Machining Engineer jobs at Pryon

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we're missing is you. You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value. What you'll do Design, build, and deploy machine learning models and systems that operate reliably at scale in production Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings What you have Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar Experience with cloud platforms and containerization technologies Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others Our stack You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core Datastores: Postgres, MemcachedRedis, Elasticsearch Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration Version control: Gitlab AI Tooling: Cursor, Github Copliot, Claude Code Observability: Datadog Perks Equity stake Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely A WFH stipend to support your home office setup Unlimited PTO Up to 16 weeks of fully-paid family leave 401(k) matching program Student loan support resources Health, vision, dental, and life insurance Up to $25k towards family building and reproductive health services Gender-affirming care support program $500 per year for wellness expenses Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical $120 per month to spend on tickets to live events Annual subscription to Spotify, Apple Music, or Amazon music The salary range for this role is $145,000-$200,000 USD. This role is also equity eligible. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here. #LI-Remote

Sartre Group are partnered with one of the top-performing hedge funds of the last two years looking to capitalise on great returns and grow the business. As part of this growth, they are looking to strengthen their internal platform starting with hiring a Principal Engineer into their Profit & Loss systems team. You would be joining this team tasked with serving as the primary point of contact for P&L systems for the wider business, playing an instrumental part in driving strategy for enhancements. You'll work on: Collaborating with the wider business to design and develop a strategic roadmap with regards to P&L systems. Ensuring that platforms are delivering precise capture of positions, valuations and pricing across all asset classes. Deliver actionable insights from system outputs to support business decisions, performance analysis and reporting. Hands-on development of platform enhancements from concept to deployment. They're looking for: 10+ years experience in Software Development within Buy-Side businesses. Deep expertise in P&L systems with proven track record in ownership, governance and strategic improvements. Proficient in Hedge Fund pricing strategies and financial data systems. Thorough understanding of middle and back office operations covering trade settlement, reconciliation, risk, accounting & compliance. Tech stack includes Java & SQL. This is an urgent hire & our client will interview as soon as possible so if you're a strong Profit & Loss systems engineer with experience in Java & SQL, apply now to learn more about the role, business and team.

Sartre Group are partnered with one of the top-performing hedge funds of the last two years looking to capitalise on great returns and grow the business. As part of this growth, they are building a Market Data team from the ground up. You would be joining this team as a Senior Engineer, tasked with creating strong relationships with front office & C-Suite individuals and working with them to build a trading data platform that will have firm wide impact as they plan for building on recent success. You'll work on: Develop systems that ingest and process Bloomberg market data feeds such as BPIPE & Data License. Design scalable solutions for storing, accessing & distributing large volumes of financial data, reliably and efficiently. Build systems from concept to deployment including infrastructure design, backend services and front end interfaces to ensure optimal performance. Collaborate closely with traders and portfolio managers to understand data needs and how it impacts their trade decision making to enhance trading operations. They're looking for: 5+ years experience in software development with strong proficiency Java & OOP (Object-Orientated Programming) In depth understanding of software architecture principals and experience in design - delivery of applications. Hands-on experience managing large-scale data sets, with expertise in storage, retrieval, and processing methodologies. Proficiency in a variety of database systems & well-versed in data modelling best practices. Techstack of Java, OOP, SQL, Apache Kafka, Bloomberg. This is an urgent hire & our client will interview as soon as possible so if you're a strong Java engineer with experience in market data, apply now to learn more about the role, business and team.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we're missing is you. You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value. What you'll do Design, build, and deploy machine learning models and systems that operate reliably at scale in production Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings What you have Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar Experience with cloud platforms and containerization technologies Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others Our stack You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core Datastores: Postgres, MemcachedRedis, Elasticsearch Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration Version control: Gitlab AI Tooling: Cursor, Github Copliot, Claude Code Observability: Datadog Perks Equity stake Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely A WFH stipend to support your home office setup Unlimited PTO Up to 16 weeks of fully-paid family leave 401(k) matching program Student loan support resources Health, vision, dental, and life insurance Up to $25k towards family building and reproductive health services Gender-affirming care support program $500 per year for wellness expenses Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical $120 per month to spend on tickets to live events Annual subscription to Spotify, Apple Music, or Amazon music The salary range for this role is $145,000-$200,000 USD. This role is also equity eligible. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here. #LI-Remote

