--- title: 'Machine Learning Engineer ($400k - $600k salary) at Baton Corporation Ltd' canonical: 'https://feeny.ai/job/machine-learning-engineer-400k-600k-salary-baton-corporation-ltd-new-york-6tka2x4btd47' type: 'job' last_seen: '2026-10-19' --- # Machine Learning Engineer ($400k - $600k salary) at Baton Corporation Ltd - **Company:** Baton Corporation Ltd - **Location:** New York, NY - **Compensation:** $400k–$600k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-06 - **Last confirmed live:** 2026-10-19 - **Apply:** https://jobs.ashbyhq.com/batoncorporation/ef5dba80-b476-4a1d-8da3-5d6377ccd1cc ## Job description The Company Baton Corporation is the development company that builds and operates the entire technology stack behind [pump.fun](http://pump.fun), the largest memecoin launchpad in production today. The systems are low latency, high throughput, live under constant load, and break if you get them wrong. ## What You’ll Do As a Machine Learning Engineer, you’ll work alongside engineers and product teams to build algorithms that power personalisation, recommendations, search and real-time decision-making. Your primary focus will be recommendation systems, with opportunities to apply machine learning to fraud detection and content moderation. You’ll take projects from initial problem definition through to deployment and iteration, owning the models, data pipelines and supporting infrastructure needed to deliver results. - Design, develop and deploy recommendation models that improve discovery, personalisation, engagement and retention. - Build scalable data pipelines and use large datasets to develop features, train models and inform product development. - Develop and optimise machine learning infrastructure, ensuring training and inference systems are scalable, efficient and reliable in production. - Work closely with product teams to integrate models into the platform, supporting low-latency inference and real-time data processing. - Design experiments and combine offline evaluation with A/B testing to measure impact and guide improvements. - Experiment with techniques across deep learning, natural language processing and reinforcement learning where they can solve meaningful product problems. - Monitor, optimise and iterate on deployed models as user behaviour, data and product needs evolve. - Develop models for fraud detection, abuse prevention and content moderation to improve platform quality and user experience. - Collaborate with engineers and data scientists to solve challenges involving high-volume, on-chain and user activity data. - Identify useful developments in ML research and turn them into practical improvements. ## Who You Are - An experienced Machine Learning Engineer with a strong foundation in algorithms, data structures and statistical modelling. - Experienced in building and deploying recommendation systems in production, with measurable improvements to user experience or business outcomes. This is our highest-priority area of experience. - Familiar with retrieval, ranking and personalisation techniques, including embeddings, candidate generation and challenges such as cold starts and sparse data. - Proficient in Python and frameworks such as TensorFlow or PyTorch, with strong software engineering skills and hands-on experience deploying models. - Skilled in building and maintaining ML infrastructure, including data pipelines, model deployment, monitoring and systems that scale to large datasets. - Comfortable working across the entire ML lifecycle, from research and experimentation to deployment and maintenance. - Experienced working in startups, delivering at a high pace through ambiguity, shifting priorities and limited resources. - Hands-on and resourceful, willing to build the models, pipelines and infrastructure yourself to get a solution into production. - High-agency and ownership-driven, capable of identifying problems, making decisions and leading projects end to end with minimal guidance. - Highly collaborative, with the ability to communicate technical concepts clearly to engineers, product teams and non-technical stakeholders. - Experience with production fraud detection, abuse prevention or content moderation systems will be highly advantageous. - An interest in blockchain, crypto and SocialFi technologies is a plus. What it's like to work here - We work in person - Hours can be long and unconventional - The pace is intense - Expectations are high, and impact is immediate - Working at Baton is not for everyone Why Join Us? - Unmatched ownership and autonomy - Exposure to systems operating at the edge of crypto scale - The ability to ship fast and see real-world impact immediately If you’re motivated by responsibility, speed, and building products used by massive audiences, you’ll feel at home here. ## About Baton Corporation Ltd ## Company Overview - **One-liner**: Baton Corporation is the development company that builds and maintains pump.fun, the dominant memecoin launchpad on Solana, processing