Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Execute end-to-end data science projects, from problem definition to deployment, building machine learning and NLP solutions for client decision-making.
Design scalable data pipelines and workflows, apply LLM APIs, and integrate cloud services into analytical deliverables.
Partner with senior data scientists, engineers, and client teams to create reusable tools that scale insights across projects.
Inizio Medical is part of Inizio, a global leader in healthcare communications. They help pharmaceutical and healthcare organizations turn complex science into meaningful impact through data, insights, and innovation.
Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
Understand customer's AI strategy and business critical challenges, finding the best problem-solution fit.
Support customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations.
Execute business-critical Proof-of-Value projects, including architecture and deliver secure, scalable systems.
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, they are changemakers pushing the boundaries of what’s possible and invest heavily in advanced AI capabilities.
Build and improve AI-native products and data-driven systems.
Rapidly prototype and iterate on AI-powered features.
Analyze, evaluate, and improve model outputs and system reliability.
FutureProofing is a talent platform focused on embedding high-caliber technical talent into startups building real AI-driven products. They work at the intersection of startup execution and real AI product development, helping companies build and improve production AI systems.
Own end-to-end responsibility for building identity verification machine learning models from prototyping to production.
Establish key metrics, derive data-driven insights, and conduct experiments to assess product impact.
Collaborate with Product Managers, Data Scientists, and Engineers to develop state-of-the-art document detection and fraud detection algorithms.
Veriff provides AI-powered identity verification using image recognition, document detection, and fraud detection. With a diverse team in the US, UK, Spain, and Estonia and backing from investors like Accel and Y Combinator, they are dedicated to building a safer online world.
Develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
Build models that automate refunds, getting money back to our customers faster.
Build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with competitive benefits and focus on an inclusive interview experience.
Build automated vendor intelligence pipelines that continuously collect and parse AI system cards, model benchmarks, security disclosures, and public vendor documentation.
Design synthesis systems that map disparate vendor information to our risk taxonomy, translating technical capabilities into governance-relevant risk signals.
Implement quality evaluation for generated risk profiles and create adaptive interpretation systems that adjust risk assessments based on organizational context.
Credo AI is a venture-backed company on a mission to empower organizations to responsibly build, adopt, procure and use AI at scale. Founded in 2020, Credo AI has been recognized as a Most Innovative Company of 2024 by Fast Company and a Technology Pioneer by the World Economic Forum.
Design and implement GenAI features using LLMs like GPT, Gemini, and Claude for personalized user experiences.
Build safe, conversational pathways such as Single Session Interventions for mental wellbeing, guided by behavioral science.
Collaborate with technical and non-technical teams to set standards, conduct code reviews, and represent the organization at events.
Girl Effect builds media and tech that adolescent girls in Africa and Asia want, trust, and need. Reaching over 50 million girls, they operate three chatbots in India, South Africa, and Kenya, and plan to scale to 30 million users by 2030.
Developing machine learning pipelines and custom analytics for image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data engineering and analytic pipelines
Envisioning, specifying, designing, and implementing core product functionality and conducting mission-critical fieldwork
Striveworks helps organizations harness AI to solve national security and business challenges by serving as a command center between data, models, and outcomes. Founded by data scientists and engineers, the company values a high-trust work environment with individual responsibility for collective results.
Be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status.
Do real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.
Break complex problems into concrete experiments and execute on them, independently or with a team.
AE Studio is a 160-person, fully bootstrapped ML consultancy that has spent over a decade building and shipping AI systems for clients. Without outside investors, we put money into alignment research through the AI Alignment Foundation, a nonprofit we founded to scale this work.
Design, build, and maintain data pipelines to analyze complex behavioral health datasets.
Implement and fine-tune AI/ML models to identify clinical trends and predictive patterns.
Act as the technical voice on scientific papers, translating data methodologies into clear, publication-ready text.
Our client is a behavioral health technology company using data science and AI to improve mental healthcare outcomes. They are a growing team that values collaboration with clinical experts to drive impact.
Run end-to-end forecasting analyses on real business problems, from data preparation through modelling to actionable recommendations.
Build and evaluate time series and machine learning models, validating them through rigorous testing.
Write clean code, participate in code reviews, and take ownership of tasks from estimation to delivery.
InPost Group is an innovative European out of home deliveries company revolutionizing parcel delivery through intelligent lockers. It is a publicly traded company with a market capitalization of about $5 billion and over 10,000 employees worldwide, committed to sustainable and efficient delivery solutions.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.
Design, build, and maintain scalable services that support the AI lifecycle.
Develop tools for pre/post-processing data for AI and other usage.
Design scalable pipelines for data collection, processing, and transformation.
Planner 5D is a global hub for home design, uniting over 100+ million users. They simplify the home renovation process with their cutting-edge software, fostering a vibrant community of enthusiastic and product-oriented professionals.
Own the model lifecycle: requirements, experimentation, model development, evaluation.
Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like.
Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions. They work with more than 1,000 leading merchant partners across industries and are backed by some of the most prominent technology investors in the industry.
Collaborate with Product, Engineering, and Commercial teams as the analytical backbone of your pillar, blending statistical rigor with commercial judgment.
Lead experimentation across your pillar, designing tests, sizing opportunities, and fostering evidence-based iteration.
Create self-serve dashboards and standardize metrics using AI-assisted workflows to accelerate output and focus on high-value problems.
Software Mind develops impactful solutions for global companies, working with tech giants and unicorns on transformative projects. The culture embraces openness, respect, grit, and combines employment with enjoyment among cross-functional engineering teams.
Contribute to training smarter, more inclusive AI through flexible, remote projects.
Work on annotation, evaluation, and prompt creation tasks tailored to your skills.
Join a global community of linguists and culturally aware contributors shaping safer AI.
Welo Data, part of Welocalize, is a global AI data company with over 500,000 contributors delivering high-quality, ethical data to train advanced AI systems. We are building a diverse community in 100+ countries, offering limitless opportunities for growth and contribution on your own terms.
Lead the team and oversee operating model, from project inception to evaluation and maintenance.
Partner with product and engineering teams across the Buyers Edge Platform organization to determine and deploy data science and AI applications.
Use proprietary and external data sources to build forecasting, anomaly detection, and decision-support capabilities.
Buyers Edge Platform revolutionizes the foodservice industry through technology, purchasing power and partnerships. With a diverse portfolio of over a dozen brands, they are dedicated to empowering stakeholders across the entire foodservice ecosystem with efficiency and unprecedented visibility.
Build and deploy AI-driven features using LLMs and recommender systems.
Contribute across the stack with React and Python, shipping user-facing code.
Work in a fast-paced iterative environment with design and product teams.
Euphoric builds AI-first employee benefits administration software for global employers. They are a fast-paced startup with a small, ambitious team and significant seed funding.