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.

Senior Software Engineer, Mobile

Company: Rise8

Location: Remote

Posted Jan 25, 2025

Rise8 is a company that is transforming the United States Government by focusing on employee experience and using next-level tech and on-the-level collaboration. They offer competitive pay, benefits, and invest in employee growth. The company culture is unique and empowering, with a focus on kindness and empathy. Rise8 is certified as a Great Place to Work. They are looking for a Software Engineer with 6-10 years of experience in various programming languages, particularly mobile development. The role involves working with clients, teaching agile software development practices, and delivering reliable software solutions. The company offers a competitive salary, flexible schedule, premium insurance, retirement match, paid time off, education and training budget, home office and merch allowance, wellness budget, and a MacBook Pro. The role requires US citizenship due to working with Federal Government customers.

Senior Customer Success Manager - East

Company: Cyara

Location: Remote

Posted Jan 25, 2025

Cyara is a leading provider of an Automated CX Assurance Platform, assisting global brands in delivering superior customer experiences with reduced effort, cost, and risk. The company supports the entire CX software development lifecycle, from design to testing and production monitoring. Cyara's commitment to diversity, equity, inclusion, and belonging is evident in its policies and culture. The company values delivering excellence, innovation, integrity, and curiosity. They are seeking an exceptional Customer Success Manager to build and maintain strong relationships with enterprise customers, ensuring they maximize the value of Cyara's solutions. The role requires strategic mindsight, experience managing large multinational accounts, and strong technical acumen. Cyara offers a flexible work environment, competitive compensation, and a results-oriented, fast-paced culture.

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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