Draftwise

Senior Back End Software Engineer (US)

Senior Back End Software Engineer

Director, Talent Acquisition

Machine Learning Operations Engineer

Senior Front End Software Engineer

Revenue Operations Analyst

Director of Sales - Mid Law

Strategic Business Development

Legal Product Specialist

DraftWise is a leader in AI for the legal industry, developing a secure knowledge platform that empowers lawyers at top firms to draft, negotiate, and review contracts more efficiently. The core product leverages historical legal contracts using data management, machine learning, and language analytics to help legal professionals create better, safer agreements. This role seeks an experienced back-end software engineer to contribute to new features, scale the platform, and enhance performance, with broad ownership and impact on technology, product, and culture.

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About DraftWise</h2>DraftWise is at the forefront of AI in the legal industry, building a secure knowledge platform that helps lawyers at elite law firms draft, negotiate and review contracts faster, and with an edge over their competitors. Our core product unlocks for the first time the years of historic legal contracts that firms have negotiated for their clients. We use the latest in data management, machine learning and language analytics to help lawyers and legal professionals write better, safer contracts. Some reasons to join DraftWise:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Our core offering has achieved product market fit proven by our partnerships with the industries leading Vault 10, Magic Circle and AMLAW 100 firms.</li><li class="leading-relaxed">Our founding team is composed of former Palantir and Google engineers along with an experienced lawyer from a top global law firm.</li><li class="leading-relaxed">We are backed by Y-Combinator and recently raised our $20M in our Series A backed by Index Ventures</li><li class="leading-relaxed">We are a fully remote company, though offer the option to co-work in our major cities in the US and Europe.</li><li class="leading-relaxed">We are working with the latest generative AI technology and developing practical applications of it for the legal industry</li><li class="leading-relaxed">We are solving problems that matter to lawyers, and our users love us for it!</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the role</h2>Skills: Java, Elasticsearch, PostgreSQL, Amazon Web Services (AWS)<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About The Role</h3>We are looking for an experienced back end software engineer to join our team. As an experienced team member, you will have a broad ownership and impact on the technology, product, and our culture. You will work alongside a first-rate engineering team to implement exciting new features, scale the platform, and to make the platform more performant.We have challenges at all levels of the stack, from building beautiful web technology to fine tuning LLMs to optimizing Postgres and Elasticsearch queries to deal with an ever-growing scale.We’d love for you to take ownership of features, write performant, elegant code, and make meaningful architectural decisions.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We Value</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Strong communication skills in a transparent environment.</li><li class="leading-relaxed">Creating an environment of trust through well-intentioned feedback.</li><li class="leading-relaxed">Skills to work independently and make decisions with minimal supervision.</li><li class="leading-relaxed">Interest in working in a lively environment with dynamic objectives.</li><li class="leading-relaxed">Individual autonomy and ownership to build quality products.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We Offer</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Remote-first work environment. (Engineering teams typically span UTC+3 to UTC-5.)</li><li class="leading-relaxed">This role is best suited for someone who can work on East Coast time.</li><li class="leading-relaxed">Competitive salary.</li><li class="leading-relaxed">Equity-based compensation.</li><li class="leading-relaxed">Private medical care.</li><li class="leading-relaxed">New laptop and a work-from-home stipend for necessary accessories.</li><li class="leading-relaxed">Generous PTO / sick leave.</li><li class="leading-relaxed">Opportunities to lead our company as we disrupt the legal world.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About You</h3>We're looking for engineers who have:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Strong overlap with DraftWise’s company values.</li><li class="leading-relaxed">A focus on user impact and passion for shipping high-quality products that delights users.</li><li class="leading-relaxed">Extensive and recent experience in Java.</li><li class="leading-relaxed">5+ years as a professional software engineer.</li></ul>It's also great if you have:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Worked with elements in our tech stack:</li><li class="leading-relaxed">Development: Java 21, jOOQ, Dropwizard, Dagger</li><li class="leading-relaxed">Data: Postgres, Elasticsearch, TensorFlow, Keras</li><li class="leading-relaxed">DevOps: AWS, Docker</li><li class="leading-relaxed">Experience in building, deploying, and maintaining deployment infrastructure.</li><li class="leading-relaxed">Experience building data-intensive applications such as NLP, search and indexing, and data processing, LLMs.</li><li class="leading-relaxed">Interest in being involved in engineering design decisions.</li><li class="leading-relaxed">Interest in the data products space, and a love of building tools that helps enterprise users to do more.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Technology</h2>We have plenty of challenges at all levels of the stack, from the nuts and bolts of designing a processing back-end engine, VM infrastructure and NLP all the way up to building beautiful web technology.If you have the appetite for it, you’ll be able to drive the product direction.Product: React, Typescript, Redux, Postgres, Java, Elasticsearch<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Interview Process</h2>A successful candidate will go through the following process:Step 1: Introductory call where we share more about what we are building, and to hear about what kind of work you are seeking. We may dive a bit into your resume, too. Of course, we want to give you an opportunity to ask questions! This should take 30 minutes.Step 2: Technical interview where we will ask you to do some coding (in Java). The problem will be related to work we have done, so it will give you a taste for our product space. This should take about 1 hour.Step 3: Take home project (~3-4 hours). This involves a more complicated problem, which helps us get a sense of how you approach adding new functionality to a pre-existing code base. Given our remote-first work environment, the project shows us what you can do independently. After you submit your solution, we will have a follow-up call to discuss it and ask about how you went about solving it.We would love for you to meet other members of the team before you make a decision should an offer be rendered.