over $300M in daily trading volume. - **Entity Type**: Private (profit-generating, no disclosed funding rounds) - **Headquarters**: Mildenhall, Bury St. Edmunds, England, United Kingdom - **Founded**: 20 March 2023 - **Founders**: Alon Cohen (CEO), Noah Tweedale (CTO), Dylan Kerler (COO) ## Core Business - **Primary industry**: Blockchain infrastructure / cryptocurrency platforms - **Target customers**: B2C – creators and traders of memecoins on Solana; also serves as a platform for third-party token launches - **Mission or purpose**: To operate the dominant on-chain launchpad with extreme scale, speed, and data-driven product development ## Products & Services - **pump.fun** – A memecoin launchpad and trading platform on Solana. Allows users to create and trade tokens with low friction. Processes $300M+ daily volume and generated $500M+ profit in 2025. - **Blockchain platform development** – Baton develops and maintains blockchain platforms on behalf of third parties (as stated on their site). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: $500M+ profit in 2025 (from pump.fun operations) with fewer than 100 employees - **Notable Investors/Partners**: No external investors disclosed; partners likely include Solana ecosystem projects and market makers - **Growth Signals**: 27 employees on LinkedIn (up 3.3% monthly) with 12 open positions; hires from Meta, Vyper (acquired by pump.fun), Whatnot, and other tech companies; expanding engineering team aggressively ## Competitive Advantages - **Dominant market position**: pump.fun is the leading memecoin launchpad on Solana by volume and profitability. - **Lean, high-velocity team**: Fewer than 100 people operate a platform generating hundreds of millions in profit, shipping to production daily. - **Technical moat**: Expertise in Solana programs, high-performance distributed systems, and recommendation systems at scale. - **Data-driven culture**: Systematic experimentation and the scientific method guide product decisions. ## Strategic Focus - Continue scaling pump.fun’s infrastructure to handle growing volume and user base. - Expand engineering team across backend, frontend, mobile, Solana, and reinforcement learning roles. - Maintain low bureaucracy and high ownership to keep shipping speed unmatched. ## Why Work Here - **Culture**: Extremely high ownership, end-to-end feature ownership, fast-paced, intense, and in-person (UK office). Not for everyone – long and unconventional hours expected. - **Remote/Hybrid policy**: Fully in-person; no remote option indicated. - **Compensation**: Competitive salaries ranging from $250K (Junior) to $1.5M (Senior Staff) per year. - **Engineering culture**: Data-driven, daily production deploys, low meetings, high impact. Work on bleeding-edge Solana and distributed systems problems. - **Notable perks**: Unmatched autonomy, exposure to systems operating at crypto scale, immediate real-world impact. ## Sources 1. [batoncorporation.com](https://batoncorporation.com/) 2. [jobs.ashbyhq.com/batoncorporation](https://jobs.ashbyhq.com/batoncorporation) 3. [LinkedIn – Baton Corporation](https://uk.linkedin.com/company/baton-corporation1) 4. [Companies House – BATON CORPORATION LTD](https://find-and-update.company-information.service.gov.uk/company/14743013) 5. [Endole Insight – Baton Corporation Ltd](https://open.endole.co.uk/insight/company/14743013-baton-corporation-ltd) ## Other roles at Baton Corporation Ltd - [Social Media & Content Lead](https://feeny.ai/job/social-media-content-lead-baton-corporation-ltd-new-york-mq0gty4ae9p6) — New York, NY - [Staff Data Scientist - Growth & Marketing ($400k - $500k)](https://feeny.ai/job/staff-data-scientist-growth-marketing-400k-500k-baton-corporation-ltd-new-york-4hkyysptqzec) — New York, NY - [Product Designer ($300k - $500k)](https://feeny.ai/job/product-designer-300k-500k-baton-corporation-ltd-new-york-sfh2kdfrprjk) — New York, NY - [Legal Associate ($225k - $275k salary + bonus)](https://feeny.ai/job/legal-associate-225k-275k-salary-bonus-baton-corporation-ltd-new-york-k0sgd7s3qzfn) — New York, NY - [Head of Performance Marketing & Acquisition ($400k - $1m salary)](https://feeny.ai/job/head-of-performance-marketing-acquisition-400k-1m-salary-baton-corporation-ltd-kqv7cpnxas0p) — New York, NY - [Senior Staff React Native Engineer ($500k - 1.5m salary)](https://feeny.ai/job/senior-staff-react-native-engineer-500k-1-5m-salary-baton-corporation-ltd-new-t5661q937wzk) — New York, NY - [Senior Staff Full Stack Engineer ($500k - $1.5m salary)](https://feeny.ai/job/senior-staff-full-stack-engineer-500k-1-5m-salary-baton-corporation-ltd-new-york-k8gyjxe7d1nb) — New York, NY - [Staff Frontend Engineer ($400k - $500k salary)](https://feeny.ai/job/staff-frontend-engineer-400k-500k-salary-baton-corporation-ltd-new-york-t6regg32fw62) — New York, NY - [Staff Solana Program Engineer ($300 - $500k salary)](https://feeny.ai/job/staff-solana-program-engineer-300-500k-salary-baton-corporation-ltd-new-york-bg1qrdtshgrq) — New York, NY