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.

Senior Software Engineer - Clinical CMS

Company: labcorp

Location: USA

Posted Dec 12, 2025

This job posting highlights Labcorp Genetics' mission to advance genetic healthcare through innovative technology. The role requires leadership in developing scalable solutions for genetic testing while offering competitive compensation and comprehensive benefits. The company emphasizes collaboration, professional growth, and impactful work in transforming healthcare through genetic research.

Analytics Engineer (L4) - Ads

Company: Netflix

Location: USA

Posted Dec 12, 2025

Netflix seeks an Analytics Engineer to design metrics and dashboards for their Ads business, offering competitive compensation and comprehensive benefits in a diverse, inclusive culture.

RCMI Senior Solution Technical Expert – Forms & Documentation

Company: Guidehouse

Location: USA

Posted Dec 12, 2025

Guidehouse seeks RCM professionals for Military Health System projects, offering competitive salaries and benefits. Candidates need experience with Oracle/Cerner EHR and public trust clearance. The role involves workflow optimization, data governance, and collaboration with stakeholders.

Human Resources Business Partner

Company: Fortive

Location: USA

Posted Dec 12, 2025

The text describes HR talent management responsibilities including problem-solving, performance management, workforce planning, and manager capability development. It outlines required skills in organizational design, employee relations, and project management, along with experience requirements and technical proficiencies like Oracle HCM systems.

Senior Software Engineer - Platform InfraSec

Company: Grafana Labs

Location: UK

Posted Dec 12, 2025

This remote UK role involves automation and security for Grafana Cloud, requiring collaboration and expertise in Kubernetes, IAM, and cloud security. Growth opportunities and competitive compensation are highlighted, with emphasis on teamwork, learning, and shared ownership in the company's success.

Copywriter

Company: INFUSE

Location: Remote

Posted Dec 12, 2025

The text describes a human-centric hiring process emphasizing personal attention, thorough evaluation, and face-to-face interactions. It highlights the company's commitment to fairness, detail-oriented assessment, and avoiding automated systems to ensure a personalized candidate experience.

Chief of Staff CPG

Company: Levo Naturals

Location: USA

Posted Dec 12, 2025

This job description outlines a Chief of Staff role requiring strategic leadership, operational expertise, and organizational excellence. It emphasizes key qualities like business acumen, resilience, and influence while detailing responsibilities spanning executive support, project management, and cross-functional collaboration. The compensation package includes competitive salary, bonuses, benefits, and equity opportunities.

Instructor Partnerships Manager

Company: Maven

Location: USA

Posted Dec 12, 2025

Maven is a rapidly growing edtech company offering high-impact professional courses with strong engagement metrics and a mission to reinvent postsecondary education. The role of Instructor Partnerships Manager involves acquiring and guiding creators, with competitive compensation and a collaborative remote culture.

Senior Product Manager - Brand Ads & Safety

Company: Reddit

Location: USA

Posted Dec 12, 2025

Reddit seeks a Product Manager to drive brand safety and innovation in ads, offering competitive pay, equity, and comprehensive benefits. The role involves shaping future advertising solutions with cross-functional teams and aligning with business growth goals.

Senior Software Engineer - Platform InfraSec

Company: Grafana Labs

Location: Spain

Posted Dec 12, 2025

This job posting highlights a remote position based in Spain for a Platform InfraSec squad role focused on security automation and decision-making for Grafana Cloud. The role involves collaborating with engineers, working on distributed systems, and contributing to security reviews. It emphasizes growth opportunities, technical expertise in cloud security, and benefits like competitive compensation and RSUs. The company values collaboration, learning, and shared outcomes.

Events Senior Associate

Company: Guidehouse

Location: USA

Posted Dec 12, 2025

This job posting describes a marketing role focused on event management, digital marketing, and business development for the Communities Energy & Infrastructure segment. The position requires experience in event execution, project management, and B2B marketing, with a competitive salary range of $680,000-$1,130,000. The role offers a comprehensive benefits package including medical insurance, retirement plans, and flexible work arrangements.

Human Resources Business Partner

Company: Fortive

Location: USA

Posted Dec 12, 2025

The text describes a job requiring expertise in talent management, leadership, and problem-solving with experience in HR functions, organizational design, and data-driven decision-making.

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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