Machine Learning Job Salaries

Find salary information for remote positions requiring Machine Learning skills. Make data-driven decisions about your career path.

Machine Learning

Median high-range salary for jobs requiring Machine Learning:

$220,000

This analysis is based on salary ranges collected from 367 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $160,000 - $220,000

25% of job descriptions advertised a maximum salary above $259,000.
5% of job descriptions advertised a maximum salary above $352,433.6.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include PyTorch, Algorithms and Tensorflow. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

PyTorch
26% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $175,000 - $234,000
- 25% of job descriptions advertised a maximum salary above $280,450.
- 5% of job descriptions advertised a maximum salary above $369,845.
Algorithms
26% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $165,000 - $227,500
- 25% of job descriptions advertised a maximum salary above $282,250.
- 5% of job descriptions advertised a maximum salary above $364,888.5.
Tensorflow
24% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $170,000 - $225,500
- 25% of job descriptions advertised a maximum salary above $277,500.
- 5% of job descriptions advertised a maximum salary above $364,254.
AWS
32% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $160,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $260,450.
- 5% of job descriptions advertised a maximum salary above $345,239.7.
Communication Skills
28% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $161,000 - $220,000
- 25% of job descriptions advertised a maximum salary above $251,225.
- 5% of job descriptions advertised a maximum salary above $363,729.3.
Data Analysis
35% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $159,100 - $219,250
- 25% of job descriptions advertised a maximum salary above $266,800.
- 5% of job descriptions advertised a maximum salary above $366,528.6.
Python
65% jobs mention Python as a required skill. The Median Salary Range for these jobs is $160,000 - $217,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $323,800.
Artificial Intelligence
26% jobs mention Artificial Intelligence as a required skill. The Median Salary Range for these jobs is $155,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $261,700.
- 5% of job descriptions advertised a maximum salary above $341,670.
SQL
40% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $157,850 - $207,932.5
- 25% of job descriptions advertised a maximum salary above $247,000.
- 5% of job descriptions advertised a maximum salary above $322,700.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Advertising, Fintech and Healthcare. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Advertising
1% jobs are in Advertising industry. The Median Salary Range for these jobs is $230,000 - $322,000
- 25% of job descriptions advertised a maximum salary above $359,800.
- 5% of job descriptions advertised a maximum salary above $372,400.
Fintech
1% jobs are in Fintech industry. The Median Salary Range for these jobs is $169,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $230,625.
- 5% of job descriptions advertised a maximum salary above $240,000.
Healthcare
3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $158,300 - $218,500
- 25% of job descriptions advertised a maximum salary above $268,750.
- 5% of job descriptions advertised a maximum salary above $310,150.
Healthcare Technology
2% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $150,000 - $218,500
- 25% of job descriptions advertised a maximum salary above $225,250.
- 5% of job descriptions advertised a maximum salary above $281,800.
Software Development
19% jobs are in Software Development industry. The Median Salary Range for these jobs is $160,000 - $218,000
- 25% of job descriptions advertised a maximum salary above $259,250.
- 5% of job descriptions advertised a maximum salary above $366,801.3.
AdTech
1% jobs are in AdTech industry. The Median Salary Range for these jobs is $180,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $252,825.
- 5% of job descriptions advertised a maximum salary above $267,100.
Financial Services
1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $124,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $263,750.
- 5% of job descriptions advertised a maximum salary above $275,000.
AI and machine learning
1% jobs are in AI and machine learning industry. The Median Salary Range for these jobs is $140,000 - $180,000
- 25% of job descriptions advertised a maximum salary above $305,000.
- 5% of job descriptions advertised a maximum salary above $400,000.
Artificial Intelligence
6% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $112,500 - $175,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $455,000.
AI observability and evaluation
1% jobs are in AI observability and evaluation industry. The Median Salary Range for these jobs is $100,000 - $150,000
- 25% of job descriptions advertised a maximum salary above $195,000.
- 5% of job descriptions advertised a maximum salary above $210,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Autonomous Racing Engineer — Internship

