Machine Learning Jobs in Remote

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Looking for Machine Learning jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Remote area.

Sr. Software Engineer - Cloud Platform Reliability (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 23, 2025

CrowdStrike, a global leader in cybersecurity since 2011, is seeking a skilled developer to build next-generation infrastructure and security platforms. The role involves developing and maintaining services for reliability and scalability, enhancing monitoring services, and collaborating across teams. The ideal candidate should have 6+ years of experience in developing microservices for SaaS products in object-oriented languages like Golang, Java, Scala, Kotlin, Python, or Node.js. They should possess a deep understanding of distributed systems, scalability challenges, and multi-threading, concurrency, and parallel processing technologies. The candidate will also be expected to contribute to the open-source community, thrive in a fast-paced environment, and adhere to engineering best practices.

Software Development Manager, Data Engineering. Generative AI

Company: Autodesk

Location: Atlanta, GA / Remote

Posted Jan 23, 2025

Autodesk is seeking a Software Development Manager for the AEC Solutions group to lead a team in building data pipelines for AI, deep learning, and generative AI. The role involves collaborating with AI Researchers, ML Engineers, Software Architects, and Experience Designers. The ideal candidate should have a BS or MS in Computer Science, 10+ years of software development experience, and experience in the AEC industry. The position offers the opportunity to shape the future of the AEC industry and work with cutting-edge technologies.

Outside Sales Representative

Company:

Location: Alexandria, VA / Remote

Posted Jan 23, 2025

Uline, a leading distributor of shipping, industrial, and packaging materials, is seeking a Sales Account Manager in Alexandria, Virginia. The role offers a competitive salary of $85,000 to $133,000 per year, with opportunities for growth and job stability. The successful candidate will manage and grow existing accounts, bring in new business, and provide exceptional customer service. Uline offers comprehensive benefits including complete insurance coverage, a 401(k) with a 6% employer match, paid holidays, generous paid time off, and bonus programs. The company culture emphasizes strong customer relationships built on trust, with a focus on work-life balance and continuous learning.

Lead, Infrastructure Security Engineer - Data Protection

Company: Prudential Financial

Location: Remote

Posted Jan 23, 2025

Prudential is seeking a Lead, Infrastructure Security Engineer for the Security Service Data Protection team. The role involves partnering with various teams to improve cyber defense capabilities, designing technical architecture for solutions like UEBA, SIEM, and SOAR, and developing requirements and implementation strategies. The ideal candidate should have a Bachelor's degree in Computer Science or related fields, experience with agile methodologies, TDD, and strong communication skills. Prudential offers competitive compensation, benefits including health insurance, 401(k) match, pension plan, wellness programs, and education benefits.

Software Engineering Technical Specialist

Company: Kyndryl

Location: North Kingstown, RI / Remote

Posted Jan 23, 2025

Kyndryl is seeking a Software Engineering Technical Specialist to contribute to their software engineering space. The role involves developing solutions in domains like Security, Systems, Databases, and Networking Solutions. The successful candidate will be a leader, demonstrating technical expertise and team leadership skills. They will work closely with various teams to deliver high-quality products and features through the agile software development lifecycle. The role also includes coaching and mentoring engineers. Kyndryl values effective communication, collaboration, and a growth mindset. The company offers competitive compensation, benefits, and opportunities for professional development.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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