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.

Technical Customer Success Manager

Company: Masabi

Location: Remote

Posted Nov 30, 2025

Masabi is a company that drives the fare payment revolution, powering the journeys of millions worldwide. They build fare collection platforms and have partnered with major players in the transport space. The company values customer success and offers a role as a Customer Success Manager to foster exceptional client experiences. Masabi provides a supportive and collaborative work environment with benefits such as competitive salary, paid vacation, private healthcare, and a focus on making a difference in the transportation technology ecosystem.

Customer Success

Company: ElevenLabs

Location: Mexico

Posted Nov 30, 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 a Customer Success professional to support enterprise clients in the Spanish LATAM region.

Principal Machine Learning Engineer - Unified Embeddings

Company: Reddit

Location: USA

Posted Nov 30, 2025

The Unified Embeddings team at Reddit focuses on building advanced multientity large scale embeddings to enhance recommendation systems. They are seeking a Principal Machine Learning Engineer to lead the design and architecture of GNN and transformers based multientity embedding generation, collaborating with cross-functional teams and contributing to product strategy.

Strategic Business Development Lead

Company: Aleph

Location: Remote

Posted Nov 30, 2025

Aleph is an AI-native platform for Financial Planning & Analysis (FP&A) that centralizes financial data and automates reporting, variance analysis, and forecasting. The company was founded by experienced technical founders and is backed by top VCs. Aleph is growing rapidly, with low churn and strong growth, and is hiring a Strategic Business Development Lead to run demos, manage proofs of concept, and engage with senior finance leaders.

Production Manager

Company: ElevenLabs

Location: USA

Posted Nov 30, 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 a Production Manager to oversee language teams and ensure high-quality content creation.

Founding Data Engineer

Company: Elicit

Location: USA

Posted Nov 30, 2025

Elicit is an AI research assistant that helps professionals and decision makers with gathering evidence, reasoning through uncertainty, and increasing good reasoning. The company is hiring a data engineer to build a complete corpus of academic papers and clinical trials, integrate various document types, and broaden the tasks that can be completed in Elicit. The ideal candidate should have 5+ years of experience as a data engineer, strong proficiency in Python, experience with Spark, and strong SQL skills.

Staff AI Engineer

Company: Apollo.io

Location: India

Posted Nov 30, 2025

The job posting describes a Staff AI Engineer role at Apollo, focusing on building and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. The role involves working on critical capabilities such as AI Assistant, Autonomous AI Agents, Deep Research Agents, Conversational Assistant, Semantic Search, Search Personalization, and AI Power Automation features. The mission is to leverage Apollo's massive scale data and cutting-edge AI to understand and predict user behaviors, personalize experiences, and optimize the customer journey through intelligent automation.

Staff Software Engineer - Applied AI

Company: Webflow

Location: USA

Posted Nov 30, 2025

Webflow is building an AI-native Digital Experience Platform to empower teams to design, launch, and optimize websites without barriers. They are seeking a Staff Software Engineer to join their Applied AI team to develop generative AI-powered features that enhance speed, creativity, and quality in website building and design. The role involves collaborating with product, engineering, and design teams to identify and implement AI solutions that improve the user experience.

Senior Software Engineer, Cross-platform Toolchain

Company: Goodnotes

Location: Asia

Posted Nov 30, 2025

This job posting highlights a compiler engineer role at Goodnotes, emphasizing cross-platform development with Swift and LLVM. The position offers opportunities to contribute to web technology advancements, flexible work arrangements, and professional growth. Benefits include equity, remote work flexibility, and sponsored office visits.

Senior Engineering Manager - Unified Embeddings Platform

Company: Reddit

Location: USA

Posted Nov 30, 2025

This job description highlights a Senior Engineering Manager role at Reddit, focusing on leading the embeddings platform, collaborating with cross-functional teams, and offering comprehensive benefits including healthcare, equity, and flexible work arrangements.

Senior Software Engineer

Company: Leonardo.Ai

Location: Australia

Posted Nov 30, 2025

LeonardoAi seeks a Senior Backend Engineer to join their innovative team, offering impactful work, flexible environments, and growth opportunities in a collaborative AI-driven environment.

Sales Development Representative (Outbound/Enterprise)

Company: Sanity

Location: Norway,Denmark,Sweden,Finland

Posted Nov 30, 2025

Sanity.io is an AI-powered content operating system that helps companies like SKIMS, Figma, and Nordstrom automate and streamline their content operations. The company is looking for a Sales Development Representative (SDR) to join their team in the Nordics region. The SDR will be responsible for engaging with prospects, qualifying leads, collaborating with cross-functional teams, and shaping the sales playbook. Sanity.io offers a competitive salary, stock options, and a positive work 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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