Senior AI Platform Engineer

Owner of the company data platform: AWS data lake (S3/Athena/Glue), dbt transformations, integrations from SaaS systems (Stripe, Auth0, HubSpot, ERP), Postgres serving layer and Kubernetes-based infrastructure. Responsibilities include building and operating ingestion and transformation pipelines for business and research data (audio, video, image, 3D), ensuring data quality, lineage, PII tiering, orchestration (EKS, Helm, Terraform, CI/CD), and participating in on-call rotation. Role requires 6+ years building and running production data platforms, expert SQL and Python, warehouse and lake experience (Iceberg/Delta, Athena/Trino, Snowflake/BigQuery), and production orchestration/distributed processing experience (dbt/Airflow/Argo, Spark or equivalent).

Salesforce is hiring a Summer 2027 Forward Deployed Engineer intern for a 12-week remote program supporting Global Public Sector customers. Responsibilities include shadowing senior FDEs, building AI agents and proofs-of-concept, writing and testing prompts, creating data pipelines and dashboards, and presenting a capstone project. Candidates must be currently pursuing a relevant degree, have experience with at least one of Python, JavaScript/TypeScript, Java, or Apex, and U.S. citizenship is required. Hourly base pay range listed as $27–$29.

The role embeds directly with enterprise clients to map current-state workflows, redesign operating models, establish measurement frameworks, and build working AI-powered proofs of concept using LLM APIs and low-code/no-code tools. Requires 5–10 years of management consulting or equivalent experience, hands-on prototyping ability, strong diagnostic skills, and experience driving adoption and measurable outcomes.

Embed with client teams to map and redesign workflows, establish operating models and governance, and build AI-powered proofs of concept using LLM APIs and low-code/no-code tools. Requires 5+ years in management consulting or equivalent enterprise technology/SaaS roles, strong diagnostic and stakeholder-alignment skills, and hands-on ability to ship working prototypes and support adoption.

Drive research and implementation of deep learning algorithms for multimodal deepfake detection (audio and video), speech synthesis detection, facial manipulation analysis, and biometric authentication. Requires a MS/PhD (or equivalent experience), 3+ years of relevant research experience, strong Python and modern ML framework skills (PyTorch/TensorFlow/Keras), and experience building reproducible research pipelines and transitioning prototypes toward production.

Hands-on technical leadership role to design, build, and operate large-scale data acquisition systems (web crawling, ingestion, and pipelines) for foundation-model training. Requires extensive experience in distributed systems, crawl infrastructure, data ingestion, observability, and cross-team coordination; based in Switzerland with remote option.

Remote (LATAM) junior role focused on building and evaluating LLM systems: designing evaluation frameworks, implementing guardrails and moderation for regulated domains, developing prompts and MCP integrations, supporting fine-tuning and model validation, and monitoring production through tools like Langfuse. Requires 1–3+ years in ML/Applied AI, strong Python and FastAPI skills, experience with LLMs and AWS Bedrock, and advanced English.

Dave is hiring a Staff Machine Learning Scientist to set technical direction and governance for modeling across underwriting, collections, fraud, marketing, and growth. Responsibilities include building and improving credit models, establishing model validation and monitoring standards, measuring business impact via experimentation and causal inference, and partnering with Risk/Compliance. Required: 8+ years building production ML solutions, experience in consumer credit or lending, model risk/validation experience, and proficiency in Python, SQL, and frameworks like PyTorch, XGBoost, or Spark.

The Data Platform team centralizes Coinbase's internal and third-party data for analytics, ML, and product use. As a senior engineer you will design, build, and operate foundational data services (cloud warehouse, data lake), orchestration (Airflow), batch (Spark/SQL) and streaming (Kafka); build data integration SDKs and self-service tooling; and deliver services for data security, observability, quality, cataloging, and lineage. Requires 5+ years of software engineering experience, proficiency in Python, Go, or Java, working knowledge of SQL and Airflow, and hands-on experience with data systems and pipelines. Posting lists an annual base salary range of ₹6,612,000—₹6,612,600 INR.

Work with senior engineers to design, implement, and optimize numerical algorithms and Device eXtension APIs (e.g., cuBLASDx, cuSolverDx, cuFFTDx) on NVIDIA GPUs. Tasks include performance analysis and optimization, API definition, prototyping tooling for LLM-friendly codegen, and general software engineering. Candidates should be pursuing an MS or PhD in CS, AI, applied math, or related fields and have strong C++, parallel/GPU programming (CUDA, OpenMP, OpenCL, SYCL), and numerical methods experience.