Browse
···
Log in / Register

Senior Software Engineer

$160,000-200,000/year

NoGood

New York, NY, USA

Favourites
Share

Description

This Software Engineering position is with NoGood's sister company, Goodie AI. Read on to learn more. About Goodie AI: Goodie AI is the pioneering LLM visibility and AI search optimization platform enabling the world’s top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges. We are looking for an exceptional Senior Software Engineer to join our rapidly growing team. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers, and Machine Learning Engineers to design and build scalable, industry-leading AI platforms. After you apply, check out Goodie AI's website to learn even more! Why join us: Shape the future of AI search and brand discovery—work at the cutting edge of Answer Engine Optimization (AEO). End-to-end ownership—drive scalability, speed, and user experience of our AI-Native platform. Work on high-impact AI applications used by top brands. Well-funded, fast-growing AI startup with a strong product-market fit. Salary: $160K-$200K + Equity (commensurate with experience). Location: NYC-based (In-person). Best-in-class benefits. You'll do: Lead the development of our AI platform, focusing on scalability, speed, and user experience. Architect and develop front-end solutions using React to create smooth, engaging, and intentional user experiences. Implement back-end infrastructure with a focus on speed, scalability, security, and seamless integration with various platforms via robust API connections. Utilize DevOps practices to manage the deployment pipeline, ensuring efficient, reliable, and secure software delivery. Collaborate with UX/UI Designers to translate web designs into functional, intuitive user interfaces. Work closely with Data Scientists to ensure accurate data collection, analysis, and application within the platform. Participate in the entire application lifecycle, from coding to debugging and testing, with an emphasis on quality and performance. Maintain and optimize the performance of existing applications. Stay up-to-date with emerging technologies and explore potential integrations to enhance our operations. Take full ownership of the technical delivery of projects from planning through deployment. Translate business requirements into technical specifications and ensure alignment across engineering and product teams. Develop project timelines, allocate resources, and monitor progress to ensure timely delivery of features and milestones. Anticipate risks and roadblocks, proactively manage dependencies, and resolve issues to keep projects on track. Ensure quality assurance, performance, and scalability standards are met throughout the development lifecycle. You have: 5+ years of full-stack development experience building high-usage B2B applications. Frontend expertise in React, TypeScript, and Next.js, with a focus on responsive, high-performance interfaces. Experience with server-side languages such as Python, Node.js, or Java. Strong understanding of DevOps practices, including CI/CD, containerization (Docker), and cloud infrastructure (AWS, GCP, or Azure). Experience with database management systems (MySQL, PostgreSQL, MongoDB). Solid knowledge of RESTful APIs, API integration, and data exchange formats (JSON, XML). Familiarity with version control (Git), automated testing, and software development best practices. Bonus: Experience with AI search, vector databases, LLM APIs, embeddings, or retrieval-augmented generation (RAG). Startup-ready: thrives in fast-paced, ambiguous environments, loves shipping quickly. Passion for ad tech, AI, and building AI-native engineering teams. BSc in Computer Science, Engineering, or a relevant field. What We Offer: Benefits & Perks of Becoming a Goodie: Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities Health First: Premium Medical, Dental & Vision Coverage Flex Work Environment: hybrid at HQ and remote globally Set Up Shop: Home Office Stipend Recharge Anytime: Unlimited PTO Plan Family First: Paid Parental Leave Plan Secure Your Future: 401(k) Plan with Employer Matching Level Up: Mentorship & Career Growth Support Always Be Learning: Access to Top-tier Resources & Industry Experts Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite) Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours Grow With Us: Endless Opportunities to Lead & Succeed Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $160,000 - $200,000, base pay plus bonus. At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization.  BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Source:  workable View original post

Location
New York, NY, USA
Show map

workable

You may also like

Workable
Machine Learning Researcher / Engineer (Foundational Models)
About Pathway Pathway is building LiveAI™ systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think. The team is made up of AI luminaries. Pathway's CTO, Jan Chorowski, co-authored papers with Geoff Hinton and Yoshua Bengio and was one of the first people to apply attention to speech. Our CSO, Adrian Kosowski, received his PhD in Theoretical Computer Science at the age of 20 and made significant contributions across numerous scientific fields, including AI and quantum information. He also served as a professor and a coach for competitive programmers at Ecole Polytechnique. The team also includes numerous world's top scientists and competitive programmers, alongside seasoned Silicon Valley executives. Pathway has strong investor backing. To date, we have raised over $15M; our latest reported round was our seed. Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Requirements Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Benefits Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled – please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.
Palo Alto, CA, USA
$100,000/year
Workable
Freelance Software Developer (TypeScript) - Quality Assurance (AI Trainer)
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Code generation and code review Prompt evaluation and complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Following project-specific rubrics and requirements Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Bachelor's in Software Development, Computer Science, or other related fields.  You have at least 3 years of professional experience with with testing frameworks/automation tools (Playwright, Cypress, Jest) in TypeScript environments. Experience with code review, quality analysis, and identifying/fixing code smells and type issues⁠. Familiar with test integration in CI/CD environments. Experience using, integrating, or tutoring others in AI/ML or LLM-powered testing/coding solutions. Strong documentation and bug-tracking skills. Hackathon or competitive coding experience is a plus. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.
Colorado, USA
$50
Craigslist
Door Installer (Germantown)
Door Installer’s Needed (Exterior, Patio, Interior, Barn, Storm, And Security Doors) RFI facilitates over 400,000 installations annually across the country. With a network of over 1,500 independent contractors, we provide installation services for over 20 different home improvement products including doors, windows, siding, kitchen, bath, closets, and more. Looking to expand your existing business OR get a foot in the door as a start-up? ✓ RFI offers unlimited opportunities and growth potential. Looking to supplement your current revenue? ✓ RFI provides you with additional revenue while you continue running your existing business ✓ RFI offers supplemental income for experienced contractors looking to perform Storm/Security door measures and installations as well! This is a great way to supplement your income while working alone! Tired of chasing your money? ✓ RFI offers consistent pay. We direct deposit every two weeks upon completion of work. Tired of investing in marketing and advertising? ✓ With RFI there is no marketing necessary. We are partnered with national retailers who invest millions in marketing and advertising. Leads are provided to you free of charge. Are you wasting time performing FREE in-home estimates that do not convert to actual work? ✓ No cold calls, no canvasing, no sales! Our customers come to our retailers because they are ready to buy. You get the measurements; they close the sale. We pay for measurements! Requirements • Must be able to pass a detailed background investigation. • Minimum of 5 years' experience installing doors and/or trim carpentry is preferred. • Vehicle, trailer, or some way to transport products to job sites. • Must provide own tools- IE: trim carpentry/door installation tools. • Access to a smart phone and/or tablet, as well as a computer with an internet connection. • EPA or State RRP Certified (Lead Safe Work Practices). We can assist in obtaining certification if necessary. • Licensed and Insured (according to local/state requirements)
11427 Brundidge Terrace, Germantown, MD 20876, USA
Negotiable Salary
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.