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.

Sales Engineer, Adaptive Shield (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 22, 2025

CrowdStrike, a global leader in cybersecurity, seeks a Sales Engineer for Adaptive Shield in Europe. The role involves driving sales growth, providing technical expertise, conducting product demonstrations, and collaborating with sales, leadership, marketing, support, customer success, and engineering teams. The ideal candidate should have strong technical knowledge of SaaS/Cloud platforms and security concepts, experience in pre-sales engineering, and excellent communication skills. CrowdStrike offers a remote-friendly culture, competitive benefits, and a commitment to diversity and inclusion.

Senior Consult Partner, Public Sector

Company: Kyndryl

Location: Rome, Italy / Remote

Posted Jan 22, 2025

Kyndryl, a leading technology company, is seeking a Consult Partner with extensive experience in client engagement and relationship management at the CXO level. The role involves driving profitable growth, leading complex consulting engagements, and fostering talent development. The ideal candidate should possess a growth mindset, be customer-focused, and have a deep understanding of industry trends and technology solutions. Public Sector and Transportation industry expertise, along with a strong personal brand and presence in the industry, are highly valued. Kyndryl promotes a culture of inclusivity and offers comprehensive benefits and learning programs.

Associate Director, SAP Sales Specialist

Company: Kyndryl

Location: Lima, Peru / Remote

Posted Jan 22, 2025

Kyndryl is seeking an Associate Director, SAP Sales Specialist to drive sales of transformational SAP services, resulting in recurring annual managed services business. The role involves strategic sales planning, business development, customer relationship management, and ensuring successful customer outcomes. The SAP Sales Specialist will work closely with senior executives, customers, partners, and cross-functional teams to achieve business objectives and drive growth. Key responsibilities include business development, customer management, customer engagements, financial acumen, and collaboration. The ideal candidate will have a Bachelor's degree in business, IT, or a related field, extensive sales experience in the SAP product and services space, deep knowledge of SAP platform and solutions, strong leadership and stakeholder management skills, and excellent communication skills.

Technical Account Manager- High Tech

Company: Ansys

Location: San Diego, CA / Remote

Posted Jan 22, 2025

Sr. Enterprise CSM

Company: Cobalt

Location: Remote

Posted Jan 22, 2025

Cobalt, a remote-first company founded in 2013, is seeking a Customer Success Manager with 3-5 years of experience. The role involves managing client relationships, driving growth, and ensuring customer satisfaction. The ideal candidate should have a commercial mindset, project management skills, and experience with Salesforce. Cobalt offers competitive compensation, benefits, and a flexible work environment. The company is committed to diversity, inclusion, and equal opportunity employment.

Country Marketing Manager, Poland

Company: Duolingo

Location: Remote

Posted Jan 22, 2025

Duolingo is seeking an experienced, creative marketer to build awareness and accelerate growth in Poland. The role involves leveraging market insights to develop a marketing strategy, hiring and leading agencies, implementing social media, partnership, brand, and acquisition campaigns, and acting as a local spokesperson. The ideal candidate should have 5+ years of consumer marketing experience, strong focus on social media and growth marketing, proficiency in Polish, and excellent English skills. Passion for Duolingo's mission, experience with mobile apps and subscription services, and scaling international brands in Poland are plus points. Duolingo is an Equal Employment Opportunity employer.

Senior Reinsurance Accountant

Company: Liberty Mutual Insurance

Location: Columbus, OH / Remote

Posted Jan 22, 2025

Product Data Scientist

Company: Validity

Location: Boston, MA / Remote

Posted Jan 22, 2025

Manager, Sales Operations

Company: Yubico

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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