Machine Learning Jobs

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Machine Learning
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πŸ“ US

🧭 Fulltime

πŸ’Έ 230000.0 - 270000.0 USD per year

πŸ” Web3, NFT marketplace, Bitcoin dApp

🏒 Company: Magic Eden

  • 8+ years of experience in data science, analytics, and business intelligence with at least 3+ years leading high-performing data teams.
  • Experience in a high-growth consumer technology startup environment required, ideally in crypto or fintech
  • Proven ability to connect data insights to business strategy, driving measurable impact on growth, retention, and revenue.
  • Deep understanding of data science methodologies, analytics frameworks, and modern data infrastructure. Familiarity with SQL, Python, and data visualization tools is a plus.
  • Experience working closely with product, engineering, marketing, and leadership teams to align data initiatives with company goals.
  • Ability to build scalable data processes, improve execution, and ensure high-quality insights are delivered efficiently.
  • Experience in hiring, mentoring, and developing data teams. Track record of fostering a culture of learning, feedback, and continuous improvement.
  • Ability to navigate ambiguity, synthesize complex data, and create clear, actionable strategies that drive business results.
  • Hands-on approach with the ability to contribute as an individual contributor when needed
  • Drive Strategic Impact: Identify high-value opportunities where data can drive growth, revenue, and retention. Ensure insights shape company and product strategy, leading to measurable improvements in key metrics.
  • Develop Operational Excellence: Build scalable systems and processes for data workflows, ensuring the timely and high-quality delivery of insights. Establish best practices that improve efficiency and execution.
  • Lead Cross-Functional Collaboration: Partner with product, engineering, and marketing teams to embed data into decision-making and align initiatives with business priorities. Foster a culture where data is a core part of strategic discussions.
  • Build and Grow a High-Performing Team: Recruit, mentor, and retain top data talent. Establish a strong team culture focused on learning, feedback, and continuous improvement. Ensure the team is engaged, effective, and seen as a key driver of business success.
  • Establish a Scalable Data Culture: Ensure data is deeply integrated into company operations. Create processes that enable teams across the organization to leverage insights effectively and make data-driven decisions at every level.

AWSLeadershipPythonSQLBusiness IntelligenceCloud ComputingData AnalysisETLMachine LearningPeople ManagementProduct ManagementCross-functional Team LeadershipData engineeringData scienceStrategic ManagementRESTful APIsData visualizationData modelingData managementA/B testing

Posted about 2 hours ago
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πŸ”₯ Enterprise Architect
Posted about 5 hours ago

πŸ“ United States

🧭 Full-Time

πŸ” Technology Consulting

🏒 Company: Collaborative RoboticsπŸ‘₯ 11-50πŸ’° $100,000,000 Series B 10 months agoMachinery ManufacturingRoboticsInformation Technology

  • Bachelor’s Degree in Computer Science, Information Technology, or a related field.
  • Minimum of 10 years of experience in IT, including 5 years in enterprise architecture.
  • Extensive experience in advising enterprise leaders on enterprise architecture.
  • Ability to assess current enterprise systems and identify strengths and gaps.
  • Skilled in developing strategic roadmaps for technology aligned with business goals.
  • Familiarity with emerging technologies such as AI, machine learning, and IoT.
  • Proven expertise in enterprise IT ecosystems including applications, data, infrastructure, and security.
  • Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud), ERP, CRM, and middleware technologies.
  • Familiarity with Industry 4.0, TMS, BMS, WMS, PLM, SCM systems.
  • Exceptional problem-solving, analytical, and decision-making abilities.
  • Collaborate with client business leaders to define IT strategy and ensure alignment with organizational goals.
  • Design and implement end-to-end enterprise architectures covering applications, data, infrastructure, and integrations.
  • Lead platform selection and ensure compliance with best practices.
  • Stay updated with emerging technologies, guiding clients to ensure high-quality development.
  • Maintain knowledge of architectural standards, security, and regulatory compliance.

AWSCloud ComputingIoTMachine LearningAzureComplianceStakeholder management

Posted about 5 hours ago
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πŸ“ EMEA

