Principal Machine Learning Engineer Oracle CorpPrincipal Machine Learning EngineerNY$114,600–$234,600 / yearOracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle''s differing products, industries and lines of business. In this role, you will drive building state-of-the-art training infrastructure for massive GPU clusters, as well as designing agentic systems deployed on OCI infrastructure at enterprise-scale.
Senior Software Engineer CurrentSenior Software EngineerNew York, NY$170,000–$250,000 / yearWe work across a broad set of domains, including user-facing products like liquidity offerings and reward programs, infrastructure for machine learning and experimentation, real-time fraud detection and identity protection, and large-scale transaction processing across multiple payment rails. Our stack includes MongoDB and Spanner for persistence, Pub/Sub for asynchronous event processing, Dataflow for data transformation paired with BigQuery and Google Cloud Storage for data storage and analytics.
Machine Learning Engineer, Level 5 Snap IncMachine Learning Engineer, Level 5New York, NY$209,000–$313,000 / year5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Director of AI Engineering ABM Industries IncDirector of AI EngineeringNew York, NY$143,500–$205,000 / yearWith over $8 billion in annual revenue and a blue-chip client base, ABM delivers innovative technologies and sustainable solutions that enhance facilities and empower clients to achieve their goals. Required Skills & Expertise: Machine Learning & AI: Deep learning, NLP, generative AI, predictive analytics, reinforcement learning.
Machine Learning Force Field Scientist Schrodinger IncMachine Learning Force Field ScientistNew York, NY$120,000–$190,000 / yearSchrödinger is honored to have been included in Crain''s New York Best Places to Work, BuiltIn''s NYC Best Place to Work, and Newsweek''s list of America''s 100 Most Loved Workplaces. Who will love this job: An ML force fields expert who has developed, validated, and applied ML force fields to simulate complex condensed-phase systems, such as solid-liquid interfaces, reactive events in the condensed phase, or solvated biomolecules.
Head Of Enterprise Architecture - US Tech ChanelHead Of Enterprise Architecture - US TechNew York, NY$223,300–$265,000 / yearCareer and Leadership Development: We have dedicated in-house teams focused on supporting the onboarding of employees, developing leadership skills via custom programs like Imagine Chanel People, Heart of Leadership and group and individual coaching, and blended online and live classes offered on our Bloom platform and by skilled trainers, such as Shape Your Career, to develop career building skills. What you will bring to the team: Knowledge of enterprise architecture principles, frameworks, and governance models; ability to define, implement, and govern enterprise-wide architecture direction that ensures alignment of technology capabilities with business strategy across regional & global operations.
Machine Learning Experts - PhD - AI Training - US Prolific Academic LtdMachine Learning Experts - PhD - AI Training - USNew York, NYWe've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development.
Data Scientist II - Scientific AI McKinsey & Co IncData Scientist II - Scientific AINew Jersey, NJML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision. Your work will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.
NewScientist/Sr. Scientist, Bioinformatics Data Legend Biotech USScientist/Sr. Scientist, Bioinformatics DataSomerset, New JerseyOur research spans chimeric antigen receptor T-cell (CAR-T), T-cell receptor (TCR-T), natural killer (NK) cell-based therapies, and other emerging platforms designed to transform the treatment of serious diseases. Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
AI Foundational Model Engineer Mitsubishi UFJ Financial GroupAI Foundational Model EngineerJersey City, New JerseyAdditionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. This individual serves as the technical lead across AI engineering initiatives, partnering closely with Product Management, Enterprise Architecture, Data Engineering, Platform Engineering, Cybersecurity, Risk, and Business stakeholders to deliver transformational AI capabilities.
Machine Learning Operations Engineer BdiplusMachine Learning Operations EngineerNew York, NY$110,000–$130,000The MLOps Engineer will be responsible for building and maintaining the infrastructure that enables reliable deployment, monitoring, governance, and continuous improvement of production machine learning systems across enterprise client environments. From modern data engineering and AI-powered products to cloud-native architectures and enterprise automation, our teams work on cutting-edge technologies that transform how businesses operate.
