Modern development workflows jobs

Product Engineer - AI/ML

Stanford Health Care · Posted Nov 5, 2026

Open

Palo Alto, California, United States
Hybrid
Full-time · Mid
$82–$108 per hour

Product Engineer - AI/ML

Stanford Health Care · Posted Nov 5, 2026

Open

Palo Alto, California, United States
Hybrid
Full-time · Mid
$82–$108 per hour

QA Engineer

Drawbridge Partners · Posted Nov 6, 2026

Open

Boston, Massachusetts, United States +1 more
Full-time · Entry
0–2 years

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Automation-first QA Engineer focused on cybersecurity and AI-powered software quality assurance.

Locations (2)

Boston, Massachusetts, United States
Palm Beach Gardens, Florida, United States

Responsibilities

Write and maintain automated tests across UI, API, data pipelines, and AI prompts
Build eval sets for AI features and identify hallucinations, regressions, and inconsistent output
Test authentication, authorization, permissions, and data protection controls
Triage pipeline failures in Azure DevOps and write bug reports developers can act on
Work with developers and product through sprint planning, refinement, and release

Requirements

Nice to have: Playwright
Nice to have: API testing tools
Nice to have: Azure DevOps
Nice to have: Microsoft Fabric
Nice to have: LLM evaluation tools

Full Stack Engineer - Growth & Experimentation – Krak

Kraken · Posted Nov 6, 2026

Open

Brazil
3+ years

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Lead full‑stack development of growth experiments for the Krak app, focusing on rapid React Native feature delivery and backend support.

Responsibilities

Build and ship consumer‑facing features in React Native and TypeScript
Own end‑to‑end growth experiments from hypothesis to launch
Improve onboarding, activation and feature discovery
Contribute to backend services and APIs, primarily in Rust
Analyze A/B test results and iterate on product features

Requirements

Nice to have: Fintech
Nice to have: digital banking
Nice to have: payments
Nice to have: trading
Nice to have: crypto

Skills

React React Native JavaScript TypeScript API design WebSockets real‑time systems mobile performance

Founding GTM Engineer

Weave · Posted Feb 10, 2026

Open

San Francisco, California, United States
On-site
Full-time · Mid

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A founding role combining software engineering with sales and market strategy to build pipeline, create technical enablement assets, and refine sales/onboarding processes.

Compensation

Competitive pay + early equity

Responsibilities

Build pipeline: do whatever it takes across systems, sales and marketing to build pipeline.
Partner closely with founders, engineers, and product to automate as much of the sales and onboarding process as possible.
Create technical enablement assets: Build demos, reference architectures, integration guides, and technical documentation that accelerate sales cycles.
Help refine outbound, pricing, expansion, and playbooks. We’re inventing them as we go.
Be flexible: some days you’ll be hunting new logos, others you’ll be designing a new internal system.

Requirements

Nice to have: Experience selling developer tools
Nice to have: AI/ML platforms
Nice to have: Infrastructure software
Nice to have: Experience at early-stage startup (Seed to Series C)
Nice to have: Background as a founder, early operator, or first technical hire

Skills

Software engineering background Production code

ML Engineer - Simulation

Teradyne · Posted Nov 4, 2026

Open

Bangalore, India
On-site
Full-time · Mid
3+ years

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ML Engineer on the Simulation team developing perception and 3D generation models for Universal Robots and MiR platforms.

Responsibilities

Train, fine‑tune, and evaluate deep learning models for object detection, instance segmentation, and pose estimation
Develop and train models for 3D asset generation and image‑to‑3D reconstruction
Build scalable, reproducible training pipelines across cloud and on‑premises GPU clusters
Generate and curate synthetic training data from the simulation platform
Develop data collection, annotation, preprocessing, and quality‑control pipelines for 2D and 3D datasets

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, Robotics, or a related technical field

Skills

Python C++PyTorch JAX object detection segmentation

Product Engineer - AI/ML

Product Engineer - AI/ML

Compensation

Responsibilities

Requirements

Skills

QA Engineer

Locations (2)

Responsibilities

Requirements

Full Stack Engineer - Growth & Experimentation – Krak

Responsibilities

Requirements

Skills

Founding GTM Engineer

Compensation

Responsibilities

Requirements

Skills

ML Engineer - Simulation

Responsibilities

Requirements

Skills

Skills

Benefits

Benefits