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We are seeking an experienced Data Scientist with strong expertise in advanced analytics, machine learning, and statistical modeling to join the JPMorgan Private Bank.The successful candidate will play a key role in developing and deploying data science solutions that drive business strategy, optimi

The AI Engineer, Investment Services will be responsible for exploring opportunities to develop and build potential solutions that leverage GenAI and Machine Learning in an effort to deliver innovative, GenAI driven products that seek to enhance the firm's business processes and enterprise intellig

Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer PhD machine learning engineering internships for the summer of 2026. As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creat

Demonstrate experience using complex SQL queries for data extraction and transformation.

In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. Collaborate with data scientists, engineering teams, product managers, and progr

Our roster has an opening with your name on it.In this role, you’ll work closely with data scientists, engineers, and product managers to bring models from experimentation to production and ensure they perform reliably at scale.You’ll contribute across the ML lifecycle—including feature engine

We are looking for a Senior Machine Learning Engineer to support our Databricks-native (i. In addition to solid technical skills, this role requires strong communication across functions, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and

Senior Applied Machine Learning Engineer. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you. At least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company.

Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Design, build and test data pipelines for machine learning that are reliable, scalable and easil

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries.By enabling high-fidelity, multi

Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scient

About the Role** Mercor is seeking experienced Sales Managers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems.

About the Role Mercor is seeking experienced Private Detectives and Investigators to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule. ## Key Responsibilities - You’ll be asked to create deliverables regarding common requests within your professional domain - You’ll be asked to review peer developed deliverables to improve AI research ## Ideal Qualifications - 4+ years professional experience in your respective field - Excellent written communication with strong grammar and spelling skills ## More About the Opportunity - Fully remote and asynchronous — complete work on your own schedule - Expected workload: ~30 hours per week, with flexibility to scale up to 40 hours - Project start date: immediately, lasting for around 3-4 weeks ## Compensation & Contract Terms - Independent contractor engagement through Mercor - Hourly compensation, paid weekly via Stripe Connect - Payments based on services rendered; contractors maintain full control over their work schedule and methods About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey - Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. ## Earn $200 by referring Share the referral link below, and earn $200 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. [Learn

As an Applied AI/ML Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI and machine learning solutions to enhance the efficiency and effectiveness of our operations. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques

Engineering team and contribute to the evolution of our AI products. Collaborate with data scientists, engineers, and research to integrate ML solutions into Accrete’s platform. Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency.

The team is composed of experienced engineers from leading consumer tech companies such as Pinterest and Amazon. As a Machine Learning Engineer at Client's company, you will join the ML team to design, build, and scale machine learning systems that drive search, ranking, and personalization across a

As an ML Engineer at Tennr, you’ll own. Machine Learning Engineers at Tennr are expected to wear a variety of hats. BS/MS) in an ML research/engineering role.

Strong foundation in data structures, algorithms, and software engineering principles. Experience structuring and running data-backed experiments. You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready.

Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally. Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Lang

Constellation is a cutting-edge AI solution that empowers highly regulated and complex industries with the insights and content they need to fuel their business.Specializing in industries such as healthcare, automotive, insurance, and finance, our powerful data/AI insights tools inform the creation

