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.
Entefy
Entefy seeks Machine Learning and AI expert for computer vision role with deep understanding of algorithms and experience in programming languages like Python, C++, Java, and image/video processing tools.
DevRev
Join DevRev's pre-sales team as a Solutions Engineer and design cutting-edge technical solutions for clients. Collaborate with stakeholders, provide technical expertise, and support solution development.
Stripe
Support developers in integrating Stripe services, resolve technical challenges, create documentation, collaborate with engineering teams to improve products, and act as an advocate for developer experience at Stripe.
Stripe
Technical Support Engineer at Stripe: Develop and ship impactful integrations, collaborate with engineers, and create innovative solutions for external developers.
RapidAI
Develop components for the RapidAI platform using React.js, ensuring robustness and maintainability. Collaborate with cross-functional teams to deliver high-quality software solutions that enhance patient care through AI technology.
Planet
Remote Associate Pre-Sales Engineer position at Planet, utilizing geospatial data solutions and expertise in GIS, Python, and cloud platforms.
Workiva
APSE role at Workiva providing technical support to customers through phone, chat, and ticket management
Workiva
Provide expert technical support to Workiva customers via phone, chat, or email; troubleshoot issues, maintain positive customer relationships, and contribute to a positive team culture. Gain experience in database support or network security while advancing your career.
Kayzen
Join Kayzen as a Solution Engineer and collaborate with our team to provide expert guidance on integrating our products into customer systems.
Rackspace
AWS Support Engineer I - Remote - Provide first-level technical support for AWS-based solutions
Welocalize
Freelance AI Response Evaluator - Remote work from Germany, flexible hours, and comprehensive learning support
Rackspace
Design and implement cloud solutions using AWS, automate deployments, mentor team members, and collaborate with stakeholders to ensure optimal cloud infrastructure and customer satisfaction.
Ajax Systems
Join Ajax Systems as a Product Manager to lead technical seminars, develop product strategies, and foster relationships with key partners while working with cutting-edge security technologies.
Gitlab
Support customer GitLab environments, collaborate across teams to improve the product, contribute to documentation and processes, and work in a global, distributed team with flexible benefits.
Gitlab
Support customers by resolving issues in their GitLab environments, collaborate with cross-functional teams, and contribute to improving the product through scripting and documentation.
Voodoo
Join Voodoo's Live Games team as a Level Design QA Engineer and contribute to delivering fun, innovative levels at a fast pace.
Deimos
Lead as a Principal Site Reliability Engineer at Deimos, driving cloud-native solutions and fostering team growth through mentorship and technical leadership.
Lime
Join Lime as a Senior Technical Recruiter to lead IT and engineering team expansion. Drive hiring strategies, champion diversity, and leverage data to build top talent pipelines in a fast-paced environment with competitive compensation and benefits.
Webflow
Join Webflow as a Sr. Technical Recruiter and create equitable hiring processes that prioritize diversity, equity, and inclusion.
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.
