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.

Staff - Software Engineer (L4)

Company: Twilio

Location: USA

Posted Dec 15, 2025

Twilio seeks a Staff Software Engineer for their Data Substrate team, focusing on scalable data solutions and mentoring. Requirements include expertise in distributed systems and big data technologies. The role is remote, with competitive compensation and benefits.

Senior Software Developer - Marketing

Company: Jane App

Location: Canada

Posted Dec 15, 2025

This job posting highlights Jane's mission to simplify healthcare through technology, offering remote work flexibility, growth opportunities, and a collaborative culture. The role emphasizes impact on healthcare professionals' lives, with competitive compensation and a focus on innovation and inclusivity.

Lead Site Reliability Engineer

Company: Masabi

Location: Canada

Posted Dec 15, 2025

Masabi seeks a Lead Site Reliability Engineer to drive global infrastructure scalability, using AWS and cloud-native tools. The role emphasizes automation, reliability, and collaboration, with competitive benefits and a mission to simplify public transport.

Staff Engineer - Ads Privacy

Company: Reddit

Location: USA

Posted Dec 15, 2025

The text describes a Staff Engineer role at Reddit's Ads Privacy team, emphasizing opportunities to build technical infrastructure for privacy compliance and scalable data solutions. It highlights collaboration across teams, mentorship, and benefits like healthcare, equity, and flexible work arrangements.

Staff Engineer - Site Reliability

Company: Zapier

Location: North America

Posted Dec 15, 2025

Zapier is hiring a Staff Site Reliability Engineer with expertise in observability and AI integration. The role emphasizes defining reliability strategies, mentoring teams, and fostering a culture of engineering excellence. The company promotes diversity, inclusion, and transparency in its hiring process while highlighting its commitment to automation and customer security.

Operations Buyer

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

IBM Finance & Operations drives efficiency and innovation, offering career growth in a collaborative global environment.

Application Developer-Microsoft Power Platform

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients on hybrid cloud and AI projects. Responsibilities include software development, problem-solving, and Agile learning, with requirements for Microsoft Power Platform expertise and experience in custom app development.

Package Specialist-Oracle Business Analytics

Company: IBM

Location: Mumbai, IN

Posted Dec 16, 2025

This job description outlines a Consultant role at IBM Consulting, involving software development for hybridcloud and AI initiatives, with responsibilities spanning the software development lifecycle. Required qualifications include a bachelor's degree, experience with database migration, API integration, and continuous learning, along with preferred skills in risk management and quality assurance.

Senior Backend Software Engineer

Company: Bud Financial

Location: UK

Posted Dec 15, 2025

Bud's mission is to create compelling financial data products. As a Backend Engineer, you'll work with Go, modern tools, and a collaborative team. Benefits include competitive salaries, learning budgets, and flexible working. The company values diversity and innovation.

Finance Manager

Company: ReFED

Location: USA

Posted Dec 15, 2025

ReFED is a US-based nonprofit dedicated to reducing food waste through evidence-based solutions and innovative tools. The Finance Manager role involves managing financial processes, grant reporting, and supporting organizational growth. The position emphasizes transparency, inclusivity, and alignment with ReFED's mission to create a sustainable food system. The company offers competitive compensation, professional development opportunities, and a flexible work environment.

Optium Software Developer Support Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

The text describes a Customer Support Engineer role for IBM InfoSphere Optim, emphasizing technical support, problem-solving, collaboration with global teams, and contributing to customer satisfaction. It highlights the importance of the role in data management and the opportunity for professional growth.

Spark Cluster Admin

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

This job description highlights a senior role in Spark cluster administration with opportunities for growth and collaboration. The position emphasizes technical expertise in Apache Spark, OpenShift, and DevOps practices, along with career development through onboarding and continuous learning. IBM's focus on innovation and digital transformation is presented as a key driver for success.

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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