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.

QA Analyst (Automation)

Company: J. J. Keller & Associates, Inc.

Location: Houston, TX / Remote

Posted Jan 24, 2025

J. J. Keller is seeking a QA professional for a newly created role in their Managed Services area. The position involves developing and executing quality assurance plans, test strategies, and procedures for software products and services. The role is heavily technology-enabled, with 70% automation, and uses the latest MS tech stack including Microservices, CI/CD, Automated Testing, Cloud Architecture, and Predictive Analytics/AI/ML. The company offers a collaborative environment, remote work options, and a competitive benefits package. Qualifications include 2+ years of software QA experience, API testing experience, and proficiency in MS Office Suite.

Analyst II, Full Stack (Strategic Finance)

Company: Affirm

Location: Remote

Posted Jan 24, 2025

Affirm is seeking a data professional to join their Strategic Finance team, focusing on Forecasting and Data Infrastructure/Analytics. The role involves becoming an end-to-end financial expert, designing scalable data pipelines, and supporting the Finance team in developing automated financial forecasts. The ideal candidate should have strong technical skills, intellectual curiosity, and the ability to influence and present to all levels of the organization. Affirm offers competitive compensation, benefits, and a remote-first work environment.

Support Operations Program Manager - AI Technology

Company: Samsara Inc.

Location: Remote

Posted Jan 24, 2025

Samsara, a pioneer in the Connected Operations™ Cloud, is seeking a Support Operations Program Manager to deploy AI technology within their Support ecosystem. The role involves driving AI strategy, deploying AI initiatives, collaborating across departments, optimizing customer and agent experiences, driving performance metrics, and acting as an AI advocate. The ideal candidate should have a Bachelor's degree in Engineering, Operations Management, Computer Science, or a related field, with 8+ years of experience in business operations with technology implementations. They should possess technical fluency with AI tools and platforms, a customer-centric mindset, strong analytical, communication, and project management skills. Samsara offers a competitive total compensation package, flexible working model, and a commitment to diversity and inclusion.

Technical Support Engineer - Loom

Company: Atlassian

Location: Canada / Remote

Posted Jan 24, 2025

Senior Claims Representative - Auto Property Damage

Company: Liberty Mutual Insurance

Location: Dallas, TX / Remote

Posted Jan 24, 2025

Liberty Mutual is offering a Senior Claims Representative position in the Auto Property Damage (APD) division. The role involves reviewing and processing straightforward Commercial claims, interacting with various parties, and determining policy coverage. The company provides comprehensive benefits, including insurance education and training. This is a remote position with in-office requirements twice a month for candidates near Suwanee, GA and Dallas, TX. Qualifications include a Bachelor's Degree, 1-2 years of experience, and strong customer service and technology skills. Liberty Mutual is committed to fostering a diverse, equitable, and inclusive workplace.

Motion Designer | HorizonOS

Company: Meta

Location: Remote

Posted Jan 24, 2025

Customer Service Associate with Romanian and English

Company: Kyndryl

Location: Wroclaw, Poland / Remote

Posted Jan 24, 2025

Kyndryl is seeking a Customer Service Representative with a growth mindset, customer focus, and strong communication skills. The role involves providing support to clients via various channels, learning new technologies, and growing professionally. Kyndryl offers a diverse, inclusive environment with flexible working policies, learning opportunities, and comprehensive benefits. The ideal candidate should have knowledge of Romanian and English, and familiarity with Windows, Mac, or Linux operating systems.

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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