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.

Underwriting Support Manager

Company: Liberty Mutual Insurance

Location: Seattle, WA / Remote

Posted Jan 22, 2025

Liberty Mutual is seeking a manager for Surety National Accounts and Subcontract Default Insurance (SDI) Underwriting Support. The role involves managing a team of Underwriting Assistants and Bond Support Specialists, handling policy issuance, bond registration, and contract/commercial bond requests. The manager will also develop and monitor operating and quality standards, ensure compliance with regulatory requirements, and drive consistency throughout the organization. The candidate should have a Bachelor's degree, 5+ years of management experience, and strong communication skills. Liberty Mutual offers a competitive salary range, opportunities for growth, and a supportive work environment.

Customer Success Manager

Company: Cornerstone OnDemand

Location: Mühlhausen, Germany / Remote

Posted Jan 22, 2025

Learning Technology Specialist

Company: Pluralsight

Location: Draper, UT / Remote

Posted Jan 22, 2025

Strategic Account Executive

Company: Datadog

Location: Remote

Posted Jan 22, 2025

Datadog is seeking a Strategic Account Executive with 5+ years of closing experience, preferably in a SaaS or IT infrastructure environment. The role involves prospecting into large Fortune 1000 companies, understanding their pain points in cloud operations, and delivering appropriate Datadog solutions. The company values a hybrid workplace culture, offering high income earning opportunities, stock equity, professional development, and comprehensive benefits. Datadog is committed to diversity and equal employment opportunities.

Arity- Data Scientist Senior Manager - Arity

Company: Allstate

Location: Remote

Posted Jan 22, 2025

Arity, a remote data and analytics company founded by The Allstate Corporation in 2016, is seeking a Sr. Manager for its Core Telematics team. The role involves leading R&D teams in developing advanced driver behavior detection algorithms from smartphone sensor data. The ideal candidate should have a proven track record in machine learning, predictive modeling, and signal processing. Responsibilities include building vision and strategy, leading teams, understanding business problems, and deploying models into production. The compensation for this role ranges from $143,200.00 to $227,050.00 annually.

Director, Product Design, Conversational AI

Company: ServiceNow

Location: San Diego, CA / Remote

Posted Jan 22, 2025

ServiceNow, a global market leader in AI-enhanced technology, is seeking an experienced Enterprise Product Designer to lead a team of designers and managers. The role involves collaborating with product teams to deliver innovative UX, managing a portfolio of products, and overseeing user needs assessment and research. The ideal candidate should have at least 8 years of visual and interaction design experience, expertise in design systems, and proficiency in design tools. They must also have strong communication skills and the ability to work in a fast-paced, agile environment. ServiceNow offers a competitive compensation package, including base pay, equity, variable/incentive compensation, and benefits.

Senior Business Analyst

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Jan 22, 2025

Liberty Mutual's GRS North America Claims Strategy & Analytics team is seeking a Senior Business Analyst to support the growth of their Mobility business. The role involves producing data, reports, and analyses for a large rideshare program, working with various stakeholders including analytics, claims teams, and actuarial partners. The ideal candidate will have a strong analytical background, excellent communication skills, and a curiosity about trends impacting the liability lines of business. They will be required to go into the office twice a month if within 50 miles of certain offices. Responsibilities include identifying business processes to review, conducting complex research, analyzing data, and developing business cases for changes. Qualifications include strong research, problem-solving, and analytical skills, business operations knowledge, and proficiency in Excel and database software.

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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