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.

ServiceNow Business Analyst

Company: Guidehouse

Location: USA

Posted Dec 14, 2025

This job posting highlights a Software Development and Support role requiring a Secret clearance, with responsibilities including ServiceNow project leadership, technical collaboration, and process improvement. The position offers competitive compensation ($92,000-$153,000), a comprehensive benefits package, and opportunities for professional growth. It emphasizes teamwork, technical expertise, and alignment with federal regulations and innovation.

HR Operations Specialist

Company: Innovecs

Location: Ukraine

Posted Dec 13, 2025

The job posting highlights an HR Operations Specialist role with opportunities to work at a global tech company offering flexible hours, competitive compensation, comprehensive benefits, and a collaborative work culture. The company emphasizes innovation, employee growth, and recognition in industry rankings.

Regulatory Food Scientist IV

Company: Guidehouse

Location: USA

Posted Dec 13, 2025

This job posting seeks a highly qualified professional for an IT Project Management role with the FDA, requiring a PhD and extensive experience in food safety assessment. The position offers a competitive salary range of $13000000-$21600000 and comprehensive benefits including medical insurance, retirement plans, and professional development opportunities.

Data Analyst - Growth

Company: Kraken

Location: USA

Posted Dec 13, 2025

Kraken is hiring a Data Analyst to drive growth through data-driven insights, focusing on mission alignment, technical expertise, and global impact. The role emphasizes strategic thinking, cross-functional collaboration, and contributing to industry-leading security and crypto education initiatives.

Staff Machine Learning Engineer - Quora

Company: Quora

Location: USA

Posted Dec 13, 2025

Quora, a remote-first company, seeks a Machine Learning engineer to enhance recommendation systems and AI platforms. The role offers impactful work on global projects with competitive benefits, emphasizing diversity and innovation in a collaborative environment.

Data Analyst - Product

Company: Kraken

Location: USA

Posted Dec 13, 2025

Kraken is seeking a Data Analyst Product to join their mission-focused team, emphasizing crypto values, global adoption of cryptocurrency, and industry-leading security. The role involves data-driven decisionmaking, cross-functional collaboration, and developing tools for product performance insights. Applicants must demonstrate expertise in data analysis, SQL, Python, and a passion for crypto, with opportunities for remote work across 70+ countries.

G&A Recruiter

Company: GitLab

Location: USA

Posted Dec 13, 2025

This job description outlines a GampA Recruiter role at GitLab, emphasizing strategic hiring, global team collaboration, and managing recruitment processes. The position requires experience in tech environments, global hiring expertise, and adaptability to organizational changes. It highlights a fully remote work setup with asynchronous collaboration and structured processes.

Senior Software Engineer - Quora, Ads

Company: Quora

Location: USA

Posted Dec 13, 2025

Quora seeks an engineer to join their Ads team, focusing on data-driven ad platforms. The role involves building scalable systems for advertisers, with benefits like remote work and competitive salaries. The company emphasizes diversity, innovation, and global impact through its mission to grow collective intelligence.

Tech Lead

Company: Nearform

Location: USA

Posted Dec 13, 2025

This job posting highlights a permanent Senior Python Software Engineer role with remote work flexibility, competitive salary, and comprehensive benefits. The position requires travel to client sites but offers a collaborative environment with opportunities for professional growth. Nearform emphasizes innovation, technical excellence, and a supportive work culture.

Senior Channel Account Manager (Technology Alliances)

Company: Cobalt

Location: USA

Posted Dec 13, 2025

Cobalt, a cybersecurity company, seeks a Senior Channel Account Manager to expand partnerships and drive revenue. The role involves managing tech alliances, developing strategies, and offering competitive compensation, benefits, and growth opportunities.

Social Media Manager

Company: Gratitude Driven LLC

Location: Anywhere

Posted Dec 13, 2025

This job description seeks a Social Media Manager to build a creator brand focused on mindset and productivity content. The role involves strategy development, content creation, analytics, and community engagement across platforms like TikTok, Instagram, and YouTube. The employer emphasizes growth potential, flexibility, and collaboration while valuing creativity, punctuality, and detail-oriented work.

New Business Account Executive - Central (Commercial)

Company: GitLab

Location: USA

Posted Dec 13, 2025

This role at GitLab focuses on new business development, expanding market presence, and building relationships with high-growth companies. The position involves managing the sales cycle, collaborating with cross-functional teams, and contributing to the company's revenue growth 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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