Machine Learning Operations Engineer II S&P Global IncMachine Learning Operations Engineer IINew York, NY$130,000–$175,000 / yearWe balance pragmatic platform development with hands-on exploration at the frontier: building agentic applications ourselves, contributing to open-source tools, and defining what a mature agentic platform looks like before the industry has settled on the answers. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com.
NewArtificial Intelligence/Machine Learning - Summer 2027 Intern Honeywell International IncArtificial Intelligence/Machine Learning - Summer 2027 InternNY$25.50–$45 / hourWe are a global automation company focused on helping customers run critical operations safely, reliably, and efficiently, with about $17B in 2025 sales, 54,000 employees, roughly 600 sites, and headquarters in Charlotte, NC. Honeywell Technologies is moving from automation toward autonomy by combining AI, controls, connected data, and domain expertise to help assets work harder, people work smarter, and processes run more efficiently.
NewVice President Data and Artificial Intelligence Surgical Care Affiliates LLCVice President Data and Artificial IntelligenceNYDefine and execute SCA Health's multi-year data platform roadmap - cloud data architecture, EHR/PAS data integration (HST, Athena, eCW, etc.), real-time pipelines, and the infrastructure that makes trusted data available to every decision-maker across the enterprise. Operate as the data and AI thought leader for the enterprise - partnering with VP Product on data-informed product decisions, with CISO on data security and AI risk, with Head of Architecture on platform design, and with clinical and operational leaders on use case identification and adoption.
Staff Data Engineer Newmark Group IncStaff Data EngineerNew York, NY$190,000–$250,000 / yearHands-on experience designing and implementing Master Data Management (MDM) solutions, including entity resolution, match/merge, golden records, and reference/hierarchy management (e.g., Informatica, Reltio, Profisee, or similar). Architect and integrate agentic AI and LLM-driven workflows (autonomous agents, RAG pipelines, AI copilots) into data platforms and pipelines to drive efficiency and new capabilities.
Head of Enterprise Architecture - US TECH Chanel S.A.Head of Enterprise Architecture - US TECHNew York, NY$223,300–$265,000 / yearCareer and Leadership Development: We have dedicated in-house teams focused on supporting the onboarding of employees, developing leadership skills via custom programs like Imagine Chanel People, Heart of Leadership and group and individual coaching, and blended online and live classes offered on our Bloom platform and by skilled trainers, such as Shape Your Career, to develop career building skills. What you will bring to the team: Knowledge of enterprise architecture principles, frameworks, and governance models; ability to define, implement, and govern enterprise-wide architecture direction that ensures alignment of technology capabilities with business strategy across regional & global operations.
Lead Data Scientist Compass IncLead Data ScientistNew York City, NY$175,500–$195,000 / yearYou will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly shape company-wide strategic planning, resource allocation, and product innovation. Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities, translate overarching business goals into complex analytical frameworks, and deliver high-impact actionable insights.
Evp, Analytics Horizon Media, Inc.Evp, AnalyticsNew York, NY$350,000–$500,000 / yearWe provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement. This leader will partner with brand strategy, activation, business intelligence, advanced analytics, and product teams to design and implement innovative measurement frameworks that connect marketing investments to business outcomes.
EVP, Analytics Horizon Media LLCEVP, AnalyticsNew York, NY$350,000–$500,000 / yearWe provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement. This leader will partner with brand strategy, activation, business intelligence, advanced analytics, and product teams to design and implement innovative measurement frameworks that connect marketing investments to business outcomes.
Data Platform Engineer TreeswiftData Platform EngineerNew York, New York$160,000–$200,000 / yearYou will develop and evolve DAGs that orchestrate complex, multi-step workflows: dozens of tasks, fan out/in in pipelines, Python and Kubernetes operators split across generalized and specialized node pools, and dynamic DAG generation. To date, our technology has enabled our customers to reduce wildfire risk, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms.