1,338 total jobs
373 new jobs this week
In this role, you will partner with customers to address big data challenges using the Databricks Platform, delivering tailored solutions in data engineering and AI across cloud environments.
Leads recruitment marketing campaigns from planning through optimization, coordinating stakeholders and content while using performance data to improve candidate attraction and conversion.
Write Kannada short-form scripts for Meta ads and other digital platforms, using strong hooks, culturally relevant storytelling, and performance metrics to improve audience engagement and retention.
Own production reliability for a cloud-native platform by managing Azure and Kubernetes infrastructure, responding to incidents, reducing recovery time, and automating operations across distributed systems.
Architect enterprise AI security governance for a banking institution by building policies, control frameworks, and secure MLOps standards that protect AI models, data pipelines, and deployments.
Own and execute SEO campaigns, develop lead-generation marketing strategies, maintain website content, analyze conversion rates and promotions, and use Google Ads to support online campaigns.
Own and drive end-to-end enterprise sales cycles, engaging with CXOs to close complex deals and build a repeatable sales motion.
The Marketing Director will lead the marketing strategy and execution at Portcast, focusing on demand generation, product marketing, and cross-functional collaboration to drive measurable business impact.
As a Staff Applied Scientist, you will design and implement knowledge graphs and reasoning systems to enhance sales execution and drive revenue outcomes.
Design and implement knowledge graphs and reasoning systems, extracting structured knowledge from unstructured data to drive actionable insights and recommendations.
As a Senior Customer Success Architect, you will provide technical guidance and support to customers, ensuring effective data management and integration with Amplitude's analytics platform.
Apply practical engineering expertise to review technical documentation, develop engineering examples, and evaluate AI-generated responses for accuracy, reasoning, and technical rigor.
Apply physics expertise to review scientific content, create technical materials, and evaluate AI-generated responses for accuracy, reasoning, and rigor to improve AI training datasets.
Evaluate and strengthen AI system safety, security, and robustness by designing adversarial tests, uncovering LLM vulnerabilities, building regression frameworks, and translating findings into actionable improvements.
Apply chemistry expertise to review, create, and refine scientific content for AI training, ensuring accurate explanations, experimental documentation, chemical data, and procedures.
Apply computer science expertise to analyze technical problems, create and review documentation and training content, and evaluate AI-generated responses for accuracy, clarity, and sound reasoning.
Develop engine-level systems, modding tools, and rendering pipelines for real-time applications, optimizing graphics performance and collaborating with engineers and technical artists on maintainable C++ solutions.
Contribute medical expertise to AI training by creating and curating original, technically accurate clinical and educational documents, de-identifying sensitive information, and clarifying content for project teams.
Evaluate and solve advanced mathematical problems, review AI-generated reasoning, and create rigorous proofs, explanations, and annotated datasets to improve AI model training and evaluation.
Apply biology expertise to review scientific content, analyze research, and create accurate materials that improve AI systemsโ understanding and reasoning about biological concepts.
Create and submit original, well-structured financial documentsโincluding analyses, models, and reportsโto support AI training, ensuring accuracy, clear visual presentation, appropriate sourcing, and confidentiality.
Build and maintain production-grade AI systems, integrating LLMs into backend services, APIs, orchestration layers, and data pipelines with a focus on reliability, scalability, and performance.
Build and maintain production-grade AI applications, developing Python backend services, integrating LLMs into workflows, and improving orchestration, data pipelines, reliability, and performance.
Edit Hindi short-form and mid-length video ads and social content, shaping engaging stories with platform-specific pacing, visual effects, and sound while using performance insights to improve viewer engagement.
Half stop taking applications within 28 days of being posted, and 1 in 4 within 9 days. Applying in the first week counts.
9 days
1 in 4 closed by then
28 days
Half closed by then
68 days
3 in 4 closed by then
From 437 listings that closed in the last 120 days, at most three per company.
