Machine Learning Jobs

425,594 open positions · Updated daily

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.

Account Executive

Company: ElevenLabs

Location: Japan

Posted Nov 13, 2025

ElevenLabs is a leading audio AI company that has developed humanlike speech technology. They have raised significant funding and achieved a high valuation. The company offers a Creative Platform and Agents Platform powered by proprietary AI models. They are seeking an Account Executive to scale their business in Japan.

SAP PTP VIM Consultant

Company: InPost

Location: Poland

Posted Nov 14, 2025

InPost is a European out-of-home delivery company with a large network of intelligent lockers. They are seeking experienced SAP VIM professionals to design, implement, and develop their systems, as well as provide user training and support.

Learning Experience Designer - ELA & STEM

Company: Newsela

Location: Remote

Posted Nov 14, 2025

The role is for a skilled Learning Experience Designer to develop high-quality English Language Arts instructional content and activities, focusing on creating engaging and pedagogically sound content for diverse learners. The ideal candidate will have experience in curriculum standards, pedagogical best practices, and children's media engagement habits.

Technical Support Engineer

Company: Magnet Forensics

Location: UK

Posted Nov 13, 2025

Magnet Forensics, a global leader in digital forensics, seeks a Technical Support Engineer to join their innovative team. The role involves providing advanced technical support, collaborating with teams, and ensuring customer satisfaction. The company offers competitive compensation, benefits, and a commitment to diversity.

Sales Development Representative

Company: Grafana Labs

Location: USA

Posted Nov 14, 2025

The job description for a Sales Development Representative (SDR) at Grafana Labs highlights the core missions of helping users navigate their Grafana journey, partnering with the sales team to identify new business opportunities, and developing transferable skills. The role involves balancing reactive and proactive work, using AI tools, and collaborating with cross-functional teams. The company values team-first attitude, humility, and continuous learning.

Account Manager – Public Sector Sales

Company: Magnet Forensics

Location: UK

Posted Nov 14, 2025

Magnet Forensics is a global leader in digital investigative software, serving thousands of customers worldwide. The company is expanding its global presence and is looking for an Account Manager to manage and grow new and existing customers. The role involves developing territory plans, prospecting for new clients, conducting marketing lead qualification, preparing presentations, managing product trial lifecycle, maintaining accurate sales records, and conducting ongoing customer needs analysis. The company values care, ownership, dedication, and evolution, and offers a competitive compensation range.

Senior React Native Engineering Services

Company: Newsela

Location: Argentina,Brazil,Mexico,Colombia,Costa Rica,Chile

Posted Nov 14, 2025

The job posting is seeking a skilled Contract Sr Machine Learning Engineer based in Argentina, Brazil, Colombia, Chile, Costa Rica, or Mexico. The role focuses on developing machine learning algorithms, data analysis, and optimizing data pipelines. The ideal candidate should have strong expertise in machine learning, natural language processing, and experience with large-scale data systems. The job also involves building and maintaining a scalable iOS application using React Native, working closely with various teams, and ensuring app store compliance.

Senior Machine Learning Engineer - Core Experience and Growth

Company: Reddit

Location: USA

Posted Nov 14, 2025

The Growth organization at Reddit focuses on connecting users to communities and creating engaging experiences. They are seeking a Senior Machine Learning Engineer to join the team and work on personalizing user experiences, building systems for real-time feature fetching and model inference, and collaborating with product and design partners. The role offers a high impact opportunity to own projects from ideation to production and contribute to the team's strategy.

Senior Automation Analyst - GTM Engineering

Company: HubSpot

Location: Ireland

Posted Nov 14, 2025

HubSpot's Sales Automation Team is seeking a Senior Automation Analyst to design, build, and scale AI-powered automations that improve GTM, increase rep productivity, accelerate pipeline velocity, and unlock new efficiency across the sales motion. The role bridges strategy and execution, requiring strategic thinking, hands-on building, collaboration, and clear communication. The ideal candidate has 3+ years of experience in SaaS automation, RevOps, or adjacent roles, proficiency in iPaaS tools, SQL, and coding, and experience with AI tooling and modern software development practices.

Senior Staff Machine Learning Engineer - Relevance and Personalization

Company: Airbnb

Location: USA

Posted Nov 14, 2025

The text describes a role in Airbnb's Relevance and Personalization team, focusing on shaping the discovery experience for global users. The team works on AI and machine learning projects, collaborating with cross-functional partners to develop solutions for Airbnb's marketplace. The role requires extensive experience in applied ML/AI and strong programming and data engineering skills.

Data Scientist 5 - Title and Launch Management

Company: Netflix

Location: USA

Posted Nov 14, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Merchandising and Content Understanding team aims to enable operational and creative excellence in content distribution and promotion. The team collaborates with partners to launch high-quality content and help members discover content they will love. The job posting is for a data scientist to join the team and develop content understanding signals across all formats to improve the discovery experience on the service.

Sr. GTM Recruiter

Company: Saviynt

Location: USA

Posted Nov 14, 2025

Saviynt's AI-powered identity platform helps organizations manage access and protect digital assets while driving efficiency. The company seeks a GTM Talent Acquisition Partner to recruit top talent, emphasizing innovation, diversity, and growth opportunities in a dynamic tech environment.

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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