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.

2026 Intern – IBM Product Marketing (Austin, TX)

Company: IBM

Location: Austin, US

Posted Dec 18, 2025

This internship at IBM offers opportunities to work on innovative projects in hybrid cloud and AI, with a focus on collaboration, creativity, and impactful marketing strategies. The role includes mentorship, leadership exposure, and a chance to showcase work to senior leaders.

Sr. Director - Design, Consumer

Company: Kraken

Location: USA

Posted Dec 18, 2025

The text promotes Kraken's mission to accelerate crypto adoption and financial freedom through innovation, highlighting their global team, industry-leading security, and commitment to crypto education. It emphasizes opportunities for design leadership and collaboration across key product areas like trading, payments, and equities, while showcasing the company's culture of mission-driven excellence.

Customer Support Engineer

Company: Snowplow Analytics

Location: Remote

Posted Dec 18, 2025

Snowplow seeks a Customer Support Engineer in Colombia, offering remote work, AI tech engagement, and a competitive package. The role involves technical support, problem-solving, and working with global teams. Benefits include flexible hours, home office equipment, and career growth opportunities in a mission-critical role.

Enterprise Account Executive

Company: ElevenLabs

Location: Remote

Posted Dec 18, 2025

ElevenLabs is a leading audio AI company with significant growth and innovative offerings. They seek an Enterprise Account Executive to drive expansion, emphasizing impact and AI-driven solutions.

Staff Application Engineer - Workplace Technology

Company: Mozilla

Location: Canada

Posted Dec 18, 2025

Mozilla's mission to improve the internet through innovation in AI and security. They seek a Staff Software Engineer to build scalable systems, with competitive benefits and a focus on open-source collaboration.

Network Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 18, 2025

IBM Consulting offers roles in cloud and AI innovation, emphasizing collaboration, technical expertise, and career growth through global client partnerships and continuous learning.

Staff Application Engineer - Workplace Technology

Company: Mozilla

Location: UK,Canada

Posted Dec 18, 2025

Mozilla's job posting highlights a Staff Software Application Engineer role with focus on AI and workplace tech, offering competitive benefits and emphasizing diversity and innovation.

Group Manager- Transition

Company: IBM

Location: BANGALORE, IN

Posted Dec 18, 2025

This text describes a career opportunity at IBM Consulting focusing on global client collaboration, digital transformation, and innovation through agile methodologies and AI. It emphasizes career growth, strategic partnerships, and impactful work across industries.

Java Developer (HS)

Company: IBM

Location: Leicester, GB

Posted Dec 18, 2025

IBM CIC offers career growth, training, and a collaborative environment with opportunities for innovation and professional development.

2026 Intern:  Research Scientist – AI-powered Automation

Company: IBM

Location: Multiple Cities

Posted Dec 18, 2025

IBM Research seeks interns to advance AI and foundation models, emphasizing innovation, collaboration, and expertise in areas like NLP, edge AI, and machine learning. The role requires strong technical skills and a passion for impactful research.

Software Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 18, 2025

This job description highlights a role in IBM's Finance & Operations team, focusing on backend development, collaboration, and innovation. It emphasizes career growth, technical expertise, and contributions to business transformation through technology and process excellence.

Apptio - Digital Sales Specialist

Company: IBM

Location: Austin, US

Posted Dec 18, 2025

The text promotes IBM's Global Sales role, emphasizing collaboration, innovation, career growth opportunities, and the impact of solving complex business challenges. It highlights required skills and the potential for professional development in a dynamic environment.

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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