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we're missing is you. We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team. What you'll do * Run a modern, containerized service-oriented architecture using industry-leading software development practices * Ship code to production many times a day * Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business * Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand * Evaluate new technologies and improve our software stack to keep our technological edge * Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek's technical and product standards * Work across team and discipline boundaries to develop the best product in our industry What you have * Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how * Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved * Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard * A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick * Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others Our stack You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. * Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core * Datastores: Postgres, MemcachedRedis, Elasticsearch * Cloud: AWS, k8s, argo * Version control: Gitlab * AI Tooling: Cursor, Github Copliot, Claude Code * Observability: Datadog * Client-side: React+Typescript, Swift, Kotlin Perks * Equity stake * Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely * A WFH stipend to support your home office setup * Unlimited PTO * Up to 16 weeks of fully-paid family leave * 401(k) matching program * Student loan support resources * Health, vision, dental, and life insurance * Up to $25k towards family building and reproductive health services * Gender-affirming care support program * $500 per year for wellness expenses * Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical * $120 per month to spend on tickets to live events * Annual subscription to Spotify, Apple Music, or Amazon music The salary range for this role is $145,000-$200,000 USD. This role is also equity eligible. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other AI techniques to power our products. Our team develops models and platforms that process complex data, extract meaning, and deliver real-time, actionable intelligence at scale. By combining cutting-edge research with scalable engineering, we enable organizations to make data-driven decisions and unlock the full potential of AI in their workflows.A key focus of this role is designing and developing agentic AI workflows that empower users to dynamically interact with machine learning systems, refining and guiding the discovery process in an iterative and interactive manner. You will also design and implement evaluation frameworks to assess model performance, reliability, and usability in real-world applications. Our goal is to provide intelligent, context-aware AI systems-enhanced by RAG techniques-that deliver accurate insights, adapt to user needs, and integrate seamlessly into enterprise applications.As a Machine Learning Engineer, you will be at the forefront of applying modern ML and NLP techniques to solve complex challenges. Your work will focus on building robust, scalable AI solutions, developing RAG-powered systems, evaluating LLMs, and creating real-time, agent-driven workflows that bring AI into the hands of our customers in powerful and intuitive ways. Responsibilities Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems. Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation. Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments. Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation. Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability. Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta's platform. Optimize ML pipelines and data processing systems to operate efficiently at scale. Qualifications We Value Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related field. 5+ years of hands-on experience building and deploying ML models in production. Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spa Cy, NLTK). Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training. Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases. Familiarity with evaluation and benchmarking frameworks for ML/LLM models. Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions. Perks & Benefits: We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees PTO: 3 weeks in Canada Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details. This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from ************** domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to ********************

Entefy's Senior Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the future of communication and digital interaction. Skills and Experience:We're not looking for “good.” Entefy is on a mission for best. The success of this mission depends on its team members to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. Requirements: 5+ years of experience in Machine Learning tools and algorithms specially in unstructured data classification and clustering Proficient knowledge of and experience with AI systems Demonstrable expertise in multiple programming languages such as Python, C++, Java, etc. Masters or PhD in Computer Science, Machine Learning, or related field preferred Proficiency in Machine Learning open source tools Proficiency in Machine Translation Proficiency in Social Text Mining Proficiency in SQL and non-SQL databases Proficiency in Data Visualization tools Visit ************** and **************/blog

