Research and develop Machine Learning models and optimize them for scaled production usage.
Work with colleagues to explore ongoing product issues and recommend innovative ML/AI based solutions.
Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices.
Turnitin is a recognized innovator in the global education space, partnering with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. They are a global organization with team members in over 35 countries, offering a remote-first culture which empowers team members to work with purpose and accountability.
Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks.
Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks.
Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones.
Loopio provides a workplace that recognizes the advantages of working flexibly, operating as a remote-first company. They have established hub regions around the world and foster a supportive culture with opportunities for connection.
Design, build, and maintain machine learning model productionization infrastructure.
Streamline model training, validation, and deployment in collaboration with the data science team.
Implement robust monitoring and alerting for model performance, drift, and data quality.
The Athletic delivers in-depth coverage of sports, teams, and athletes. Their newsroom of 500+ full-time staff covers hundreds of professional and college teams across North American markets and football clubs.
Define requirements with stakeholders to solve problems.
Develop machine learning models for various data types.
Automate complex data engineering and analytic pipelines.
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Lead our AI & Data department with autonomy as a proactive tech enthusiast.
Develop, train, validate, optimize, and maintain Machine Learning models.
Extract, clean, validate large datasets, and interpret data for business opportunities.
Everfield buys, builds, and grows European vertical market and specialist software companies, providing them with the tools they need to move to the next level. Companies in the Everfield ecosystem follow a decentralised model, maintaining their team, brand, and offices, while focusing on what they do best - building products and supporting customers.
Designing, deploying, and optimizing data-driven machine learning solutions on AWS.
Creating secure and scalable ML systems, enabling effective data management and model deployment.
Leading the enhancement of best practices within the data and ML lifecycle, making a substantial impact across projects and teams.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Develop and optimize AI-driven solutions for our end-to-end platform.
Integrate AI capabilities into production systems to enhance functionality and performance.
Fine-tune and optimize existing solutions for specific product requirements, ensuring efficiency and reliability.
Smarter Technologies is an automation and insight platform for healthcare efficiency, providing an AI-powered revenue cycle management (RCM) platform. They combine proprietary agentic agents, human-in-the-loop AI agents, clinical ontology, and global financial and administrative services to empower healthcare organizations.
Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.
Bugcrowd empowers organizations to take back control and stay ahead of threat actors. With a network of hackers, Bugcrowd brings diverse expertise to uncover hidden weaknesses and adapts swiftly to evolving threats.
Build and optimize data pipelines and backend services to process device and behavioral data in real time.
Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
Turn raw data into production-ready features that feed our fraud detection systems.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Over 300 banks, retailers, and fintechs worldwide use Sardine; they have a remote-first work culture, valuing performance over hours and hiring self-motivated individuals.
Work in the Data Science team developing advanced AI solutions to drive marketplace growth and efficiency.
Build models, test them, and deploy them to production to measure the true impact of your models.
Translate business requirements into achievable projects and collaborate with other teams.
OLX makes it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. They serve millions of people around the world every month through well-loved consumer brands including OLX, Otodom, AutoTrader, Property24.
Define and evolve AI and data science technical strategy.
Architect and build production AI systems including LLM applications.
Partner with product management to translate business requirements.
Wiser Solutions offers a suite of in-store and eCommerce intelligence and execution tools. They aim to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online.
Lead the research, design, and implementation of end-to-end machine learning solutions.
Own the evaluation and prompt engineering strategy for Large Language Models (LLMs).
Act as a strategic partner to Product and Engineering leaders.
OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. OfferUp was founded in 2011 and based in Bellevue, WA, and serves local markets nationwide.
Design and build advanced machine learning models for generative tasks.
Optimize models for performance enhancements and scalability.
Preprocess and manage large datasets for model training.
Jobgether is a platform that connects job seekers with companies. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Collaborate with engineers, data scientists, and business analysts to understand requirements, refine models, and integrate LLMs into AI solutions
Development and implementation of Deep learning algorithms for AI solutions
Preprocess raw data, including text normalization, tokenization, and other techniques, to make it suitable for use with NLP models
Exadel is an AI-first global tech company with 25+ years of engineering leadership. They have 2,000+ team members, and 500+ active projects powering Fortune 500 clients valuing open dialogue, creative freedom, and mentorship.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Develop machine learning models using natural language process for automated processes.
Build and train models, deploy model pipelines, and implement algorithms to extract insights from unstructured data.
Troubleshoot and provide technical solutions to resolve issues, contributing to scalable, reliable services.
Authenticx's mission is to help humans understand humans through their software platform, which sets a new standard for humanizing customer interaction data at scale. They channel their passion and talent into helping healthcare leaders listen to their conversational data, delivering value to the enterprise.
Develop, implement, and validate machine learning and agentic flows.
Drive innovation in modeling approaches while balancing accuracy, efficiency, and interpretability.
Lead the design of benchmarking frameworks, evaluation tools, and metrics.
Federato is on a mission to defend the right to efficient, equitable insurance for all. They are AI-native platform that spans the full policy lifecycle. They move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning.