Design machine learning solutions using cloud-native technologies.
Collaborate with stakeholders to gather requirements for ML solutions.
Architect ML solutions on cloud platforms with a focus on MLOps.
Jobgether connects job seekers with partner companies using an AI-powered matching process. They ensure applications are reviewed quickly and fairly against core requirements, identifying top candidates for hiring companies.
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.
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.
Lead data science initiatives by analyzing complex datasets to uncover insights.
Design, develop, and deploy predictive and prescriptive models using machine learning.
Collaborate with business stakeholders to define project objectives and communicate results effectively.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates to share them directly with the hiring company.
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.
Train, evaluate, and optimize machine learning models for high performance.
Contribute to R&D in object detection and multi-object tracking for remote sensing.
Design and deliver production-grade, maintainable code while managing multi-phase development.
Clarifai is a leading AI platform specializing in computer vision and generative AI. They empower organizations to transform unstructured data into actionable insights. Their globally distributed team operates across the United States, Canada, Estonia, Argentina, and India and is committed to building a diverse and inclusive team.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, and corporate headquarters in Dublin, Ireland.
Develop machine learning algorithms with huge data sets.
Improve performances of existing algorithms.
Discover new data sources and create new input features for ML models.
Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
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.
Conduct cutting-edge machine learning research, building and training large language models.
Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.
Disseminate your research results through the production of publications, datasets, and code.
Cohere is dedicated to scaling intelligence to serve humanity by training and deploying frontier models for developers and enterprises, building AI systems for content generation, semantic search, and more! They foster a culture of hard work, valuing diverse perspectives and contributions to model capabilities and customer value.
Design, implement, and maintain high-performance ML training and inference platforms.
Ship tools that allow any ML engineer to deploy a model in minutes, not days.
Improve scalability, reliability, and cost efficiency of model training and serving systems.
Speechify's mission is to make sure that reading is never a barrier to learning. With nearly 200 people around the globe working in a 100% distributed setting, Speechify's team includes frontend and backend engineers, AI research scientists, and others.
Design, adapt, and optimize deep learning architectures for scientific domains and data modalities.
Own and deliver on complex ML projects, including experiment design, implementation, and evaluation.
Write clean, well-tested code in PyTorch and NumPy enabling a high experimentation rate.
Matterworks builds AI tools to extract insights from biological data and unlock opportunities in therapeutic discovery, development, and manufacturing. They are building large-scale deep learning models of biological data to predict the phenotype and behavior of biological systems.
Lead, mentor, and grow a team of Machine Learning engineers and scientists
Drive execution of ML initiatives across Document Generation, Voice Agents, and Knowledge Base systems
Partner closely with Product and Engineering to define scope, priorities, and delivery plans
EvenUp aims to close the justice gap using technology and AI, empowering personal injury lawyers and victims. They are a fast-growing vertical SaaS company backed by top VCs, seeking talented, driven, and collaborative individuals.
Develop and evaluate AI-based biomarkers using multimodal data.
Design, implement, and improve machine-learning models to predict patient outcomes and treatment response.
Conduct research and experimentation to improve model performance, robustness, generalizability, and interpretability.
Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. They are on a mission to personalize medical decisions for patients and physicians on a global scale and value bringing together individuals from diverse backgrounds.
Own and evolve ML Ops architecture, including CI/CD for models.
Serve as a player-coach, contributing directly to design reviews.
AvaSure is revolutionizing healthcare with cutting-edge virtual care solutions that protect patients and empower clinical teams. We're proud of our collaborative culture where innovation thrives and every team member is valued.
Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. They help their customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Improve our existing machine learning ranking models using your core coding skills and ML knowledge
Identify new opportunities to apply machine learning to different parts of the Quora product
Work with other machine learning engineers to implement algorithms and systems efficiently
Quora's mission is to grow the world's collective intelligence with platforms like Quora and Poe. It is a remote-first company with passionate, collaborative, and high-performing global teams, rooted in transparency, idea-sharing, and experimentation.