Reka
Join Reka as a Data Engineer to build scalable data pipelines, collaborate with researchers and engineers on cutting-edge AI projects, and contribute to the development of multimodal foundation models using tools like Python, Hadoop, Spark, AWS, Azure, Google Cloud, Docker, and Kubernetes. Enjoy benefits including 4 weeks paid leave, visa support, and comprehensive healthcare.
Testlio
Senior Generative AI Engineer at Testlio: lead innovative solutions, collaborate globally, and drive business outcomes.
Rackspace
Provide technical leadership and support for Rackspace's cloud infrastructure, resolving customer issues, leading projects, and improving processes to enhance the customer experience.
Quora
Join Quora as an iOS Engineer to build the future of AI and mobile platforms, collaborate with a talented team, and create innovative solutions that make the world programmable.
Kueski
Desarrolla aplicaciones móviles fiables con Kueski, lidera equipos y promueve mejores prácticas en arquitectura y desarrollo de software.
CoinsPaid
Senior FullStack QA Engineer at CoinsPaid: Join a remote-first team working on innovative crypto payment solutions
Binance
Senior QA Engineer at Binance: Collaborate on software development lifecycle, testing environments, and complex projects.
MyFitnessPal
Lead the technical implementation of AI products at MyFitnessPal, mentor teams, and design scalable ML systems to enhance user engagement and improve product quality using recommendation systems, search features, NLP, LLMs, and deep learning.
Figma
Join Figma's Mobile Platform team as an iOS engineer to build foundational systems that enhance the quality and velocity of Figma's mobile products. Collaborate with cross-functional teams, drive standards, mentor peers, and tackle challenging technical problems.
OpenX
Join OpenX as a Staff Software Engineer (Python) and contribute to high-scale ad marketplaces. Collaborate with a full-stack team and shape the future of digital advertising.
neptune.ai
Staff Python Software Engineer - Remote
Hivebrite
Senior Python Engineer at Hivebrite: Develop data processing services using Python, improve matching algorithms & systems, and optimize real-time recommendations.
RapidAI
Staff Software Engineer Backend at RapidAI: Design complex systems & develop impactful tech solutions for life-threatening vascular conditions
Vidmob
As a Staff Software Engineer at Vidmob, you will work on developing scalable applications, integrating AI tools, and leading technical teams to enhance creative data solutions for enterprise clients.
ZOE
Join ZOE's Activation Team as a Lead Back-end Engineer and shape the future of our app experiences.
Binance
Infrastructure Security Engineer (DevSecOps) at Binance: Implement new security measures, generate primitives for secure infrastructure, and utilize log ingestion platforms for security analytics.
Twilio
As a Principal Machine Learning Engineer at Twilio, you will leverage AI and machine learning to drive innovation and efficiency across our services. Collaborate with cross-functional teams to develop cutting-edge solutions using Python, SQL, R, AWS, and other tools.
Lattice
Remote Staff Product Security Engineer role at Lattice, requiring secure coding practices, vulnerability detection, and collaboration with product teams.
Binance
Senior QA Engineer - Blockchain - Automate backend testing, collaborate with developers & product managers, and deliver high-quality products for Binance's blockchain ecosystem.
ConnectWise
Senior Software Engineer I: Develop high-quality software in compliance with industry standards, collaborate with cross-functional teams, and debug production issues.
Reka
We are seeking highly skilled Data Engineers to join our team. In this role, you will take ownership of the entire data lifecycle, collaborating closely with researchers and engineers to ensure that data is reliable, accessible, and optimized for model training and evaluation. Additionally, you will have the opportunity to explore innovative data augmentation techniques and gain firsthand experience in how data is used to develop cutting-edge multimodal foundation models. Ideal Experience: Proven experience in data engineering with a strong background in building and managing scalable data pipelines. Proficiency in Python, with the ability to work with big data technologies such as Hadoop or Spark. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data-related services (e.g., S3, BigQuery, Redshift). Strong understanding of data storage, processing, and retrieval methods, with experience in both structured and unstructured data. Familiarity with machine learning workflows, particularly in the context of model training and evaluation. Preferred: experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes). Strong problem-solving skills and a proactive approach to exploring and implementing new technologies and methodologies. Why Reka? Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade. Opportunity to work with a collaborative mission-driven team on cutting-edge AI technology. Open and inclusive work environment. 4 weeks paid leave. Visa support (such as H1B and OPT transfer for US Employees). Healthcare benefits, including vision and dental.
We are seeking highly skilled Data Engineers to join our team. In this role, you will take ownership of the entire data lifecycle, collaborating closely with researchers and engineers to ensure that data is reliable, accessible, and optimized for model training and evaluation. Additionally, you will have the opportunity to explore innovative data augmentation techniques and gain firsthand experience in how data is used to develop cutting-edge multimodal foundation models.
Ideal Experience:
Proven experience in data engineering with a strong background in building and managing scalable data pipelines.
Proficiency in Python, with the ability to work with big data technologies such as Hadoop, or Spark.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data-related services (e.g., S3, BigQuery, Redshift).
Strong understanding of data storage, processing, and retrieval methods, with experience in both structured and unstructured data.
Familiarity with machine learning workflows, particularly in the context of model training and evaluation.
Preferred: experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
Strong problem-solving skills and a proactive approach to exploring and implementing new technologies and methodologies.
Why Reka?
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Opportunity to work with a collaborative mission-driven team on cutting-edge AI technology.
Open and inclusive work environment.
4 weeks paid leave.
Visa support (such as H1B and OPT transfer for US Employees).
Healthcare benefits, including vision and dental.
