Machine Learning Jobs

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Machine learning is reshaping industries from autonomous vehicles to personalized medicine. Every quarter, investment in AI startups rises, and Fortune 500s are hiring data scientists to turn vast datasets into actionable insights. This surge translates into a high demand for ML talent, with roles expanding into new verticals and requiring hybrid skill sets that blend software engineering, domain knowledge, and statistical modeling.

Within the ML ecosystem, you’ll find positions such as ML Engineer, responsible for production‑ready pipelines; Data Scientist, focused on exploratory analysis and model prototyping; Research Scientist, pushing the frontier of deep learning; MLOps Engineer, ensuring seamless deployment and monitoring; and AI Ethicist, guiding responsible AI practices. Each role demands tools like TensorFlow, PyTorch, scikit‑learn, SQL, Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform).

Salary transparency matters because it levels the playing field for ML professionals. With clear pay data, you can benchmark your compensation against peers, negotiate offers that reflect your expertise, and spot disparities that may indicate bias. Transparent figures also help you assess the true cost of entry into specialized subfields like reinforcement learning or federated learning, where pay can differ significantly from standard ML engineering.

Senior AI Engineer

Company: Apollo.io

Location: India

Posted Nov 27, 2025

The text describes a Senior AI Engineer role at Apollo, focusing on building advanced AI systems using Large Language Models (LLMs) and intelligent agents. The role involves working on critical capabilities such as AI Assistant, Autonomous AI Agents, Deep Research Agents, Conversational Assistant, Semantic Search, Search Personalization, and AI Power Automation features. The mission is to leverage Apollo's massive scale data and cutting-edge AI to understand and predict user behaviors, personalize experiences, and optimize the customer journey through intelligent automation.

Principal Data Scientist – Product

Company: Gusto, Inc.

Location: Canada

Posted Nov 27, 2025

Gusto is seeking a highly skilled Principal Data Scientist with 10+ years of experience to drive strategic decision-making through experimentation, statistical inference, and causal analysis. The role involves shaping analytical strategy, executing on analytical roadmaps, driving scaled impact, thought partnership, analytical innovation, and mentorship. The ideal candidate will have strong SQL and Python skills, experience applying statistical methods and causal inference, and a passion for mentoring others.

Staff DevOps Engineer

Company: Hostaway

Location: Europe

Posted Nov 27, 2025

Hostaway is a market-leading SaaS scaleup transforming the vacation rental industry. They are seeking a Staff DevOps Engineer to join their Platform Engineering group and help keep their systems secure, reliable, and enable fast iteration for developers. The role involves collaborating across multiple teams, shaping technical strategy, leading architectural design, and driving initiatives across core engineering topics.

Solutions Architect - Healthcare/Life Sciences Team (HLS)

Company: Databricks

Location: USA

Posted Nov 27, 2025

Databricks is seeking experienced presales professionals to help large enterprises become more data-driven. The role involves defining and directing technical strategy for important accounts, leading to wider adoption of ML and AI. The ideal candidate will have a background in value selling, technical account management, and technical leadership, and will work with a team to build proofs of concept and demonstrate Databricks products.

Applied Research Lead - Model Scaling

Company: Runway

Location: North America,Europe

Posted Nov 27, 2025

Runway is seeking a Senior Applied Research Scientist to lead pretraining efforts for their next-generation multimodal models. The role requires 4+ years of ML experience, strong programming skills, and a passion for building human-in-the-loop systems for creativity. The company offers competitive salaries and strives to recruit diverse talent.

Engineering Manager - Machine Learning

Company: Runway

Location: North America,Europe

Posted Nov 27, 2025

This job description outlines an Engineering Manager role focused on ML-based features for creative tools, requiring experience in team leadership and machine learning systems. The position emphasizes diversity, equity, and competitive compensation with a salary range of $360,000-$440,000 in the US.

Applied Research Lead - Reinforcement Learning

Company: Runway

Location: North America,Europe

Posted Nov 27, 2025

Runway is seeking a Senior Applied Research Scientist to lead efforts in applying reinforcement learning techniques to improve the quality and controllability of their models. The role requires 4+ years of relevant experience, strong programming skills, and a passion for building human-in-the-loop systems for creativity. The company offers a competitive salary range of $280,000 to $380,000.

Senior Software Engineer - Detection & Response Engineering

Company: Grafana Labs

Location: UK

Posted Nov 27, 2025

This is a remote Senior Software Security Engineer position in the UK for the Detection & Response Engineering team. The role involves building advanced security tools, conducting detection research, and automating response processes using Go, TypeScript, Python, and the Grafana observability stack. The ideal candidate should have 4+ years of software engineering experience, knowledge of security concepts, and experience with public clouds, Kubernetes, and container ecosystems.

NetSuite Administrator

Company: Canonical

Location: EMEA

Posted Nov 27, 2025

Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Their platform, Ubuntu, is widely used in various industries. The company is founder-led, profitable, and growing. They are hiring a NetSuite Administrator who strives for high engineering quality and process efficiency. The role involves developing engineering solutions in NetSuite, Salesforce, and other business systems, collaborating with colleagues, and learning Canonical business processes.

Senior Software Engineer - Detection & Response Engineering

Company: Grafana Labs

Location: Spain

Posted Nov 27, 2025

This is a remote Senior Software Security Engineer position in Spain. The role involves building advanced security tools and processes, collaborating with teams, and contributing to the security community. The ideal candidate has significant experience in software engineering, security concepts, and cloud systems.

Vice President of DoD

Company: Oddball

Location: USA

Posted Nov 27, 2025

Oddball seeks a Vice President of DoD with expertise in Air Force programs and modernization efforts, emphasizing mission credibility, product delivery, and collaboration. The role involves translating challenges into software solutions while aligning with federal acquisition processes. The company highlights competitive compensation, remote work flexibility, and commitment to diversity.

Senior AI Engineer - Poe

Company: Quora

Location: USA

Posted Nov 27, 2025

Quora is a remote-first company with a mission to grow the world's collective intelligence. They have two platforms: Quora, a global knowledge sharing platform, and Poe, a platform providing access to various AI language models. They are seeking a talented AI Engineer to join the Poe team and work on cutting-edge applied LLM projects.

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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