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.

Sr ML Engineer - Robotics

Company: Diligent Robotics

Location: Remote

Posted Dec 20, 2025

The text describes a Sr ML Engineer role focused on developing AI for robots, emphasizing collaboration, real-world applications, and technical expertise in machine learning and robotics.

Software Engineer L5 (Networking)

Company: Netflix

Location: USA

Posted Dec 20, 2025

Netflix promotes its global entertainment leadership and Open Connect CDN initiatives, highlighting job opportunities for software engineers with expertise in scalable systems. The company emphasizes diversity, inclusion, and a collaborative culture while detailing compensation structures and hiring practices.

Senior Software Engineer - Markets

Company: Kraken

Location: France,Germany,Spain,UK

Posted Dec 20, 2025

Kraken is a tech company driving sustainable energy innovation, aiming to transform the industry through smart systems and climate-friendly solutions. They seek passionate problem-solvers to shape a greener future.

Senior iOS Engineer - Performance, Stability and Monitoring

Company: Goodnotes

Location: Europe,Asia

Posted Dec 20, 2025

The text describes a Senior iOS Engineer role at Goodnotes, emphasizing performance stability, team collaboration, and user-centric development. It highlights competitive benefits like remote work flexibility, equity, and professional growth opportunities, portraying the company as innovative and employee-focused.

Associate Director - IT Project Manager

Company: Guidehouse

Location: USA

Posted Dec 20, 2025

This job posting describes a senior ServiceNow consultant role with responsibilities including leading IT projects, technical expertise in ServiceNow modules, and managing remote teams. It outlines requirements like 7+ years of experience and a bachelor's degree, along with benefits such as competitive compensation, medical insurance, retirement plans, and professional development opportunities.

Executive Search Lead - Technology

Company: Canonical

Location: EMEA

Posted Dec 20, 2025

Canonical is a leading open-source software provider with a strong global presence, offering exceptional opportunities in innovative tech fields. The company emphasizes a unique hiring process focused on talent science, diversity, and remote-first collaboration, while promoting a culture of excellence and continuous improvement.

AI Enablement Developer

Company: Gcore

Location: Poland,Cyprus,Georgia,Serbia,Lithuania,Germany

Posted Dec 20, 2025

Gcore seeks an AI Enablement Developer to design infrastructure and software for AI-driven solutions. The role involves building resilient AI agents, integrating platforms, and collaborating with tech partners. Benefits include competitive compensation, flexible work, and global impact.

Distributed Systems Engineer (L5) - Data Platform

Company: Netflix

Location: USA

Posted Dec 20, 2025

Netflix's data platforms enable innovative solutions across global operations, supporting diverse teams and fostering growth through cutting-edge technology and open-source contributions.

Technical Director - Internal Game Studio (ISX1)

Company: Netflix

Location: USA

Posted Dec 20, 2025

Netflix is seeking a visionary Technical Director to lead game development for their cloudgaming platform, emphasizing innovation, technical expertise in Unreal Engine 5, and collaboration with cross-functional teams. The role involves building scalable systems, mentoring engineers, and integrating with Netflix's technologies while offering competitive compensation and benefits.

Enterprise Account Executive

Company: MariaDB plc

Location: USA

Posted Dec 20, 2025

MariaDB is making a significant impact globally as a leading database solution, with opportunities for Enterprise Account Executives to drive sales and growth. The role involves managing complex sales cycles, collaborating with customers, and leveraging competitive compensation and benefits.

Software Engineer Intern (Summer 2026)

Company: Dropbox

Location: Poland

Posted Dec 20, 2025

This job posting outlines a Software Engineering Intern role at Dropbox, emphasizing high-impact projects, collaborative environments, and professional development opportunities. It details responsibilities, team matching processes, mentorship programs, and internship timelines for Summer 2026.

Engineering Manager

Company: Gcore

Location: Poland,Serbia,Lithuania,Cyprus,Luxembourg

Posted Dec 20, 2025

This text promotes Gcore's infrastructure and software solutions for AI, cloud, and security, highlighting opportunities to work on global projects with leading technology partners. It emphasizes competitive benefits, flexible work arrangements, and a culture of innovation and growth.

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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