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.

Data Center Research Analyst

Company: Meta

Location: Remote

Posted Jan 24, 2025

Meta is currently hiring for an experienced Data Center Research Analyst. The role involves tracking data center projects, monitoring construction timelines, and preparing industry analysis reports. The ideal candidate should have a Bachelor's degree in a relevant field, 5+ years of experience in research or analysis, and strong analytical and communication skills. Preferred qualifications include experience with data visualization tools like Tableau or Power BI. Meta, known for platforms like Facebook, Instagram, and Messenger, is committed to fostering a diverse and inclusive work environment. The role offers a competitive salary, bonus, equity, and benefits package.

SVP Marketing

Company: Socure

Location: Remote

Posted Jan 24, 2025

Senior Data Scientist

Company: Hatch

Location: Remote

Posted Jan 24, 2025

Hatch is a company dedicated to aiding small businesses in starting and growing. They are constructing financial products to empower business owners, allowing them to concentrate on their products and business expansion. The Data Science role involves setting up the data team, engineering features, building and implementing models, interpreting data, and providing actionable insights. The ideal candidate should have 5+ years of experience in data science, proficiency in Python and SQL, and strong communication skills. Hatch values diversity and offers opportunities for growth within a supportive team environment.

Senior Content Marketing Manager (Workplace Culture Network)

Company: EVERFI

Location: Remote

Posted Jan 24, 2025

EVERFI, a global technology company, is seeking a Senior Manager for Content Marketing. The role involves leading the content strategy for a business segment, driving revenue through brand awareness, lead generation, and customer engagement. Responsibilities include conceptualizing pillar content, defining content KPIs, producing high-quality content, and collaborating with various teams to meet revenue targets. The ideal candidate should have 5+ years of digital marketing experience, expertise in content development and distribution, strong analytical skills, and proficiency in CRM, Marketing Automation, and CMS software. EVERFI offers competitive benefits, a casual work environment, and a strong company culture centered around eight core values.

Team Lead - iSeries Operations

Company: Kyndryl

Location: Bangalore, India / Remote

Posted Jan 24, 2025

Customer Support Analyst

Company: EVERFI

Location: Remote

Posted Jan 24, 2025

EVERFI, a globally recognized technology company, specializes in driving social impact through education, addressing critical issues like financial wellness and mental health. Founded in 2008, EVERFI's Impact-as-a-Service solution has reached over 41 million learners worldwide. The company has been honored as one of the World's Most Innovative Companies by Fast Company and featured on Fortune Magazine's Impact 20 List. EVERFI is backed by prominent investors including Jeff Bezos, Eric Schmidt, and Evan Williams. The Customer Support Analyst role involves providing top-tier customer support, troubleshooting technical issues, and maintaining strong relationships with internal stakeholders and customers. The role requires strong communication skills, empathy, and tech-savviness. EVERFI offers competitive benefits, a casual work environment, and opportunities for career growth.

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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