Entefy's Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the future of communication and digital interaction. Skills and Experience:We're not looking for “good.” Entefy is on a mission for best. The success of this mission depends on its team members to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. Requirements 5+ years of experience in Machine Learning tools and algorithms specially in unstructured data classification and clustering. Demonstrable expertise in MATLAB. Proficient knowledge of and experience with AI systems. Demonstrable expertise in multiple programming languages such as Python, C++, Java, etc. Fluency in English and, at least, 1 other language. Masters or PhD in Computer Science in Machine Learning or related field preferred. Proficiency in Machine Learning open source tools. Proficiency in Machine Translation. Proficiency in Social Text Mining. Proficiency in SQL and non-SQL database. Proficiency in Data Visualization tools. Visit ************** and **************/blog

Description Function: Engineering, R&D → Data Science / Machine Learning / Operations ResearchAbout PulsePoint:PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous.Sr. Machine Learning Engineer, AdTechAs a member of our Data Science Engineering team, the Sr. Machine Learning Engineer, AdTech will focus on optimizing real-time bidding strategies and auction mechanics to efficiently spend ad budgets and deliver against campaign targets. In addition to the above, you will work with the greater Data Science/Engineering teams on: Analyzing and optimizing real-time bidding strategies and online auction mechanics; Developing new or improving existing models of event predictions; New feature engineering for multiple machine learning models: User embeddings and clustering; fraud detection, etc. Cross-device user identification, cookieless mechanisms development; Mining different data sources; Supporting existing codebase for data integration and production support for our core models. Location: anywhere in the world (End days at around 2pm EST) India, Netherlands, UK: we can hire as FTE Other countries: we can hire as long-term contractor Requirements:5 years minimum of experience in machine learning/data science Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R Advanced knowledge of Python using standard DS packages (numpy/pandas/scikit, etc.); Being able to optimize and speed-up code. 3+ years of RTB Auction or similar online technologies. In addition to the above, you'll need to have strong knowledge in the following areas: Algorithms and Data Structures (e.g., sorting, search tree, binary heap, trie; time & mem complexities of algorithms) Probability and Statistics (e.g., hypothesis testing; Markov process and its stationary distributions, stochastic matrix and its properties; Bayesian inference) ML & DS (e.g., dimensionality reduction, geometry of PCA / SVD and of L1 / L2 regularisation, Decision trees and their ensembles, collaborative filtering, Thompson sampling / MCMC, Neural Networks, etc.) Selection Process:1) Initial Screening Call (30 mins)2) Technical Pre-Screening Call with Principal Data Scientist (60 mins)4) Team Interview (around 4-5 hours total)5) WebMD/IB Sr. Tech Leader (30 mins) WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About the role At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers --- we use data and machine learning to constantly iterate and innovate our product offering to create more value for the ecosystem. Faire is searching for a top-notch staff engineer to lead design and execution as we continue to build our machine learning platform that will power our wholesale marketplace. This role will architect and build scalable, reliable systems to enable seamless software driven machine learning deployment to improve Faire's core metrics. What You'll Do: Design and build highly scalable machine learning systems that the entire company will use. Examples of these include (but are not limited to) “Machine-Learning-as-a-service” Feature store, including batch and real-time feature computation, serving, and monitoring Deep learning infrastructure that powers Faire's language and image models Model prediction services to manage model deployment, inference and monitoring Partner with our internal customers to understand their ML development pain points and craft platform solutions to address them Provide technical mentorship to ML engineers and interns on the team Help shape the long-term strategy and grow the team What it takes: 5+ years experience building production machine learning systems or platform components such as feature store, model training framework, ML prediction service etc Degree in a relevant discipline such as Computer Science, Machine Learning, or another similar field Strong coding skills in Python/Java or equivalent Experience working within common backend system architectures (e.g. microservices) Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation Salary Range San Francisco: the pay range for this role is $224,00 to $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

Job Description#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees. The Impact You'll Make You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly Deploy ML models into production environments and integrate them into the product Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics Collaborate with other engineers and data scientists to create optimal experiences on the platform Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises Build in-person relationships with team members and contribute to Nextdoor's company culture What You'll Bring To The Team B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field 2+ years of industry/academic experience of applying machine learning at scale Experience of building ML models for advertising products Proven engineering skills. Experience of writing and maintaining high-quality production code Ability to work with and analyze large amounts of data Ability to succeed in a dynamic startup environment Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $190,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision - and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid #LI-Remote