You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role The Automation and Personalization Lead will define and drive the strategy for marketing automation and applied machine learning at Gametime. Focused on CRM and SEM channels, this cross-functional role will partner with marketing, analytics, and engineering to develop and deploy ML-powered systems that improve targeting, enable personalization, and increase efficiency across campaigns. You will work across the entire lifecycle of ML application—from strategy and ideation through to model deployment and measurement. Your work will shape how fans are engaged, retained, and reactivated through intelligent, automated, and highly personalized marketing. Key Responsibilities • Partner with CRM and paid marketing teams to identify opportunities for automation, advanced audience segmentation, and predictive targeting., • Design and implement machine learning models to support marketing use cases including churn prevention, LTV forecasting, and event affinity scoring., • Enable personalization at scale through dynamic content optimization, send-time optimization, and cross-channel orchestration., • Drive SEM innovation by operationalizing ML-based bidding, keyword optimization, and creative testing strategies., • Lead adoption of advanced automation capabilities across ad platforms including Google, Meta, and programmatic systems., • Partner with Engineering and Analytics to ensure the right data infrastructure, pipelines, and experimentation frameworks are in place to support automation., • Own the roadmap for ML and marketing automation, aligning it with company growth goals and marketing priorities., • Serve as the primary bridge between marketing stakeholders and technical teams, ensuring solutions are business-relevant and measurable., • Champion best practices in experimentation, incrementality measurement, and performance monitoring for ML models. Key Competencies • Deep understanding of applied machine learning and its application in real-world marketing scenarios., • Experience working cross-functionally across Marketing, Analytics, and Engineering teams., • Strong program and project management skills; able to lead end-to-end initiatives and deliver results., • Comfortable navigating ambiguity and building new capabilities from the ground up., • Exceptional communication and stakeholder management skills., • Analytical mindset with a strong grasp of experimentation, testing, and measurement methodologies., • Passion for building smarter, more relevant customer experiences through data and technology. Requirements • 6+ years of experience in data science, marketing technology, or performance marketing roles., • 2+ years in a lead or strategic capacity, managing cross-functional initiatives., • Proven success deploying ML or automation in CRM, paid media, or personalization use cases., • Hands-on experience with ad platforms (Google Ads, Meta, programmatic) and CRM/marketing automation tools (e.g., Braze, Iterable, Salesforce Marketing Cloud)., • Experience building and deploying machine learning systems in production environments., • Strong understanding of marketing KPIs, campaign structure, and customer lifecycle strategy. Nice to Haves • Experience with experimentation platforms (e.g., Google Ads Experiments) and causal inference methods., • Familiarity with app-based attribution, SKAN, and incrementality measurement., • Background in ticketing, marketplaces, e-commerce, or other high-frequency transactional industries., • Familiarity with marketing cloud technologies, data infrastructure, or feature store design. Why Gametime This role is a rare opportunity to drive innovation at the intersection of marketing and machine learning. You'll own the roadmap for automation and personalization across two of Gametime's most critical marketing channels. With full visibility into the impact of your work—from model performance to revenue outcomes—you'll help shape the future of growth at Gametime. If you're excited by high-leverage problems, real-world ML application, and measurable business impact, this is your role. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job DescriptionDescription: Full time employee opportunity. Hybrid in New York City We are seeking a passionate and technically skilled Marketing Automation Lead to design, execute, and optimize multi-channel CRM campaigns using Braze. This role combines strategic leadership, hands-on development, and campaign execution to drive fan engagement and lifecycle marketing initiatives. You will collaborate with cross-functional teams to deliver personalized experiences across email, SMS, push, and in-app channels. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $120K - $130K Responsibilities: • Campaign Strategy & Execution, • Manage end-to-end campaign process: audience segmentation, personalization, QA, and deployment., • Build and optimize lifecycle campaigns (onboarding, retention, reactivation) using Braze., • Implement A/B and multivariate tests to improve engagement and conversion rates., • Technical Development, • Configure and orchestrate complex customer journeys in Braze., • Develop dynamic templates using Liquid for personalization and conditional logic., • Ensure accurate tracking, targeting, and rendering across devices and email clients., • Data & Insights, • Leverage fan profile data, behavioral insights, and predictive modeling to inform strategies., • Monitor KPIs and extract actionable insights for continuous optimization., • Collaboration & Leadership, • Partner with Marketing, Data & Analytics, Product, and external vendors to align on goals., • Bachelor’s degree with 5+ years of experience in marketing automation or CRM roles., • Hands-on experience with Braze (or similar platforms like SFMC, Iterable)., • Proficiency in HTML/CSS for email development and Liquid scripting for personalization., • Strong understanding of segmentation, dynamic content, and lifecycle marketing., • Familiarity with data models and integration workflows., • Excellent communication and project management skills. Preferred Skills: • Working knowledge of predictive modeling and machine learning for CRM optimization., • Knowledge of REST APIs and JSON for connected content., • Proficiency in Photoshop for creative adjustments., • Passion for innovation and fan engagement. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you’ll drive the adoption of first-to-market AI leadership coach and team tools platform with Fortune 500 enterprise clients like Coca Cola, Nestle, AstraZeneca, Prudential, General Mills and more. You’ll leverage your consultative sales expertise to propel revenue growth at multi-national organizations. In collaboration with GTM and product teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have compelling communications skills to build high-yield relationships with buyers, working complex opportunities, and executing strategies to capture revenue potential with speed. We are looking for a natural company builder - high owner, structured executer and entrepreneurial mindset because the opportunity for impact here is astronomical. By driving deployment of Valence's generative AI product, you will help enterprises transform their approach to leadership and development while also advancing the cutting edge deployment of AI. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do • Win new business and drive revenue for Valence. Find your way to the right people at prospective customers, educate them, and help them succeed with Valence., • Lead complex sales cycles, managing pilots, negotiations, procurement/infosec and deal closures., • Experiment with sales strategies to meet and exceed revenue quotas., • Command, report and forecast sales activity - from prospecting target accounts and contacts to closing deals, • Provide market feedback to the Product and Engineering teams, guiding the evolution of offerings., • Actively source and provide valuable market research, including industry-specific information and trends for prospects., • Contribute to refinements of the sales function as a whole at Valence, including the collaboration with other AEs.What We're Looking For, • At least 7 years of experience in a high-impact sales role within a SaaS organization, with a proven track record in enterprise deals., • Demonstrated ability in handling complex, enterprise (250k+) deals, showing proficiency in navigating complex sales processes and contractual negotiations., • Outstanding communication and presentation skills, capable of engaging effectively with C-level executives and technical leaders., • Outstanding organization and project management skills, able to manage many moving parts with limited support., • Resilient and adaptable in fast-paced, evolving startup environments., • Previous experience or passion in coaching, leadership and development is highly advantageous., • Strong analytical skills, with the ability to translate customer needs into actionable product feedback.Why Valence, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture #LI-HYBRID We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Role** Mercor is seeking experienced News Analysts, Reporters, and Journalists to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems.

