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.

Software Engineer III - Android

Company: Walmart Global Tech

Location: Remote

Posted Feb 02, 2025

Walmart is seeking an experienced Android engineer to join their Walmart+ team. The role involves designing, developing, and delivering high-quality software applications using Kotlin. The engineer will troubleshoot business and production issues, perform design and code reviews, and collaborate with cross-functional teams to determine project requirements. They will also drive the execution of multiple business plans and projects, and promote company policies and values. The ideal candidate will have hands-on experience building scalable Android applications, knowledge of animation and screen transitions, and experience with Android SDK Services and various methods of background processing.

Sr. Technical Support Specialist II (West Coast Coverage 9a-5p PT)

Company: Poll Everywhere

Location: Remote

Posted Feb 02, 2025

Poll Everywhere is seeking a Senior Technical Support Specialist II to join their Customer Support team. The ideal candidate will have a growth mindset, technical acumen, and the ability to troubleshoot complex issues. The role involves assisting customers from F1000 companies and R1 Universities, collaborating with internal teams, and becoming highly knowledgeable about the product. Key responsibilities include advanced troubleshooting, root cause identification, and communicating findings to customers. The company is a growing B2B SaaS firm on a mission to make presentations more inclusive, supporting millions of users worldwide.

Fraud Analyst

Company: Pirate Ship

Location: Remote

Posted Feb 02, 2025

Pirate Ship, a remote-first ecommerce shipping company, is seeking a Fraud Analyst to join their crew. The role involves analyzing fraudulent activities, developing strategies to reduce fraud, and collaborating with cross-functional teams. The company offers competitive pay, benefits, and a fun, creative atmosphere. Minimum qualifications include 3+ years of fraud analysis experience, proficiency in Excel, SQL, Python, and data analytics tools. Bonus points for ecommerce and pirate-speaking skills.

Code Wrangler - Support Tooling

Company: Wordpress VIP

Location: Remote

Posted Feb 02, 2025

Automattic, the company behind WordPress.com and WooCommerce, is seeking a talented Software Engineer to join their global, distributed team. The ideal candidate will have production experience with PHP and JavaScript, knowledge of systems architecture, and a passion for software development. They should be highly collaborative, experienced in code reviews, and have a strong understanding of design patterns and testing. The role involves working on large-scale systems, improving customer support workflows, and contributing to open-source projects. Automattic offers flexible work arrangements, a positive work culture, and opportunities for growth and leadership.

Digital Marketing Lead (SEO/PPC) (Remote - Philippines)

Company: WebFX

Location: Remote

Posted Feb 02, 2025

WebFX, a fast-growing full-funnel revenue marketing agency, is seeking talented individuals to join their mission of providing world-class marketing solutions to midsize businesses worldwide. They offer competitive compensation, comprehensive benefits, and opportunities for career growth and development. The company values its employees, providing long-term stability, support, and a strong commitment to giving back globally. The role involves managing SEO and PPC campaigns, optimizing client websites, and consulting with clients to meet their business goals.

Program Manager, Talent and Performance Management

Company: StackAdapt

Location: Remote

Posted Feb 02, 2025

StackAdapt is a self-serve advertising platform specializing in multichannel solutions. They are seeking a dynamic Program Manager in Talent and Performance Management to lead their center of excellence. The role involves iterating on and implementing global employee talent and performance management processes, workforce and succession planning, and job architecture. The ideal candidate should have strong analytical skills, experience in HR, and a proven track record in designing and scaling Talent Management programs. StackAdapt offers competitive benefits, a supportive culture, and opportunities for continuous learning.

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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