Machine Learning Jobs

Positions 425,970 Updated daily

Machine learning is reshaping industries from finance to healthcare. Demand for talent spikes as companies adopt predictive analytics, automated underwriting, and personalized medicine. Data‑driven product teams need engineers who can translate theory into scalable solutions using TensorFlow, PyTorch, or AWS SageMaker.

Within the field you’ll find roles such as ML Engineer, responsible for productionizing models, Data Scientist building prototypes, Research Scientist pushing algorithmic frontiers, ML Ops Engineer focusing on CI/CD pipelines, and AI Product Manager bridging tech and business. Typical duties include feature engineering, model training, hyper‑parameter tuning, model monitoring, and collaborating with data engineers to maintain data pipelines.

Salary transparency is vital for ML professionals because the field’s rapid evolution creates pay disparities across domains. Knowing the market range for a TensorFlow‑based model deployer in New York versus a research scientist in Seattle helps candidates negotiate realistic offers, assess equity and bonus structures, and prevent skill‑based wage gaps.

Engineering Manager

Company: Pitchup.com

Location: Remote

Posted Dec 11, 2025

Pitchup seeks an Engineering Manager to lead software development, foster collaboration, and drive product excellence. The role offers competitive salaries, remote work, and a dynamic environment with global reach.

Senior Data Engineer

Company: Loka, Inc

Location: Remote

Posted Dec 11, 2025

Loka seeks a Senior Data Engineer to join their global team, offering opportunities to work on innovative projects, remote flexibility, and career growth. The role involves designing scalable data solutions and collaborating with cross-functional teams, while the company emphasizes mission-driven work and a supportive culture.

IBM Chile 2025 Future Club - Sales Internship

Company: IBM

Location: SANTIAGO DE CHILE, CL

Posted Dec 12, 2025

IBM's Future Club internship offers technical training and collaboration opportunities for students, emphasizing career growth and impactful client solutions through innovative approaches and experiential learning.

Full Stack Software Engineer (L5) - Game Developer Tools

Company: Netflix

Location: USA

Posted Dec 11, 2025

Netflix is hiring for a Games Developer Tools Engineer role, detailing responsibilities, qualifications, and company culture. The position emphasizes fullstack development, developer tools, and end-to-end ownership. The company highlights diversity and inclusion, with a compensation structure based on annual salary.

Junior IBM Cloud Kubernetes Platform Engineer

Company: IBM

Location: BUDAPEST, HU

Posted Dec 12, 2025

The text highlights IBM Cloud's growth in Kubernetes and OpenShift platforms, emphasizing opportunities for skilled developers to contribute to a globally impactful platform. It outlines role requirements, collaboration with teams, and the importance of technical expertise in containerization, networking, and automation tools.

PPC Specialist (Google Ads Focus)

Company: GrowthAssistant

Location: Philippines

Posted Dec 11, 2025

The job posting seeks a PPC Specialist with Google Ads experience to optimize campaigns and support client operations. It highlights a great opportunity to work with a well-known brand, offering benefits like work from home, bonuses, and health insurance. Responsibilities include campaign optimization, analytics monitoring, and SEO practices, with requirements such as 3+ years of experience and SEMRush proficiency.

AI Engineer for Client Engineering FSM

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

This text outlines the role of an AI Engineer focusing on developing AI solutions, collaborating with cross-functional teams, optimizing performance, engaging with clients, and continuous learning. It emphasizes career growth, technical expertise, and contributing to successful AI implementations.

Managing SuccessFactors Consultant - Learning

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, opportunities for growth, and impactful work in hybrid cloud and AI. It highlights leadership roles, technical expertise in SAP, and a supportive culture focused on innovation and professional development.

Senior Backend Software Engineer

Company: The Zebra

Location: Remote

Posted Dec 11, 2025

The Zebra is seeking a Senior Software Engineer to join their inclusive, growth-oriented team in Austin. The role involves developing scalable solutions, collaborating with cross-functional teams, and contributing to innovative insurance comparison tools. The company emphasizes flexibility, professional development, and competitive benefits including equity, health coverage, and unlimited PTO.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

This job description highlights a Software Developer role at IBM Consulting, focusing on hybrid cloud and AI solutions. Responsibilities include feature development, stakeholder collaboration, and continuous learning. Required skills involve Java, React, and cloud technologies like AWS.

Application Developer-Cloud FullStack

Company: IBM

Location: Pune, IN

Posted Dec 12, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, requiring technical expertise in Java, React, and cloud platforms. It emphasizes innovation, stakeholder collaboration, and continuous learning.

Java Fullstack Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

The text describes IBM's AI and data platform capabilities, emphasizing hybrid cloud solutions and opportunities for a Java Fullstack Developer with 10-15 years of experience. It outlines responsibilities including React UI development, MCP server design, API architecture, and container orchestration, while highlighting required skills in Java, Reactjs, and Agile methodologies.

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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