Software Engineer / Engineering Manager.Chalk is building the data platform that powers the future of machine learning applications.We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities.Our platform combines Rust-speed performance with elegant tools

Chalk is building the data platform that powers the future of machine learning applications.We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities.Our platform combines Rust-speed performance with elegant tools that developers love to use.Leading com

As the Lead Machine Learning Engineer at 1stDibs, you will be a key driver in shaping the future of our marketplace by developing intelligent, data-driven products that enhance the user experience and drive business growth. As a Lead Machine Learning Engineer, you will tackle some of our most impact

Root Access is an applied AI company building developer tools for embedded engineers. Machine Learning Engineer Intern. Have a Master’s in Mathematics, Data Science, or Engineering.

We’re looking for an experienced ML Engineer to join a well funded, early stage health tech startup focused on revolutionizing the provider model and improving patient outcomes with AI. As a core member of the early engineering team, you would be responsible for data ingestion and analysis, develo

Machine Learning Engineer (Level II). Machine Learning Engineer (Level 2). ML Engineering team and lead the development of advanced AI systems that power our platform.

Looking to hire in NYC to contribute alongside the product team.

We’re looking for a Software Engineer with strong ML, biometrics and computer vision experience to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Software Engineer at CLEAR, you will part

A degree in computer science, engineering, or a related field. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers on current and

As a Scientific Machine Learning Research Engineer.

IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.

Contribute significantly to model architecture decisions, leveraging state-of-the-art machine learning, deep learning, and reinforcement learning techniques. Breadth and depth knowledge of statistical learning, machine learning, and deep learning. We are seeking an experienced Lead Machine Learning