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees. The Impact You'll Make You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly Deploy ML models into production environments and integrate them into the product Run and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metrics Collaborate with other engineers and data scientists to create optimal experiences on the platform Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises Build in-person relationships with team members and contribute to Nextdoor's company culture What You'll Bring To The Team B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field 1+ years of industry experience in applying machine learning at scale Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required Experience building ML models for consumer-facing products Proven engineering skills, with experience in writing and maintaining high-quality production code Ability to work with and analyze large amounts of data Ability to succeed in a dynamic startup environment Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $151,000 to $251,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision - and provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here. #LI-Hybrid #LI-Remote

Who We Are At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. The Research & Development Org Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Compensation strategy is broken down into 3 pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale. Learn more about our engineering principles here! The Data Team @ Pave As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real-time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it. What You'll Do: Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole Collaborate with product and engineering teams to identify additional opportunities to leverage ML-driven solutions Help evolve the technical direction of ML initiatives across the company Drive millions of dollars of revenue growth What You'll Bring: 5+ years of experience building and deploying ML models in production environments Strong foundation in machine learning, statistics, and deep learning fundamentals Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar) Experience with large-scale data processing and ML model optimization Experience with MLOps practices and tools (model versioning, monitoring, and deployment) Strong software engineering practices and experience with production systems Expert-level SQL skills with experience writing complex queries and optimizing query performance Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100 Compensation, It's What We Do. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, a flexible PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P3: $195,000 - $215,000 P4: $230,000 - $250,000 Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in-person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships Benefits @ Pave At Pave, career advancement drives everything-roles expand, responsibilities deepen, and compensation rises alongside your professional growth. What we provide Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you Professional Development: Quarterly education stipend to continuously grow Family Support: Robust parental leave to bond with your new family Commuter Assistance: A commuter stipend to help you collaborate in person Vision - Our vision is to unlock a labor market built on trust Mission - Our team's mission is to build confidence in every compensation decision Are you ready to help our customers make smarter, more effective compensation decisions?

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. About the Team: The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI. About the Role: Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles. Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture. Job Responsibilities: Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living. Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness. Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI. Lead the team by performing at a high standard, setting the bar for how we build and operate our systems. Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life. About You: Experience writing production-level C/C++/Rust and Python Proven track record of designing, building, and shipping real-time ML products Strong foundation in signal processing, algorithms, and software engineering principles Bachelor's degree in relevant field or equivalent experience Fast forward to 40:32 to learn more about neural decoding: Expected Compensation: The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees. Base Salary Range:$199,000-$331,000 USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team - a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals - collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience. Job Description and Responsibilities: This is a new and foundational role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer, your responsibilities will encompass: Developing and optimizing embedded software for robotic surgery applications Streamlining our codebase by refining and, when necessary, retiring legacy embedded software Rigorous testing and validation of software systems to meet the highest safety and reliability standards Participating in peer code reviews Writing drivers and applications to extend the functionality of our robotics Specifying hardware and software choices as we develop future hardware platforms Sharing your findings and progress with the team in a collaborative environment Required Qualifications: Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving Proven experience in software development, preferably with exposure to embedded systems Preferred Qualifications: Embedded Software Development: 2+ years of experience with embedded systems Proficient with common communication protocols (SPI, UART, I2C, etc.) Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3 Proficient in at least one embedded language such as C, C++, or Rust Proficient with embedded toolchains and workflow Experience building and bringing-up MCUs or FPGAs Experience with embedded stacks for ARM cores Experience developing on embedded Linux platforms Experience with embedded Linux kernel configuration and device tree setup Experience with kernel driver development Experience with ARM bootloaders Experience coding drivers for actuators and sensors Experience with high speed data acquisition and processing Electrical Engineering: Foundational understanding of MCU architectures and peripheral integration Solid knowledge in electrical engineering and DSP Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment Expected Compensation: The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees. Base Salary Range:$138,000-$300,000 USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded