Cutting-Edge Technology Jobs in Remote

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Looking for Cutting-Edge Technology jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Technology position in the Remote area.

Principal Machine Learning Engineer

Company: Twilio

Location: Remote

Posted Jan 23, 2025

Twilio is seeking a Principal Machine Learning Engineer with a strong background in Data Science, Machine Learning, and Predictive Modeling to join their Efficiency Engineering team. The role involves developing cutting-edge AI solutions for both internal and external customers, focusing on supervised machine learning models and GenAI/LLM-powered applications. The successful candidate will collaborate with various teams, utilize advanced technical stacks, and work with enterprise data sources. Required qualifications include extensive experience in data science, proficiency in Python or R, understanding of data processing techniques, and experience with cloud platforms like AWS. The role is remote-based in Colombia with approximately 15% travel.

Oracle Master Data Management Lead - Director

Company: PwC

Location: Milwaukee, WI / Remote

Posted Jan 23, 2025

Sr. Product Designer - Calcite Brand Design System

Company: Esri

Location: Remote

Posted Jan 23, 2025

Esri is seeking a marketing design team member with 5+ years of experience in designing for web and mobile platforms. The role involves contributing to the Calcite Brand design system, architecting Figma environment, defining detailed design specifications, and facilitating design reviews. The ideal candidate should have a strong understanding of user-centered design principles, excellent communication skills, and experience with Figma, Adobe Experience Manager, and front-end technologies. Esri offers competitive total rewards including health benefits, 401(k) programs, and opportunities for professional growth.

Senior Counsel, Product

Company: Coinbase

Location: Remote

Posted Jan 23, 2025

Staff Software Engineer

Company: HubSpot

Location: Remote

Posted Jan 23, 2025

HubSpot is seeking a Staff Software Engineer for the Reporting Product Group. The role involves working on a high-impact mission, dealing with complex technical and customer problems, and ingesting petabytes of data daily. The engineer will join the Reporting Platform BE team, responsible for the core reporting infrastructure used across the entire HubSpot product. Key requirements include a long track record of delivering high-value projects, a thirst for technical challenges, hands-on coding, strategic direction for major projects, mentoring skills, and pragmatic problem-solving abilities. The cash compensation range is $218,900 - $328,400 annually.

IT Helpdesk Agent /ITヘルプデスクエージェント

Company: Kyndryl

Location: Naha, Japan / Remote

Posted Jan 23, 2025

Kyndryl is seeking a Customer Service Representative for an IT Help Desk role in Okinawa. The role involves handling customer IT inquiries, providing support, and troubleshooting issues. The company values empathy, inclusivity, and continuous learning. No prior tech experience is required, as training and certifications are provided. The role offers opportunities for career growth, mentorship, and diverse work experiences. Kyndryl promotes a supportive work environment and invests in employee development.

Senior Named Account Executive, Public Sector - Melbourne/Victoria

Company: Cloudflare

Location: Remote

Posted Jan 23, 2025

Cloudflare, a leading company in the Internet infrastructure sector, is seeking a highly experienced Senior Named Account Executive for its ANZ Victorian Public Sector business. The role involves building relationships within government agencies, understanding their IT needs, creating new business opportunities, and driving large transformational outcomes. The ideal candidate should have 10-20+ years of B2B selling experience, 5-10+ years in Public Sector accounts, and a strong track record in solution selling. Cloudflare is known for its commitment to protecting the free and open Internet, with initiatives like Project Galileo, Athenian Project, and 1.1.1.1. The company values diversity and inclusiveness, and is an equal opportunity employer.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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