Posted about 6 hours ago

📍 Bremen (GER), Sofia (BG), Belgrade (SRB), Singapore (SGD)

🧭 Internship

💸 13.0 - 20.0 EUR per hour

🔍 Software Development

🏢 Company: Constructor TECH

🔧 Requirements

Pursuing or recently completed a degree in Computer Science, Robotics.
Experience in Python & C++ (at least beginner level).
Familiarity with ROS (Robot Operating System) and Ubuntu/Linux.
Basic knowledge of Docker & containerization.
Strong problem-solving skills, and ability to work in a fast-paced environment.

💡 Responsibilities

Develop and integrate sensor fusion techniques to combine data from LiDAR, cameras, and radar.
Implement object detection and tracking algorithms for real-time racing scenarios.
Optimize environment perception pipelines to enhance situational awareness.
Design path-planning algorithms for high-speed autonomous racing (local, global, and strategic).
Implement obstacle avoidance techniques for dynamic race conditions.
Develop decision-making models for overtaking, lane selection, and collision avoidance.
Work on vehicle dynamics modelling and system identification for high-performance control.
Develop motion control algorithms to optimize steering, braking, and acceleration.
Implement stabilization techniques to enhance racing precision and safety
Develop real-time autonomous racing software in Python and C++.
Optimize software for low-latency execution on high-performance computing platforms.
Contribute to system integration and improve overall software architecture.
Utilize ROS and Ubuntu for seamless communication between software modules.

Docker Python Embedded Systems Image Processing Machine Learning C++Algorithms Data Structures REST API Computer skills Software Engineering

Posted about 6 hours ago

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🔥 Senior Engineering Manager, Core Platforms

Posted about 11 hours ago

📍 United States

🧭 Full-Time

💸 175500.0 - 277500.0 USD per year

🔍 Software Development

🔧 Requirements

Proven expertise in full-stack development with deep specialization in frontend technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js).
Experience leading engineering teams of 10+ people, with a focus on mentorship, collaboration, and technical leadership.
A track record of driving product innovation and successfully transforming complex ideas into scalable solutions.
Strong problem-solving, communication, and cross-functional collaboration skills in a fast-paced, iterative environment.
Hands-on experience applying AI/Gen AI concepts, integrating ML models into applications, and working with LLMs. Experience with agentic platforms is a plus!

💡 Responsibilities

Full-Stack Leadership: Leverage your frontend expertise (React, Angular, or Vue.js) and robust backend knowledge to build and maintain scalable, high-performance services.
Architectural Excellence: Design resilient, cloud-native architectures, including microservices and data pipelines, for high availability and scalability using AWS, GCP, or Azure.
Product Innovation & Rapid Prototyping: Drive product transformation by identifying opportunities for innovation, creating prototypes, and iterating quickly toward customer-ready solutions.
Software Lifecycle Management: Implement CI/CD pipelines for model training, deployment, monitoring, and versioning, ensuring seamless production rollouts and model observability.
AI & Machine Learning Integration: Collaborate with ML experts to embed AI/Gen AI capabilities, including LLMs, into our products to enhance intelligence and user value.
Tech Trend Awareness: Stay ahead of emerging AI/ML trends (e.g., prompt engineering, transformer architectures) and promote continuous learning within the team.
Team Leadership & Growth: Build and lead a high-performing technical team, fostering collaboration, mentorship, and engineering excellence.
Cross-functional collaboration: Work closely with product, data science, design, and ML teams to deliver features based on A/B testing, user feedback, and analytics.

