Machine Learning Jobs in Remote

140,622 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.

Database Administration

Company: Kyndryl

Location: Lima, Peru / Remote

Posted Jan 22, 2025

Kyndryl is seeking a skilled Database Administrator to manage and modernize their mission-critical technology systems. The role involves designing, building, and maintaining database management systems, ensuring peak performance, and implementing high security standards. The successful candidate will also be responsible for disaster recovery planning, supporting end users and developers, and conducting capacity planning. Kyndryl values diversity and offers growth opportunities, including training programs and the chance to work with various industries.

Customer Success Manager

Company: Cornerstone OnDemand

Location: Mühlhausen, Germany / Remote

Posted Jan 22, 2025

Staff Machine Learning Platform Engineer

Company: Coinbase

Location: Remote

Posted Jan 22, 2025

Coinbase is seeking a Staff Machine Learning Platform Engineer to join their team. The role involves leading the design of the next generation of their Machine Learning platform, mentoring junior engineers, and collaborating across the industry. The ideal candidate should have 8+ years of industry experience as a Software Engineer, a deep understanding of distributed systems, and excellent communication skills. The position offers the opportunity to work on a lean team, applying software engineering skills across all aspects of building ML at scale. Coinbase is committed to diversity and equal opportunity employment.

Temporary Accounts Payable Specialist

Company: Kairos Power

Location: Albuquerque, NM / Remote

Posted Jan 22, 2025

Kairos Power, a nuclear energy technology company, is hiring a Temporary Accounts Payable Specialist for approximately 4 months. The role involves daily accounting processes, invoice verification, vendor payment batches, and maintaining accurate vendor information. The ideal candidate should have an associate's degree in accounting or related field, 1+ years of accounts payable experience, and strong attention to detail. The company offers competitive compensation, medical benefits, and a collaborative work environment. The position is remote and involves working with sensitive information subject to export control restrictions.

ASIC Engineer, Power

Company: Meta

Location: Remote

Posted Jan 22, 2025

Meta is seeking ASIC Power Engineers to work on power/performance optimizations for large complex disaggregated ASICs. The role involves working with Architecture and Design teams, defining power specifications, developing power modeling infrastructure, and optimizing designs for low-power. The ideal candidate should have 10+ years of experience in power arch specification, modeling, and design with C++/Python, and knowledge of ASIC design process.

Data Analyst

Company: Brilliant

Location: Remote

Posted Jan 22, 2025

Brilliant, a successful and growing company specializing in corporate gifting, is seeking an experienced data analyst. The role is crucial for leveraging data to drive decisions, improve processes, and scale the company. The ideal candidate will work with a team of engineers and cross-functional leaders to understand and interpret data, leading improved reporting and dashboards. Key responsibilities include data analysis and reporting, dashboard ownership, learning and interpreting complex data systems, delivering reports for stakeholders, self-service reporting, storytelling with data, and data system improvements. Requirements include at least 3+ years of experience in data or business analysis, proficiency in SQL, expert-level skills in spreadsheets, experience with BI tools, and a relevant degree. Brilliant values self-starters, strong communication skills, the ability to build self-serve tools, spreadsheet wizardry, project management skills, and storytelling abilities.

Quality Engineer I

Company: AppFolio

Location: Remote

Posted Jan 22, 2025

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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