, products, and the problem behind the problem, and you keep an eye on where design and technology are heading next. Always learning, always sharing. You look for ways to learn from others and pass on what you know, whether through pairing, critique, writing, or just thinking out loud in a chat thread. A love for complex problems. Tangled domains, messy edge cases, and unclear requirements energize you rather than scare you off. A collaborative way of working. You share early, invite feedback, and bring others along instead of designing in isolation. Comfortable with AI in your craft. You've adopted AI tools into your own workflow, and ideally also designed AI powered features or products. Strong craft in interaction design, prototyping, and visualizing solutions. Outcome oriented. You don't stop at shipped. You care about whether the design actually moved the needle for users and the business, and you use that to shape what comes next. A pragmatic mindset. Good design that ships beats perfect design that never does. YOUR FIRST ASSIGNMENT You'll join a Swedish SaaS company in the people and culture space as the designer in one of their product teams. You'll be a member of the product trio alongside a product manager and an engineering lead, and you'll own the full design process for the team, from discovery through delivery. You'll also play a real part in shaping how AI shows up in the product. The product helps organizations understand and improve employee engagement, leadership, and wellbeing through continuous feedback and AI driven insights. Expect complex flows, layered data, and users that range from frontline employees to executives. A great fit if you like designing for products that are both data heavy and deeply human. ---- ❤️Logikfabriken är ett konsultbolag av och för talangfulla, engagerade och roliga personer inom tech. 🚀Ambitionen är att bli Sveriges bästa och mest inspirerande arbetsgivare. 🌕Tillsammans skapar vi förutsättningar och driver företaget framåt. 🍾Att umgås är något vi värdesätter och därför åker vi på två konferenser per år, anordnar talks, afterwork och mycket annat skoj. 💰Förutom ovanstående tror vi på schyst ersättning och transparens. Därför har alla på Logikfabriken samma villkor, sätter sin egen lön, pension, föräldraersättning, antal semesterdagar och andra förmåner. Vår modell är flexibel, trygg och ger i de flesta fall en ordentlig löneökning. Här kan du själv se vad du skulle kunna tjäna: Räkna ut din lön 🌳Vi brinner även för hållbarhet. Därför är Logikfabriken sedan 2017 klimatneutralt och jobbar ständigt för att minska vårt avtryck. Här hittar du hela vårt erbjudande: Logikfabrikens FAQ
WHO WE ARE Sapien is rethinking how finance teams operate in the age of AI. We’re building toward an autonomous CFO—systems that run company financials end-to-end. Our platform analyzes complex financial data in real time to increase decision cadence, prevent costly mistakes, and surface value. Sapien has caught multi-million-dollar errors, saved thousands of jobs, and returned significant dollars to customers’ bottom lines. We partner with traditional businesses—manufacturing, healthcare, restaurants, and large enterprises—to deeply understand and automate their financial workflows. We’re HQ’d by Madison Square Park in NYC and backed by General Catalyst, Neo, and top operators from Google, OpenAI, Microsoft, Ramp, and Stripe (over $9M raised). THE ROLE You'll build the AI agent capabilities that power Sapien's autonomous finance operations. This means designing novel architectures for reasoning over complex financial data, implementing verifiable and observable agent workflows, and building systems that learn and adapt to each company's unique operations. This is a research-meets-product role. You'll work on cutting-edge agent capabilities—from observability and library learning to semantic search and multi-modal parsing—and ship them directly into production for customers. WHAT YOU'LL DO * Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows. * Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions. * Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and custom retrieval strategies. * Build multi-modal parsers that unify diverse financial data sources (Excel, ERPs, CRMs) into coherent, queryable schemas that agents can reason over. * Design benchmarking and evaluation suites that quantify Sapien's accuracy, reliability, and business impact across different customer workflows. WHAT WE'RE LOOKING FOR * Strong algorithmic thinking. Demonstrated through ML research, competitive programming, mathematics, or building novel systems from scratch. * Experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures. * Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback. HOW YOU WORK (VALUES WE CARE ABOUT) * Adaptability: You thrive on diverse, open-ended problems. One day you're implementing a new agent architecture, the next you're debugging a customer data issue—and you bring the same intensity to both. * Ownership: You take problems from research paper to production. You don't wait for direction—you identify what needs to happen and drive it to completion. * Opinionated: You have strong technical perspectives on what works and what doesn't. You push back on approaches you disagree with and make the team's thinking sharper. * Mission-driven: You're energized by building AI that transforms how businesses run. You connect technical decisions to real customer outcomes and care deeply about the impact. * Collaborative excellence: You share knowledge, give thoughtful feedback, and invest in making the team better. You bring new ideas from papers and discussions to elevate everyone's thinking.