AWS Backend Development Leadership Cloud Computing Design Patterns Frontend Development Full Stack Development GCP Machine Learning React.js Software Architecture Vue.Js Cross-functional Team Leadership API testing Azure Data engineering Angular Communication Skills Collaboration CI/CD Problem Solving RESTful APIs Mentoring Microservices Team management Prototyping Software Engineering

Posted about 11 hours ago

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🔥 Staff Technical Enablement Specialist

Posted about 11 hours ago

📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data/AI

🏢 Company: Databricks👥 1001-5000💰 $684,559,082 Series I over 1 year agoArtificial Intelligence (AI)Machine Learning Analytics Information Technology

🔧 Requirements

7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
Experience in technical pre-sales roles, building proofs-of-concept, or implementing technical solutions for customers (Preferred)
Databricks certification or experience with Apache Spark™, MLflow, Delta Lake, and other open-source technologies (Preferred)

💡 Responsibilities

Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWS Project Management Python SQL Cloud Computing Data Analysis ETL GCP Machine Learning MLFlow Apache Kafka Azure Data engineering REST API Communication Skills Collaboration CI/CD Problem Solving Mentoring Presentation skills Training Data visualization Stakeholder management Strategic thinking Data modeling Customer Success

Posted about 11 hours ago

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🔥 Graduate PhD (Summer) Intern – Multi-Fidelity Simulation Optimization

Posted about 24 hours ago

📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Experience with numerical and/or stochastic optimization.
Previous experience in using high performance computing (HPC) tools.
Deep knowledge of probability and/or stochastic processes, e.g. Markov Chain.
Only current PhD students will be considered for this position.

💡 Responsibilities

Implement multi-fidelity simulation oracles for transportation systems.
Enhancing existing software by adding solvers and functionalities for testing various simulation optimization methods with multi-fidelity stochastic oracles.
Performing numerical analysis to fairly compare solvers in the presence of stochastic noise.

Python Data Analysis Machine Learning Algorithms

Posted about 24 hours ago

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🔥 Graduate PhD Summer Intern – AI/ML Software Developer

Posted about 24 hours ago

📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Only current PhD students will be considered for this internship.
Experience in deep learning models, Bayesian neural networks, graph neural network models, and probabilistic semantic graphs.
Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems.
Demonstrated experience in programming languages such as Python and MATLAB.
Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.

💡 Responsibilities

Develop sensor placement and optimization software tools for modern distribution power systems integrated with clean energy resources such as Photovoltaics, batteries, EV Charging Stations, and electric vehicles.
Contribute to the development of deep learning models such as Bayesian neural networks, graph neural networks, probabilistic semantic graphs, and Generative AI to detect anomalies such as missing data, bad data, and communications failure in sensor data.
Development of data driven forecasting and disaggregation models and validation of both centralized and distributed state estimation algorithms.

Python Git Machine Learning Matlab Numpy Tensorflow

Posted about 24 hours ago

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🔥 Manager, Financial Data, Planning & Analytics

Posted 1 day ago

📍 Canada

💸 104000.0 - 121600.0 CAD per year

🔍 SaaS, telecommunications, or high-growth industry

🏢 Company: Tucows👥 1001-5000💰 $240,000,000 Post-IPO Debt over 1 year ago🫂 Last layoff 4 months agoEmail Web Hosting Domain Registrar Mobile ISP

🔧 Requirements

6+ years of experience in financial planning, analysis, and financial systems transformation.
2+ years in management roles overseeing FP&A processes and people.
Strong proficiency in financial modeling, data analysis, and financial automation tools.
Experience with ERP systems (e.g., Sage Intacct, NetSuite) and BI tools (e.g., Looker, Tableau, Power BI).
Proven ability to automate financial processes, integrate AI-driven tools, and optimize financial reporting structures.
Strong leadership skills with experience in fostering collaboration across finance and operational teams.
Excellent oral, written, and visual communication skills, with the ability to present financial findings to executive leadership.