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Reddit

Senior Machine Learning Engineer, Ads

Fox Factory

Engineering Technician 2

Quality Control Technician

Senior Software Engineer, Ads

Software Engineer, Ads

Machine Learning Engineer, Ads

Join Reddit's Ads team as a Machine Learning Engineer, contributing to the company's business growth. This hands-on role involves the full lifecycle of ML systems, from research and modeling to deployment and optimization in production. Your work will directly impact the delivery of relevant ads and drive value for advertisers across areas like ad ranking, bidding, measurement, and optimization, ensuring a delightful and relevant experience for users and advertisers alike.

Machine Learning Manager - PF&O (Recommendations & Forecasting)

Senior Software Engineer, GraphQL

Senior Software Engineer - Ads Conversion Signals (Signals Quality)

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a href="http://redditinc.com/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">redditinc.com</a>.Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with over 50 million daily active users, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with more than 100 million daily active uniques, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one!<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Team Description</h3>Reddit is poised to rapidly innovate and grow like no other time in its history. We’re currently hiring across multiple teams including: Ads Prediction, App Ads & Conversion Modeling, Ads Measurement Modeling, Ads Targeting & Retrieval, Advertiser Optimization and Ads Marketplace Teams.Ads ML Serving TeamPart of Reddit’s Ads ML Platform, this team builds a highly reliable, scalable, and efficient ML serving stack. They focus on long-term architecture, tight integration with the ads serving stack, CPU/GPU performance optimization, and model velocity tools like observability libraries and quality gating.Attribution & Identity TeamThis team builds attribution systems and identity solutions that help advertisers measure the impact of their campaigns. They create experimentation tools and platforms that improve usability, transparency, and performance insights.Ads Measurement Modeling TeamA horizontal ML team in the Ads Measurement org focused on proving Reddit Ads value while maintaining privacy compliance. Their work includes Modeled Identity, Modeled Conversions, and ATT opt-out utility enhancements.Ads Targeting and Retrieval TeamThis team designs and implements large-scale ML systems to improve targeting products. They work on offline and online retrieval systems to enhance contextual and behavioral targeting.Advertiser Optimization TeamComposed of two horizontal teams, this group focuses on advertiser outcomes. The Recommendations and Forecasting team builds ML-driven tools for advertisers and sales. The Bidding/Pacing team develops algorithms and products like TCPA, TROAS, and performance advertising solutions, while driving innovations in marketplace dynamics.Ads Marketplace Quality TeamThis team optimizes Reddit’s ads marketplace by building algorithms for auction and pricing efficiency. They also work on supply optimization and ad relevance, ensuring ads reach the right users at the right time in the right context.App Ads and Conversion Modeling TeamsFormed in early 2024, these teams focus on app ads modeling, including app install models and deep neural network models for iOS and Android conversions. They work on in-app event optimization and return on ad spend (RoAS) optimization, and are running experiments on top of DNN architectures to improve prediction accuracy.Ads Prediction TeamThis team drives innovation across signals, features, model architecture, and infrastructure to improve marketplace efficiency and revenue. It includes:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Core Ads Ranking (CAR): Builds reusable, scalable features and ranking models that integrate across the ads ecosystem, improving quality and iteration speed.</li><li class="leading-relaxed">Engagement Modeling (EV): Develops click, long-click, and video engagement models for upper- and middle-funnel ad products.</li></ul>Reddit Ads offers the opportunity to work on large-scale systems that directly impact advertisers, users, and revenue. We have openings across multiple teams and are looking for engineers and ML experts at all levels.