🧭 Full-Time

πŸ’Έ 40900.0 - 92050.0 USD per year

πŸ” Employing

🏒 Company: Remote - Referral Board

  • Experience in data science / advanced analytics / statistical modelling experience, ideally within Sales/Marketing/Finance or other commercial parts of the organization
  • Working knowledge of workhorse machine learning algorithms (particularly supervised learning using Python), and their typical use cases in a commercial organization
  • Insatiable curiosity to proactively pose deeper questions, not be satisfied with superficial answers, and dig into vast granular data to uncover conclusive answers analytically
  • Strong proficiency in SQL (in Snowflake) to manipulate data easily
  • Demonstrated ability to craft precise analytical questions from ambiguous business problems, and roll up the sleeves to address them
  • Understanding of causal inference methods to be able to utilize quasi-experimental or other econometric techniques to determine causality among different initiatives (essentially, finding out β€œwhat works,” and what does not, especially around Sales & Marketing questions)
  • An attitude to β€œget stuff done” particularly around being actively involved with data cleaning and quality, building reports or answering important business questions (being a full-stack data professional)
  • Top-Tier communication skills in English, to distill complex mathematical models, concepts and findings into simple, intuitive words and charts for senior commercial leaders
  • Initially focusing on developing and maintaining KPIs and dashboards with the rest of the team, to monitor metrics and uncover insights as the primary responsibility for the first ~3-6 months (also to understand the business effectively)
  • Liaising productively with Data Analysts, Analytics Engineers and the business teams/owners to ensure that data products, analysis & statistical models built are not only technically sound but highly effective and widely useful
  • Building predictive models around different business areas and problems within Revenue Analytics : Lead Scoring, Marketing Attribution, Customer Churn Prediction, Optimizing Sales Processes, Building Books of Business
  • Maintaining the data pipelines and statistical models, and also continuously calibrate existing models to account for changing business conditions and/or customer behaviour
  • Using causal inference and quasi-experimental techniques to dig into historical & current data to statistically identify which initiatives worked and what was the lift they produced
  • Owning important business questions analytically and technically, creating new knowledge as well as raising the standards for advanced analytics work.

PythonSQLData AnalysisETLMachine LearningSalesforceSnowflakeData visualization

Posted about 6 hours ago
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πŸ“ Poland

🧭 Full-Time

πŸ” Sustainability Ratings

  • An advanced degree (Master's or PhD) in Math, Physics, Statistics, Economics, Computer Science, or similar domain.
  • 10+ years of experience in data analytics or quantitative roles.
  • Very strong communication skills, capable of presenting findings to non-technical stakeholders.
  • Expert proficiency in SQL; experience with Python and/or R is a plus.
  • Experience with web and app analytics platforms like GA4, Hubspot, and Salesforce is required.
  • Familiarity with data visualization software like Tableau and Looker Studio.
  • Orchestrate functional requirements for workflows within the Marketing tech stack.
  • Lead marketing campaign operations and technology implementations for customer acquisition and retention.
  • Ensure optimal performance of MarTech stack, maintaining processes and requirements.
  • Collaborate with Revops and Enterprise Architecture on database management.
  • Monitor lead routing accuracy and key data integrity.
  • Drive experimental design for marketing insights and vendor evaluation.

PythonSQLData AnalysisData MiningETLMachine LearningSalesforceGoogle AnalyticsTableauData engineeringData visualizationDigital Marketing

Posted about 6 hours ago
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πŸ“ Egypt

πŸ” E-learning

🏒 Company: iSchoolπŸ‘₯ 251-500πŸ’° $4,500,000 about 1 year agoEducationEdTechChildren

  • Bachelor's degree in Computer Science or a related field.
  • Practical experience with programming languages such as Python, Java, or C++.
  • Strong foundation in artificial intelligence concepts and applications.
  • Exceptional communication skills in English, both verbal and written.
  • Previous experience in teaching or mentoring youth is a plus.
  • Flexibility to adapt to various learning styles and student needs.
  • Dependable internet connection and appropriate technology for conducting remote sessions.
  • Conduct online coding classes tailored to different skill levels for students aged 6 to 18 years old.
  • Develop and implement engaging lesson plans and activities that foster learning and creativity.
  • Provide constructive feedback to students and assist them in overcoming challenges.
  • Create a positive and inclusive learning environment that motivates students to collaborate and innovate.
  • Stay informed about the latest developments in coding and AI education to enhance the curriculum.
  • Collaborate with fellow instructors to refine and improve teaching methodologies and materials.

PythonArtificial IntelligenceJavaMachine LearningC++

Posted about 8 hours ago
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πŸ”₯ Research Engineer - Data
Posted about 8 hours ago

πŸ“ United Kingdom

🧭 Fulltime

πŸ” AI

🏒 Company: Leonardo.Ai

  • Hands-on experience with images, videos, 3D geometry (mesh/solid modeling), and/or text data. Well-rounded expertise in Python and PyTorch.
  • Passion for synthetic data generation making use of inference of pretrained models, 3D rendering engines, and/or other softwares.
  • Demonstrated proficiency in setting up large-scale, robust data pipelines, using frameworks like Spark, Ray, or Metaflow. Comfortable with model versioning, and experiment tracking.
  • Good understanding of parallel and distributed computing. Experienced with setting up evaluation methods
  • Experience with AWS, Azure, or other cloud platforms. Proficient in both relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases, plus vector data stores.
  • Lead the ingestion, unification, and organization of large, unstructured data sources (e.g., text, images, 3D geometry, code snippets) into scalable, high-quality datasets suitable for machine learning research and production.
  • Develop and optimize distributed systems for data processing, including filtering, indexing, and retrieval, leveraging frameworks like Ray, Metaflow, Spark, or Hadoop.
  • Build and orchestrate pipelines to generate synthetic data at scale, advancing research on cost-efficient inference and training strategies.
  • Design and conduct experiments on dataset quality, scalability, and performance.
  • Collaborate with legal and safety teams to ensure all data usage respects privacy, security, and ethical standards.
  • Contribute to internal and external libraries or frameworks, sharing insights and breakthroughs with the wider AI community through publications or technical blogs.

