Machine Learning Jobs in Remote

140,477 open positions · Updated daily

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.

Civil Pre Sales Dealer Enablement Trainer

Company: Trimble

Location: Westminster, CO / Remote

Posted Jan 25, 2025

Senior Software Engineer - API Clients

Company: Datadog

Location: Boston, MA / Remote

Posted Jan 25, 2025

Principal Machine Learning Engineer - AI / ML

Company: Atlassian

Location: Bangalore, India / Remote

Posted Jan 25, 2025

Senior .NET Development Engineer (*) Remote

Company: WEX

Location: Boston, MA / Remote

Posted Jan 25, 2025

*Scout Search Quality Rater - Simplified Chinese (USA)

Company: WeLocalize

Location: Remote

Posted Jan 25, 2025

Welocalize is seeking Simplified Chinese speakers in the US to work as Search Quality Raters. The role involves improving online search engine experiences by providing subjective and objective ratings based on project rules. The position is remote, flexible, and offers benefits such as medical, dental, and vision insurance. Requirements include full proficiency in Simplified Chinese, strong English skills, understanding of Chinese popular culture, and the ability to work in a fast-paced environment. The project is for 12 months with potential extension.

Human Resources Business Partner

Company: Brilliant Earth

Location: Remote

Posted Jan 25, 2025

The HR Business Partner (HRBP) role at Brilliant Earth involves aligning business objectives with employees and management, delivering value-added services, and building and implementing meaningful programs. Key responsibilities include partnering with midlevel managers and senior leaders, providing day-to-day performance management guidance, developing people strategies, using data to analyze trends, and championing a culture of engagement. The role requires a Bachelor's degree, SHRM certification, and at least 4 years of experience in HR. Brilliant Earth offers excellent training, career growth opportunities, competitive compensation, and a robust benefits package.

UX/UI Designer

Company: Marigold Health

Location: Remote

Posted Jan 25, 2025

Marigold Health, a leading provider of app-based peer recovery support, is seeking a UX/UI Designer to create intuitive and engaging experiences for members and peer supporters. The role involves designing user interfaces, developing features, ensuring accessibility and inclusivity, conducting user research, and collaborating with cross-functional teams. The ideal candidate should have a Bachelor's degree in a related field, 5+ years of UX/UI design experience, proficiency in design tools, and a strong portfolio. The role offers professional growth opportunities, a supportive culture, and competitive benefits.

Senior Software Engineer - Full Stack

Company: Datadog

Location: Paris, France / Remote

Posted Jan 25, 2025

*Scout Search Quality Rater - Spanish (Spain)

Company: WeLocalize

Location: Remote

Posted Jan 25, 2025

Welocalize is offering a remote, flexible position for Spanish speakers in Spain to work as a Search Quality Rater. The role involves improving online search engine experiences by providing subjective and objective ratings based on project rules. The ideal candidate should be web-savvy, have excellent research skills, and be dedicated solely to this rating program. Benefits include setting one's own schedule, working with a multicultural team, and potential for long-term partnership and professional development.

Staff Software Engineer (Backend)

Company: Seeq Corporation

Location: Remote

Posted Jan 25, 2025

Seeq, a remote-first company, is seeking a Staff Software Engineer to shape the technical direction and architecture of their software platform. The role involves leading the design and development of complex software systems, mentoring junior engineers, and evolving data-intensive applications to leverage cloud-native technologies. The ideal candidate is a productive engineer with a passion for crafting exceptional software, excellent problem-solving skills, and a strong understanding of software design principles. They should be comfortable with JVM languages, databases, distributed computing, and cloud platforms. The company offers competitive compensation, benefits, and a collaborative work environment.

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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