Centralize new sources of data to our analytical space for use in data science, machine learning, and both your and other software engineering teams through the creation and enhancement of data products.
Create backend and frontend for existing and new projects and products in Python and React focused on marketing automation and enablement.
Incorporate and extend AI and machine learning tools for use in internal tools focused on marketing automation and enablement.
Warner Music Group is a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members that turns dreams into stardom and audiences into fans. They are guided by three core values that underpin everything they do across all their diverse businesses.
Collaborate with product and engineering leadership to define product architecture and implement secure, reliable, scalable software products
Collaborate with internal and client stakeholders to translate business problems into technical solutions
Mentor junior software engineers on best practices for building scalable cloud applications
E Source helps utilities navigate the complexities of a rapidly changing landscape. They are a research, data/analytics, and technology-focused professional services firm with 450+ employees across the US and Canada.
Design and implement prompts for data labeling and localization processes within software applications.
Analyze model performance using key performance indicators (KPIs) and metrics, ensuring that AI models meet customer acceptance criteria and deliver high-quality outputs.
Create guidelines and training materials for prompt usage in data labeling and localization projects.
Innodata is a global data engineering company enabling the responsible advancement of artificial intelligence. They have a 36+ year legacy delivering the highest quality data and outstanding outcomes for their customers.
Develop and iterate on fraud prediction models using a mix of approaches for tabular and behavioral data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They appear to be a remote-first company.
Drive team impact by fostering high technical productivity and reliability.
Cultivate a healthy, results-driven, and collaborative team culture.
Partner with Product Managers and Designers to shape our technical roadmap.
Counterpart Health is transforming healthcare and improving patient care with Counterpart Assistant, an innovative primary care tool. They are a subsidiary of Clover Health with an exceptional team of value-based care and technology experts.
Own software architecture and delivery: design, deploy, and operate systems at scale
Design and evolve our AI systems, including: prompting and orchestration logic context and retrieval systems (search, integrations, memory) evaluation infrastructure (LLM-as-judge, regression testing) expert feedback systems (building eval sets from their natural workflow)
Hire, manage, and grow the engineering team (currently 3 FTEs)
Inhouse is the #1 AI lawyer for small to midsize businesses. They combine AI, their own law firm, and an expert feedback loop to deliver fast, compliant, high-quality legal work at a fraction of the cost and turnaround time of traditional firms.
Work closely with business and understand the requirement and conduct feasibility analysis of available solution approaches
Work with business analysts, developers, and stakeholders to implement, integrate and maintain the Salesforce.com CRM solution including architecture, design, system testing, and user acceptance testing.
Perform code reviews and ensure team follows best practices and SFDC Coding Standards.
They are a Digital Product Engineering company that is scaling in a big way! They build products, services, and experiences that inspire, excite, and delight. The company has 17000 plus experts across 39 countries, and their work culture is dynamic and non-hierarchical.
Build and scale Voice AI infrastructure: LLM-powered voice bots, real-time call transcription, and AI-generated call summaries using LiveKit, OpenAI, Deepgram, and Cartesia
Develop custom Twilio Flex plugins (React/Node.js) that sales and CS reps use every day: autodialers, call controls, admin dashboards, CRM integrations
Build backend services and APIs using Node.js, AWS Lambda, and DynamoDB that handle call routing, task management, and Salesforce reporting
Yelp's telephony team is building and scaling the telecom platform that nearly all of Yelp's revenue flows through. They are a small team, and the tools they build drive customer acquisition, retention, and revenue recovery across multiple business organizations.
Manage a team of engineers focused on building Machine Learning models.
Coach and mentor engineers of all experience levels.
Foster and grow a fun, diverse and inclusive culture that reflects Yelp’s values.
Yelp's engineering culture is cooperative and values individual authenticity, encouraging creative solutions. They aim to help users, grow as engineers, and have fun while collaborating.
Architect and build automation pipelines that replace high-volume, repeatable content tasks.
Design and develop LLM-powered tooling that enables agentic content creation workflows.
Build and maintain integrations across ServiceNow’s content platforms, knowledge management systems, and AI services.
ServiceNow started in 2004 and stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500(R). Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations.