Sam Warwick

Founding Frontend EngineerCompensation: Up to $250,000 + Equity + BenefitsLocation: Mountain View, CA or Waterloo, ON (Hybrid)DeepRec.ai have been retained to help scale the engineering team at a newly launched, well-funded AI startup focused on building practical GenAI tools for everyday users. The founding team brings experience from companies like Twitter, Airbnb, and Uber, and the product has already reached thousands of early adopters through a successful closed alpha.Now entering a key growth phase, the team is hiring a Frontend Engineer to take ownership of the web stack and help shape the next chapter of the product. This role blends frontend technical leadership with a user-focused mindset—ideal for someone who’s excited by fast build cycles, collaborative product thinking, and seeing their work in the hands of real users.Responsibilities:Lead development of responsive, high-performance UIs using React and Next.jsCollaborate with product and design to create polished, accessible user experiencesOptimize frontend performance and maintain long-term code qualityBuild features in close coordination with backend and data engineering teamsSet up and maintain CI/CD pipelines and testing infrastructureDocument, debug, and scale the frontend codebaseHelp define frontend best practices and support future team growthQualifications:4+ years of professional frontend development experienceStrong proficiency in React and Next.jsExperience building and scaling consumer-facing web applicationsSolid grasp of modern JavaScript (ES6+), HTML, and CSSFamiliarity with styling frameworks like Tailwind CSS and responsive designConfident working with REST APIs and Git-based workflowsStrong attention to performance, maintainability, and securityClear communication skills and a proactive, problem-solving mindsetBonus Points:Previous experience at early-stage or fast-growing startupsWorked on high-traffic consumer products (e.g., 100k+ DAUs)Exposure to AI/LLM-enabled applications or recommendation systemsFamiliarity with TypeScript, testing libraries (Jest, Cypress), or performance toolingKnowledge of accessibility standards and inclusive designComfort working across the stack or collaborating closely with backend teamsExperience building from scratch or contributing to open-source projects

Senior / Staff Data ScientistCompensation: Up to $250,000 + Equity + BenefitsLocation: Mountain View, CA or Waterloo, ON (Hybrid)DeepRec.ai have been tasked to hire an experienced Data Scientist to lead the development of systems that support model evaluation, ranking infrastructure, and data-informed product features. This is a senior-level position suited to someone who combines deep technical capability with a strong understanding of product and user experience.You’ll be responsible for designing experiments, building evaluation frameworks, and extracting insights from behavioural signals and system-level data. The work will involve close collaboration with engineering, product, and research teams, with real impact on product direction and model quality.Responsibilities:Design and run experiments to measure model performance using user interaction and human feedback.Develop robust methodologies for sampling, scoring, bias correction, and metric definition.Collaborate with engineering to build scalable data pipelines and deploy evaluation logic.Investigate product usage data to uncover insights that inform product and research roadmaps.Build dashboards, tracking tools, and diagnostics to monitor core business and performance metrics.Contribute to system design through code contributions, schema proposals, and infrastructure decisions.Qualifications:10+ years of experience in data science, applied machine learning, or related technical roles.Deep understanding of experimental design, causal inference, and applied statistics.Proficient in Python and key scientific libraries (NumPy, pandas, scikit-learn, statsmodels).Experience working on ranking systems, embedding-based models, or preference learning techniques.Familiarity with data warehousing and query tools (e.g. BigQuery, SQL).Ability to communicate technical ideas clearly and translate them into product-relevant insights.Additional Experience (Preferred):Previous work on evaluation frameworks for LLMs or RLHF pipelines.Exposure to consumer-scale AI systems, recommender products, or human-in-the-loop workflows.Knowledge of experimentation platforms or A/B testing infrastructure.

Data Infrastructure EngineerCompensation: Up to $250,000 + Equity + BenefitsLocation: Mountain View, CA (Hybrid)DeepRec.ai have been tasked a Data Infrastructure Engineer to take ownership of the company’s analytics backbone — from warehouse design through to integration, performance, and data reliability. This role will play a key part in enabling company-wide insight and analysis through well-structured, secure, and scalable systems.You’ll lead initiatives around warehouse architecture, define data models that support reporting and research, and work across teams to ensure data flows accurately and efficiently. This role suits someone who enjoys designing systems from the ground up and takes pride in robust, well-documented engineering work.Responsibilities:Design and deploy a scalable data warehouse to support analytics and business intelligence.Define data models and schemas that serve a wide range of use cases across engineering and product.Develop and maintain ETL/ELT pipelines to ensure data completeness and integrity.Monitor performance, optimise queries, and maintain healthy data infrastructure.Work closely with stakeholders to define data requirements and deliver solutions that support them.Enforce standards around data governance, access control, and compliance.Maintain high-quality documentation and contribute to long-term data architecture planning.Qualifications:10+ years of experience in data engineering, data architecture, or analytics infrastructure.Strong experience with warehouse technologies (e.g. BigQuery, Snowflake, Redshift).Fluency in SQL and familiarity with relational databases (e.g. Postgres, MySQL).Experience with ETL frameworks and tools (e.g. Airflow, dbt, Talend, or Apache NiFi).Familiarity with cloud services and infrastructure (AWS, GCP, or Azure).Strong problem-solving abilities and the ability to work independently or cross-functionally.

DeepRec.ai has been retained by a fully-integrated earth observation analytics provider, tasked with the hire of a Geospatial Full Stack Engineer as they grow in size. As a business, they combine satellite imagery, distributed mapping systems, and mobile data to create insights into urban environments and spatial socio-economic factors to address some of the most pressing challenges of our century - climate change, sustainable development, humanitarian crises, disaster exposure and more. On the technical front, they rely on open source software, serverless architecture, client side rendering, map tiling as well as the adoption of cloud-native geospatial formats including the likes of GeoParquet, COG, PMTiles and STAC. They also collect in-situ geospatial data with their proprietary technology, with their system requiring two components: a management dashboard and a mobile app.Your role? To build modern and efficient web applications to allow users to play with the models that they develop and visualize their outputs, or to display analytics and allow users not only to understand them but also interact with them as well. For context, these web applications have to be backed by a solid API platform, which could also be offered to clients to integrate their services in their processes programmatically.  The type of candidate we're looking for has experience across the following stack:Frontend (Web App):Main programming language: JavaScript.Main library: React.js. Geospatial libraries: DeckGL, MapLibre GL JS, Turf.js. Data libraries: Recharts.js. Backend: Main programming language: JavaScript, Python. Main platform: Node.js. API: FastAPI. DBs: Postgres.Auth: Keycloak.Geospatial: PostGIS, TiTiler (ext: PgSTAC, TiPg).Cloud (preferably AWS): Basics: S3, ECR, codeartifact.EC2, ECS.Auth: Cognito. Networking: VPC, ELB.Serverless: Lambda, stepfunctions. IaC: SAM, CDK. Cloud-Native Geospatial: GeoParquet.PMTiles.COG.Zarr.STAC. Interested? Please apply with your most up-to-date CV and should you be considered a suitable fit, a consultant will be in touch.