ABOUT FATHOM We created Fathom to eliminate the needless overhead of meetings. Our AI assistant captures, summarizes, and organizes the key moments of your calls, so you and your team can stay fully present without sacrificing context or clarity. From instant, searchable call summaries to seamless CRM updates and team-wide sharing, Fathom transforms meetings from a source of friction into a place for alignment and momentum. We’re a small company that creates magical experiences through the hard work of focused builders. We try to live our values - Care Deeply, Seek Leverage, Share Ownership, Sustain Urgency, and Be Tenacious - in everything we do, every day. We started Fathom to rid us all of the tyranny of note-taking, and people seem to really love what we've built so far: 🥇 #1 Most Used App of the Year on HubSpot for 2025 🔥 #1 Rated on G2 with 4,500+ reviews and a perfect 5/5 rating 🥇 #1 Product of the Day and #2 AI Product of the Year 🚀 Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces 📈 We’re hitting revenue and usage records every week We think you’ll be pretty excited about Fathom too if you give it a try. Sign up today (it’s free)! Role Overview As an AI Engineer at Fathom, you'll be hands-on with LLMs, prototyping and refining our features. Your work will directly shape our product by generating practical specifications that steer our engineering team towards impactful updates and novel capabilities. This role is a bit of a hybrid of engineering // analytics // product management // research. It would suit someone already in an AI Engineering role as well as software engineers or data scientists that have gone deep into building AI features. This role is open to the US only, and does require 3 days per week in-office in San Francisco, California. What you’ll do * By 30 Days, you will have * Upgraded existing features to be smarter and/or faster by combining your prompt engineering experience with the latest available models. * Improved or created new evaluations for our existing features. * By 90 Days, you will have * Prototyped new AI features that address valuable use cases. * Fine-tuned models for our specific needs. * Developed new processes to speed-up how we migrate to new AI models. SHOW OFF IN YOUR APPLICATION! (IMPORTANT) When applying, include a quick demo of something you made with LLMs that you’re really excited about. It should showcase your fit for the role. Include it in any form you’d like (such as a link to a short video or a repo). REQUIREMENTS Hard Skills * Experience with prompt engineering – able to prompt LLMs to achieve outstanding and reliable outcomes. * Proficient in Python and able to hack together end-to-end prototypes. * Foundational analytics (able to manipulate data in Python or SQL). * Masters degree in a related field * Previous experience in fine-tuning LLMs is highly desirable. Soft Skills * Attention to detail, and a high level of scrutiny for impactful applications of LLMs. * Curiosity-driven and pragmatic with a focus on delivering results. * A generalist mindset with the ability to dive deep into a wide range of challenges. * Resilience and an ability to grind through complex problems. * Openness to disagreement and commitment to decisions once made. * Strong collaborative skills, with the ability to explain complex insights in an accessible manner to both technical and non-technical audiences * Independence in managing one’s workload and priorities WHAT'S IN IT FOR YOU * The opportunity to shape the foundational software services of a growing company * A role that balances innovation and incremental improvement * A dynamic and collaborative engineering team * Competitive compensation and benefits * A supportive environment that encourages innovation and personal growth WHY YOU SHOULD JOIN US * Opportunity for impact. We’re established enough to ship instead of fighting fires and early enough that your work will have a real impact. * Startup experience. You’ll work closely with our CEO, a 2X Founder/CEO with a background in computer science and product design. * We embrace being fully remote. We schedule meetings sparingly and instead heavily use async comms (Slack, Notion, Loom) ABOUT THE INTERVIEW * You’ll meet the entire team. We think it’s important that you get to meet everyone you’ll be working with. * No bullshit. Ask us anything you like. We’ve never understood why companies pretend they’re something that they’re not in the hiring process - you’re going to find out eventually so we’d rather you know who we are up front so we can both make sure this is a good fit for all involved. * Quick turnaround time. We know you have lots of options so we move fast usually in less than a week from start to finish.