AWSDockerPostgreSQLPythonSQLCloud ComputingData AnalysisETLHadoopImage ProcessingKubernetesMachine LearningMLFlowMongoDBMySQLPyTorchAlgorithmsAzureCassandraData engineeringData scienceData StructuresREST APINosqlSparkCI/CDJSONData modeling

Posted about 8 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 175000.0 - 200000.0 USD per year

πŸ” Healthcare Technology

  • Minimum 10 years of experience in overseeing channels and third-party relationships with healthcare-technology vendors.
  • Bachelor’s degree in a related field.
  • Experience in a fast-paced startup in healthcare technology.
  • Success in exceeding new business quotas and KPIs with distribution partners.
  • Experience working with healthcare executives at the C-Suite level.
  • Strong channel and partnership management skills.
  • Preferred experience with various healthcare segments.
  • Knowledge of current healthcare technology and industry trends.
  • Understanding of healthcare economics.
  • Experience with Microsoft Office applications, Salesforce, and Hubspot.
  • Understanding of product development and client commercialization arrangements.
  • Expertise in SaaS and reseller agreements.
  • Advanced verbal and digital communication skills.
  • Develop & execute strategy and plans for managed accounts and segments.
  • Align strategy with various sales team verticals.
  • Identify scalable solutions and share best practices.
  • Build a partnership GTM playbook and deliver sales enablement needs.
  • Enhance sales prospecting tactics and establish best practice account strategy.
  • Build high-value channel partnerships, achieving annual growth and retention quotas.
  • Generate interest in Lirio through relationships with C-Level executives.
  • Evangelize Lirio at industry events and maintain sales pipeline in CRM.

Artificial IntelligenceData AnalysisMachine LearningSalesforceStrategic ManagementCross-functional collaborationMarket ResearchCRMSaaS

Posted about 9 hours ago
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πŸ“ US

🧭 Full-Time Or Part-Time

πŸ’Έ 35.0 - 65.0 USD per hour

πŸ” Artificial Intelligence

  • Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a STEM-related field.
  • Proficiency in reading and writing informal and professional English.
  • Strong research skills and ability to navigate various information resources.
  • Outstanding communication, analytical, and organizational capabilities.
  • Solid reading comprehension skills and ability to exercise autonomous judgment.
  • Commitment to technological advancements and innovation.
  • Use proprietary software applications to provide input/labels on defined projects.
  • Support and ensure the delivery of high-quality curated data.
  • Collaborate with technical staff to train new tasks and implement technologies.
  • Help improve the design of efficient annotation tools.
  • Select complex STEM problems where expertise can drive improvements in AI model performance.

PythonArtificial IntelligenceDifferential EquationsMachine LearningData scienceResearch skills

Posted about 9 hours ago
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πŸ“ USA

🧭 Internship

πŸ” Analytics

🏒 Company: SuccessKPI Inc.

  • Desire to learn and a problem-solving approach.
  • Demonstrated team player with initiative, integrity, and creativity.
  • Strong academic performance and outstanding interpersonal skills.
  • Open to all majors, especially in sales, marketing, computer programming, business, analytics, and finance.
  • 0-2 years of experience or a passion for the business and software industry is a plus.
  • Knowledge and experience in business analytics.
  • Effective communication skills with emphasis on clarity.
  • Self-starter with ability to prioritize work and seek support when needed.
  • Proactive and can-do attitude.
  • Leveraging analytics tools to derive business insights.
  • Collaborating with clients and internal teams to analyze, design, and deliver innovative call center analytics solutions.
  • Aligning business needs with technical capabilities by working closely with IT and business clients.
  • Designing and building systems using AI/Machine Learning technology.
  • Conducting client white-boarding sessions, workshops, design sessions, and project meetings.
  • Collaborating with a team of business analytics experts.

Artificial IntelligenceBusiness AnalysisBusiness IntelligenceData AnalysisMachine LearningJiraMicrosoft Office SuiteData analyticsData management

Posted about 9 hours ago
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πŸ“ United Kingdom, Germany, Netherlands, Poland, France

πŸ” Natural Language Processing, Artificial Intelligence

🏒 Company: InteticsπŸ‘₯ 501-1000IT Services and IT Consulting

  • Extensive senior-level experience in NLP and Artificial Intelligence.
  • Proven experience in large language model integration and deployment.
  • Strong Python development skills and familiarity with NLP libraries and frameworks.
  • Expertise in leading AI/NLP projects, with experience in evaluating and overseeing complex integrations.
  • Hands-on experience in architecting and managing large-scale NLP implementations.
  • Ability to supervise the integration of third-party NLP solutions in a corporate environment.
  • Experience as an NLP Consultant, Architect, or Lead in AI/NLP projects.
  • Overseeing the architecture, selection, and deployment of a robust NLP and ML-powered solution for enterprise-wide knowledge management.
  • Evaluating and integrating third-party NLP solutions.
  • Ensuring systems align with the organization's operational needs and compliance requirements.

Project ManagementPythonArtificial IntelligenceMachine Learning

Posted about 9 hours ago
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