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.
TTEC Digital
Oversee database implementations across cloud platforms, contribute to architecture frameworks, manage IP databases, and ensure exceptional customer experiences for TTEC Digital's clients.
TTEC Digital
Principal Database Engineer for TTEC Digital's IP Product Engineering team, overseeing database implementations and contributing to Architecture/Design framework.
TTEC Digital
As a Principal Database Engineer at TTEC Digital, you will lead database implementations, contribute to architecture design, and ensure exceptional customer experiences through innovative solutions. Work with cutting-edge technologies and collaborate with talented teams to deliver impactful results.
G-P
Design and deploy AI solutions using advanced machine learning techniques, including LLMs. Collaborate with teams to ensure business objectives are met while maintaining high-quality ML services.
Brilliant
Backend-leaning software engineer for Growth and Lifecycle domains at Brilliant, with 5+ years of experience in software engineering and AI-interoperable systems.
Kalepa
Join our team as a Core Engineer to work on cutting-edge technologies like NLP and machine learning. Collaborate with a global team of engineers in full-stack, data, ML, and DevOps roles. Enjoy competitive salary, equity options, excellent benefits, and other perks.
Superside
Lead Backend Engineer for cutting-edge tech in creative industry
Red Canary
Principal Detection Engineer at Red Canary: Improve threat reporting and response with expertise in endpoint detection and automation.
Gitlab
Provide professional services including installation, migration, training, and advisory support using IaC tools like Terraform and Ansible. Collaborate with customers and internal teams to ensure customer success and enhance GitLab's offerings.
Cyberhaven
Join Cyberhaven as a Professional Services Engineer and help clients integrate our data security solutions, troubleshoot technical challenges, and deliver high-quality services while staying updated on industry trends.
Reka
Unreal Engine 5 procedural generation tool developer for video AI training
Goodnotes
Lead engineer at Goodnotes: build new products, partner with educators, and shape tech roadmaps.
Goodnotes
Lead engineering efforts at Goodnotes, building scalable solutions with modern tech stacks, and drive user growth and engagement.
Goodnotes
Lead engineer at Goodnotes, build new products from scratch with modern tech stacks, flexible remote work options, and meaningful equity.
Goodnotes
Lead engineer role at Goodnotes, building new products with modern tech stacks, flexible remote work, and opportunities for growth.
Inworld AI
Manage full-cycle recruitment processes, source top talent, develop efficient hiring strategies, and use data to drive recruitment decisions at Inworld as a Technical Recruiter (Contractor).
Makersite GmbH
Join Makersite as a QA Engineer to drive quality assurance in our B2B SaaS platform for sustainable product development. Utilize your expertise in automation testing, Python, Cypress, and TypeScript to ensure high-quality software solutions.
Vonage
Release Train Engineer (RTE) with SAFe Certified status, leading Agile transformations and optimizing team performance using Jira.
Apollo.io
Join Apollo.io as a Principal GTM Recruiter and lead the end-to-end recruiting process for Sales, Support, and Success teams. Drive talent acquisition strategy with data-driven insights and collaborate with cross-functional teams.
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.
