Machine Learning Jobs in Remote

140,605 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.

Director, Security Practice Leader

Company: Kyndryl

Location: Hoofddorp, Netherlands / Remote

Posted Jan 22, 2025

Senior Marketing Analyst, Member

Company: Carrot Fertility

Location: Remote

Posted Jan 22, 2025

Carrot Fertility, a leading global fertility and family-building platform, is seeking a Senior Marketing Analyst. The role involves serving as the analytics SME on the Growth and Engagement team, analyzing complex member data from various sources to measure and evaluate campaign performance. The ideal candidate will have a Bachelor's degree in a quantitative field, 5-7 years of relevant experience, and proficiency in data warehouse platforms, web analytics tools, and marketing automation platforms. They should also have experience in healthcare, tech, or health-tech, and familiarity with engagement-based models and strategies. The role involves defining and maintaining team KPIs, conducting quality checks, collaborating with BI, data science, product, and engineering teams, and mentoring team members. Carrot offers a competitive compensation package and is recognized for its pioneering work in diversity, equity, and inclusion.

Payments Risk Analyst II

Company: Coinbase

Location: Remote

Posted Jan 22, 2025

Data Engineer, Product Analytics

Company: Meta

Location: Remote

Posted Jan 22, 2025

As a Data Engineer at Meta, you will play a pivotal role in shaping the future of Meta's applications including Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will collaborate with various teams to design and build extensive data sets, optimizing growth, strategy, and user experience for billions of users and hundreds of millions of businesses. The role involves conceptualizing data architecture, creating data models, ensuring data security and quality, and influencing product development with data-driven insights. The ideal candidate should have a degree in Computer Science or a related field, 4+ years of experience in data-related roles, and proficiency in SQL, ETL, data modeling, and at least one programming language.

ITヘルプデスクエージェント

Company: Kyndryl

Location: Naha, Japan / Remote

Posted Jan 22, 2025

Portfolio Director, Talent Pipeline Assessments

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Jan 22, 2025

Liberty Mutual is seeking a Portfolio Director, Talent Pipeline Assessments for their People, Purpose & Brand (PP&B) Talent Pipeline organization. The role involves setting and maintaining the assessment, skills, and research architecture to support a skills-based talent strategy. Key responsibilities include innovating talent pipeline solutions, developing and sustaining skills architecture, conducting continuous research, managing the assessment portfolio, and collaborating for DEI excellence. The ideal candidate will have a PhD in Industrial Organizational Psychology, 5+ years of private sector experience, and expertise in psychometrics, assessment design, and skills taxonomy development.

Site Reliability Engineer

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Jan 22, 2025

Principal Machine Learning Engineer - Central AI

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Jan 22, 2025

Atlassian, a distributed-first company, is seeking a Principal Machine Learning Scientist for its Central AI team in Bellevue, WA. The role involves driving the development and implementation of cutting-edge machine learning algorithms, collaborating with various teams, and integrating AI functionalities into Atlassian's products and services. The ideal candidate should have a Bachelor's or Master's degree in Computer Science or related field, 5+ years of industry experience, expertise in Python or Java, and a proven track record in building and scaling ML models. Atlassian offers competitive compensation, perks, and a culture that values diverse perspectives.

Senior Software Engineer, Infrastructure (Backend Platform)

Company: Coinbase

Location: Remote

Posted Jan 22, 2025

Coinbase is seeking a Senior Software Engineer with extensive network engineering experience, preferably in public cloud providers like AWS, GCP, or Azure. The role involves architecting, designing, deploying, and managing cloud-based network infrastructure, implementing customer-focused abstractions, and leading technical decisions. The ideal candidate should have strong proficiency in modern tech stacks, low-level primitives, and software engineering processes. They should also exhibit Coinbase's core values and be flexible in a dynamic environment. Crypto-forward experience is a plus.

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.

Related Pages