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.

Principal Data Solutions Analyst, Claims Data Products

Company: Liberty Mutual Insurance

Location: Columbus, OH / Remote

Posted Jan 22, 2025

Liberty Mutual's Insights & Solutions group offers a dynamic environment for data-driven problem solvers. The position in question, aligned with the Claims Data Products team, involves prototyping complex data solutions, collaborating with IT to scale these solutions, and effectively communicating with stakeholders. The role requires strong coding skills, experience in data management, and a deep understanding of data governance, compliance, and security. Liberty Mutual values diversity and offers comprehensive benefits, fostering an inclusive workplace.

Supplier Fulfillment Leader - C&SC

Company: GE Aerospace

Location: Boston, MA / Remote

Posted Jan 22, 2025

Sr. Software Engineer - Cloud (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 22, 2025

CrowdStrike, a global leader in cybersecurity since 2011, is seeking a Sr. Cloud Engineer for their Falcon Exposure Management team. The role involves leading engineering efforts for a scalable, real-time application providing visibility into network devices, containers, systems, users, and applications. The ideal candidate will have 7+ years of experience in distributed services architecture, strong programming skills in Go or similar languages, and a deep understanding of multithreading, concurrency, and parallel processing. The position offers a remote-friendly culture, competitive compensation, and opportunities for professional development.

Quality Engineer II

Company: AppFolio

Location: Remote

Posted Jan 22, 2025

AppFolio, a pioneering company in cloud and AI, is seeking a Quality Engineer II. The role involves collaborating with product development teams to ensure high-quality, maintainable software. Key responsibilities include designing quality into the development process, conducting exploratory testing, and guiding the team in developing automated tests. The ideal candidate should have a Bachelor's degree in Computer Science or related field, 2+ years of quality engineering experience, and proficiency in automation frameworks like Capybara/Selenium. Strong analytical skills, attention to detail, and a commitment to quality are essential. The compensation range is $85,600-$107,000.

Principal Software Engineer, Wake-up Phrase

Company: SoundHound, Inc.

Location: Bangalore, India / Remote

Posted Jan 22, 2025

Digital Delivery Manager

Company: Microdesk, Inc.

Location: Remote

Posted Jan 22, 2025

Symetri is looking for a Digital Delivery Manager to join their consulting team and assist large Owner clients in their capital projects. The ideal candidate will have a Bachelor's degree in Architecture, Engineering, or Construction Management, and at least 5 years of practical experience working in a digital delivery environment. The job involves leading the adoption of digital delivery methods and technologies across projects, providing leadership and support to project teams on BIM and digital delivery practices, and fostering a culture of innovation and continuous improvement.

Solution Consultant

Company: Cornerstone OnDemand

Location: Remote

Posted Jan 22, 2025

Cornerstone is looking for a bilingual Solution Consultant with at least 8 years of experience in talent management and advanced learning technologies. The role involves acting as a primary point of contact for stakeholders, building strong relationships, communicating complex solutions, and contributing to revenue growth. The ideal candidate should have a strong understanding of AI, skills development, and system integrations, and be able to mentor internal teams. Prior experience in solution consulting or similar roles within the technology or talent management industry is desirable.

Analyst I, Falcon Complete (Remote, GBR)

Company: CrowdStrike

Location: Remote

Posted Jan 22, 2025

CrowdStrike, a global cybersecurity leader, is seeking experienced senior analysts to join their virtual security operations center. The role involves real-time incident detection, response, and remediation using advanced AI-native platforms. Successful candidates should have expertise in incident handling, computer forensics, systems administration, malware analysis, and programming. CrowdStrike offers a flexible work culture, competitive compensation, and a commitment to diversity and inclusion.

Engineering Manager (Patient Growth)

Company: Headway

Location: Remote

Posted Jan 22, 2025

Headway is a mental healthcare technology company founded in 2019, aiming to create an accessible and affordable mental healthcare system. They've built a platform that connects people with therapists who accept insurance, serving over 1 million patients across 50 states. With over $325m in funding, Headway is currently seeking an engineering leader to grow and manage teams, focusing on high-impact product development and platform integration. This role offers the opportunity to shape patient experiences, directly impacting lives and transforming healthcare.

R&D Engineer II

Company: Ansys

Location: Cambridge, United Kingdom / Remote

Posted Jan 22, 2025

Ansys, a global leader in engineering simulation, is seeking an R&D Engineer II to contribute to the development of materials data products and supporting systems. The role involves collaborating with a team of experts to understand customer requirements and accomplish development objectives. Key duties include understanding materials and materials simulation, performing moderately complex development activities, and employing best practices. The ideal candidate should have a degree in material science, engineering, or a related field, along with experience in solving complex technical engineering/materials problems using recognized methods. Preferred skills include technical knowledge with scientific data, experience with data analysis, visualization, and relational databases, and proficiency in writing code for data automation. Good communication and interpersonal skills are also required.

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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