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Role Description</h3>Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit’s business. In this hands-on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Your work will directly impact how we deliver relevant ads and drive value for our advertisers across areas like ad ranking, bidding, measurement, and optimization.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Responsibilities:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization.</li><li class="leading-relaxed">Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production.</li><li class="leading-relaxed">Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance.</li><li class="leading-relaxed">Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions.</li><li class="leading-relaxed">Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines.</li><li class="leading-relaxed">Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Required Qualifications:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.</li><li class="leading-relaxed">Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices.</li><li class="leading-relaxed">Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms.</li><li class="leading-relaxed">Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.</li><li class="leading-relaxed">Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Bonus Points:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience working in the Ads domain</li><li class="leading-relaxed">Experience or interest in the advertising business and understanding customer needs</li><li class="leading-relaxed">An advanced degree (MS/PhD) in a quantitative field.</li><li class="leading-relaxed">Familiarity with distributed systems and large-scale data processing technologies (e.g., Spark, Kafka).</li></ul>In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews.During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Candidate Privacy Policy for Potential Employees and Contractors</a>.Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.Apply for this job------------------<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">indicates a required field</li></ul>First Name*Last Name*Preferred First NameEmail*Phone*Location (City)*Locate meResume/CV*AttachAttachDropboxGoogle DriveEnter manuallyEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfCover LetterAttachAttachDropboxGoogle DriveEnter manuallyEnter manuallyAccepted file types: pdf, doc, docx, txt, rtf---LinkedIn ProfileHow did you hear about this job?*Are you currently authorized to work in the Canada?*Select...Do you now, or will you in the future, require immigration sponsorship to work at Reddit?*Select...By selecting "I agree," I understand that the information I have provided as part of this job application will be processed in accordance with Reddit's Candidate Privacy Policy. *Select...<a href="https://www.redditinc.com/policies/candidate-privacy-policy" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Reddit's Candidate Privacy Policy</a>Please provide the name of your current (or most recent) company*Are you located in Colorado (US), the United Kingdom, Switzerland, or a country in the European Economic Area?*Select...---<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Reddit Canada Equal Employment Information</h3>Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. To bring community and belonging to everyone in the world, Reddit’s employees must represent communities and redditors on our platform.The Company is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. 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 needsOur vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.We invite you to self-identify across the identities below so we can better understand our talent pools and assess our effectiveness in attracting and recruiting people to Reddit from all backgrounds.Answering these questions will not impact your application, nor will this information be shared with anyone making a hiring decision.What gender identity do you most closely identify with? *Select...Are you a person of transgender experience?*Select...What sexual orientation do you most closely identify with? *Select...---By checking this box, I consent to Reddit collecting, storing, and processing my responses to the demographic data surveys above.*Submit application

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.