💡 Responsibilities

Lead and own the annual budgeting and planning cycle, ensuring coordination across all business unit finance teams.
Maintain and improve forecasting processes, including quarterly forecasting and continuous planning methodologies.
Develop the company’s long-term financial forecast and financial models to support strategic decision-making.
Drive the modernization of financial systems and reporting infrastructure to enhance efficiency, automation, and AI-driven analytics.
Oversee the administration, optimization, and integration of financial systems (e.g., ERP, BI tools, planning software) to improve data flow and usability.
Partner with IT and finance teams to implement AI-driven automation and machine learning algorithms to enhance financial forecasting and decision-making.
Assess and optimize financial processes and technology, identifying automation opportunities and ensuring scalability.
Develop and maintain management reporting, dashboards, and KPIs to analyze business performance, including variances to budget, forecast, and prior periods.
Prepare financial reports and dashboards for executive management, leveraging AI-powered insights and automated reporting tools.
Support Board and Audit Committee presentations, ensuring data accuracy, KPI performance tracking, and financial analysis.
Leverage financial insights to contribute to quarterly and annual management discussions and regulatory filings (e.g., 10K and 10Q reporting).
Act as a strategic finance business partner to corporate leadership, helping shape financial strategy and operational efficiency.
Lead monthly variance analysis, collaborating directly with operational management and executives to identify and resolve budget discrepancies.
Provide decision-support analysis for business and procurement decisions, leveraging financial data and market insights.
Research broader economic trends and incorporate findings into financial modeling and forecasting.

SQL Data Analysis Machine Learning Financial Management API testing Accounting Budgeting Data visualization Financial analysis Data modeling Budget management

Posted 1 day ago

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🔥 Weekend Primary Care Physician, NY-100% Remote

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 250000.0 - 312000.0 USD per year

🔍 Healthcare

🏢 Company: K Health👥 101-250💰 $88,356,397 8 months agoArtificial Intelligence (AI)mHealth Primary and Urgent Care Mobile Apps Information Technology Health Care

🔧 Requirements

3+ years of post residency work experience
Active NY state medical license, IMLC preferred
Board-Certified in Family or Internal Medicine
Acute care experience
Should be tech-savvy, proactive, organized, detail-oriented, and have telemedicine experience
Clean background and medical malpractice history
Willing to work weekend hours, 36 per week, (7a-7p Sat & Sun, +1 weekday)

💡 Responsibilities

Work regular weekend day shifts (7a-7p Sat & Sun, +1 weekday)
Provide text-based and video-based, comprehensive clinical care that encompasses Acute Care
Treat patients on demand within an acute care virtual setting
Educate patients on appropriate treatments and care plans for their health needs
Prescribe medication and refills as appropriate
Drive high quality care with a focus on patient outcomes
Elevate remote care; provide compassionate and meaningful care

Artificial Intelligence Cloud Computing Data Analysis Javascript Machine Learning User Experience Design Communication Skills Written communication

Posted 1 day ago

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🔥 Senior Director, Game Security

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 189520.0 - 350516.0 USD per year

🔍 Game Security

🔧 Requirements

5+ years of experience as a Director or equivalent leadership role, ideally in game security or anti-cheat.
Track record of establishing and driving strategic vision and execution.
Experience leading large, cross-functional Engineering teams.
Experience with Game Development, particularly in Live Services.
A degree in Computer Science, Cybersecurity or a related field, or equivalent experience.
Deep knowledge of the game cheat market and strategies employed by cheat software.
Familiarity with reverse engineering, machine learning based anti-cheat strategies, Windows kernel development, client obfuscation techniques, etc., all a plus.

💡 Responsibilities

Lead a cross-functional team focused entirely on anti-cheat for Call of Duty.
Have a deep understanding of the cheat software market and develop strategies for defending competitive integrity and our players.
Be aware of emerging new technologies employed by cheat software and position our technology to be proactive in defending against it.
Have a data-driven mindset and focus on increasing overall observability across all anti-cheat processes and operations.
Create a forward-looking plan on future investments and create a holistic hiring strategy for the future.
Build relationships with technical leaders across the organization to share knowledge and inform on attack vectors in an effort to harden the overall Call of Duty engine against cheating.
Improve operational effectiveness of the team by assessing the current pipelines and procedures and incorporating new strategies.
Develop and improve a consistent outward communication pipeline on metrics, progress, and trends being observed in the anti-cheat space.
Promote a culture of open knowledge sharing and inclusion.