Client is a fast-growing social shopping platform co-founded by Phoebe Gates and Sophia Kianni. The platform currently serves over 350,000 users and boasts a 90% retention rate. Phia combines community, personalization, and AI-driven recommendations to revolutionize online shopping. Backed by early investors, Phia offers the opportunity to join a small, mission-driven founding team and help shape the future of social commerce. • Location: San Francisco or New York City (must relocate to NYC within a few months), • Work Type: In-person, full-time, • Experience Required: 3+ years, • Salary Range: $160,000 – $200,000 per year, • Visa Sponsorship: H-1B, O-1, OPT As the Founding Backend Engineer, you will own and scale Client's data infrastructure, which powers search, personalization, and recommendations. You will work closely with the CTO and ML engineers to design robust pipelines, architect backend systems, and establish best practices for backend engineering. This is a founding-level opportunity with significant product and technical ownership. • Architect and implement backend systems for Client's recommendation engine and shopping experience., • Design and maintain data pipelines for ingesting and processing large-scale datasets from multiple sources., • Build reusable APIs and microservices for core product features., • Integrate machine learning models into production in collaboration with the ML team., • Ensure system reliability, scalability, and maintainability across the backend stack., • Define and enforce backend engineering standards and technical best practices. • Minimum of 3+ years of backend engineering experience., • Strong proficiency in Python and cloud platforms (AWS/GCP)., • Hands-on experience building data pipelines and microservices architectures., • Familiarity with Airflow, gRPC, GraphQL., • Deep understanding of search and vector database technologies, including:, • HNSW (Hierarchical Navigable Small World), • OpenSearch / Elasticsearch, • Approximate Nearest Neighbor (ANN) frameworks, • Excellent system design and problem-solving skills., • Must be willing to work in-person in New York City (relocation support provided). • Competitive salary plus founding equity package., • Comprehensive health, vision, and life insurance., • 401(k) with company matching., • Free daily lunches, snacks, and late-night Ubers., • Opportunity to work directly with founders and early team members, shaping product and technical direction. 1. Intro Chat with Head of Recruiting, 2. Technical Interview / Intro Chat, 3. Coding Interview, 4. CTO Interview, 5. Onsite Interview (technical + cultural), 6. Offer Extended, 7. Hired • Experience at large tech companies (Meta, Google, Pinterest, etc.) and scrappy startups., • Familiarity with Ray, Dask, and Kubernetes., • Background in machine learning or handling large datasets., • Proven ability to establish technical best practices and standards., • Passion for building reliable, high-performance systems that drive business impact. • Only worked at large tech companies (Meta, Google, etc.) with no startup experience., • Frequent job hopping (tenures less than 6 months)., • Primarily management or non-hands-on engineering roles., • Unwilling to relocate to New York City within a reasonable timeframe. Apple, Meta, Amazon, Pinterest, Google, Robinhood, Ramp, Uber, Lyft, DoorDash, Spotify

About the Role** Mercor is seeking experienced First-Line Supervisors of Retail Sales Workers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems.

About the Role** Mercor is seeking experienced real estate sales agents to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain.

Mercor is seeking native Spanish speakers who are also marketing professionals based in Latin America or Spain. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain. You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in Latin America. * * * ## Role Responsibilities - Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in Latin America or Spain. - Bilingual Communication: Write fluently in both Spanish and English, ensuring correct marketing terminology and nuanced expression across languages. - Domain Expertise: Provide cultural insights specific to Latin American or Spanish marketing, reflecting cultural norms and media habits that drive marketing effectiveness. - Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in Latin America or Spain. * * * ## Ideal Candidates Should Have: - Language Skills: Native-level fluency in Spanish with strong written and spoken English. - Education: Degree in marketing, communications, advertising, or a similar field. - Experience: 2–6+ years of experience in marketing in Latin America or Spain. - Analytical Abilities: Excellent writing, analytical, and communication skills. - Nice to Haves - Experience with assessment and rubric development is a plus. - Familiarity with generative AI models or machine learning concepts is a bonus, but not required. * * * ## More Details About This Role: - This is a remote and asynchronous role — work on your own schedule. - Expect to contribute at least 20 hours per week. - Expect a commitment of around 2 months. - You’ll be working in a structured project environment with clear goals and tools. Application and Onboarding Process: - Submit your resume. - Complete an AI-led interview to assess language ability and professional experience. This should take around 15 minutes. - If selected, you’ll take a follow-up AI-led interview to assess your professional background. - You’ll then complete a paid work trial to determine if this type of work is suited for you. - After that, you’ll receive feedback and be onboarded to the project. * * * About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

Staff Machine Learning Engineer.AI-driven fraud detection platform.You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.This is a hands-on technical leadershi

Spotify is looking for a Staff ML Engineer to join the Native Ads product area in the Music Mission.In Native Ads, we build consumer and industry-facing music promotion products which provide creators new avenues for promoting their work, reaching new audiences, and deepening their connections with

The Personalization team makes deciding what to play next easier and more enjoyable for every listener.From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features.We built them by understanding the world of music and podcasts better than anyone else.Join us and you’ll kee

You will report to an Engineering Team Lead in our New York City headquarters. Collaborate with engineers, data scientists, and product managers to translate ambiguous product ideas into technical requirements and scalable ML solutions. Own end-to-end ML lifecycle: from feature engineering, model tr

You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole.Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build b

The Commercial Data Science & Machine Learning team at Squarespace is looking for a Senior Data Scientist.Our team develops and integrates data science models into company practices and the product to unlock value for Squarespace and its customers.You will support investment decisions through statis