Leadership Project Management Software Development Cybersecurity Data Analysis Game Design Game Development Machine Learning People Management C++Cross-functional Team Leadership Communication Skills Reporting Strategic thinking

Posted 1 day ago

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🔥 Senior Software Engineer (FTC)

Posted 1 day ago

📍 UK

🧭 Contract

💸 130000.0 - 170000.0 USD per year

🔍 Software Development

🏢 Company: Public Library of Science

🔧 Requirements

Significant professional software engineering experience gained in a full-stack environment, ideally with experience using Google Cloud, Python, React, Kubernetes, BigQuery, or similar modern technologies.
Hands-on experience developing, shipping, operating, and/or maintaining consumer and/or enterprise web applications.
Demonstrated passion for delivering testable, instrumented, and reliable code.
Strong track record of using and improving agile software development and related design practices.
Deep understanding and experience of at least one server-side language
Expertise in cloud-native architectures.
Expertise in data pipelines preferred.
Expertise in event-driven architectures preferred.
Expertise in machine learning and machine learning pipelines preferred.
Solid foundation in secure coding practices.
Solid understanding of client-side technology (CSS/HTML/JS)
Experience with continuous delivery methods and technologies.
Experience with using data to inform development decisions.
Ability to collaborate with a variety of functions, personalities and cultures.
Ability to actively listen, ask the right questions and see the underlying meaning in what’s being said and not said.
Flexible and open minded. Energy and enthusiasm for learning.
Problem solving in multiple domains. Resilient, proactive and creative.
Ability to pick up new techniques and technologies quickly.
Pragmatic while maintaining an attention to detail.
Self-directed and capable of working under minimal supervision.

💡 Responsibilities

Contribute designs, code, tests, code reviews, and excellent judgement towards the development and continuous improvement of our digital platforms.
Participate in agile ceremonies and evolving development practices of the team.
Contribute to the overall platform architecture
Ensure new work is delivered in alignment with said architecture
Establish and support development processes
Provide stewardship of the long-term sustainability of our platform and actively manage platform health and technical debt

Backend Development Python Agile Cloud Computing Full Stack Development GCP Git HTML CSS Javascript Kubernetes Machine Learning Software Architecture REST API React Software Engineering

Posted 1 day ago

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🔥 Staff Machine Learning Engineer, Bidding and Pacing

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 230000.0 - 322000.0 USD per year

🔍 Software Development

🔧 Requirements

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners is required.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar
Data processing frameworks like Spark, Flink, Kafka, Druid, etc.
A cloud service provider like AWS or GCP
Tools: Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift
Datastores: ElasticSearch / Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery
An machine learning modeling framework like Tensorflow or PyTorch

💡 Responsibilities

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.

AWS Docker Leadership PostgreSQL Python SQL Cloud Computing Data Analysis ElasticSearch GCP Java Kubernetes Machine Learning PyTorch Cross-functional Team Leadership Algorithms Cassandra Data Structures REST API Redis Tensorflow Scala Data modeling A/B testing

Posted 2 days ago

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Shown 10 out of 485

Machine Learning Job Salaries

Median high-range salary for jobs requiring Machine Learning:

Skills and Salary

PyTorch

Algorithms

Tensorflow

AWS

Communication Skills

Data Analysis

Python

Artificial Intelligence

SQL

Industries and Salary

Advertising

Fintech

Healthcare

Healthcare Technology

Software Development

AdTech

Financial Services

AI and machine learning

Artificial Intelligence

AI observability and evaluation

Jobs