HEY,
BOSTON

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

🚀 We’re Hiring – C++ Quant Engineers | Electronic Trading | 4-Month Contract (Perm Potential) Want to build tech that shapes the future of global markets? Our client, a cutting-edge trading infrastructure firm, is hiring experienced C++ developers with real-world knowledge of exchange microstructure and electronic trading systems. They’ve just kicked off a high-impact build phase, and after a great response to top-tier candidates (think Bloomberg-level engineering), they’re expanding the team immediately. 📍 Locations: NYC | Remote  📅 Duration: 4-month contract to start, with strong potential to convert to perm 💼 What they’re looking for:Advanced C++ devs with low-latency trading or exchange connectivity experienceFamiliarity with market data or execution flow is a major plusCloud exposure (AWS/GCP) welcome, especially within financial trading environmentsYou’ll work alongside ex-Goldman, Tradeweb, and Credit Suisse leadership on tech that directly impacts how markets move. Interested? DM me or apply below — we’re moving fast. #C++ #QuantDev #ElectronicTrading #Fintech #ContractToPerm #TradingTech #NYCJobs #LondonTech #HFT #HiringNow

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.

🔍 Quantitative Researcher – New York 💼 Quantitative Strategies | Alpha Research | Global Markets 🚀 Our client is a global quant fund managing multi-billion dollar portfolios using fully automated, statistically driven strategies across equities and futures. With a deep commitment to research, innovation, and collaboration, they’re expanding their NY team. What you'll do: • Research & backtest academic finance theories using real-world data • Build alpha models and test their validity with rigorous statistical techniques • Dive into petabytes of global market and alternative data • Collaborate with world-class researchers, technologists & traders across global offices • Contribute to production-ready quant strategies What we're looking for: • Pursuing (or recently completed) a BS/MS/PhD in CS, Math, Stats, Physics or similar • Strong grasp of statistics and modelling • Coding skills in Python or other scripting language • Self-starter with analytical horsepower • Knowledge of ML, finance, or cloud infrastructure is a plus (not a must) Why join? 💡 Learn from top-tier mentors in a flat structure 🌍 Global exposure with offices in NY, London, HK & Miami 🧘‍♂️ No dress code, Friday team lunches, startup energy 📈 Competitive comp + full benefits (401k match, health, dental, vision, PTO)📍Location: New York 💰Salary: Competitive & Commensurate with Experience ✅ Our client is an equal opportunity employer. 📩 Ready to apply or want to learn more? Drop us a message.

Senior Market Connectivity Developer Location: Whippany, NJ, United States Type: Permanent | Vice President Level Salary Range: $170,000 – $230,000 (Base only) + Bonus & Benefits The Opportunity Our client, a global investment bank, is seeking a Senior Developer to join its Market Connectivity team within the Pre-Trade Technology function. This role is core to building low-latency, high-throughput exchange connectivity systems used by cross-asset trading desks globally. You’ll be part of a distributed team delivering mission-critical infrastructure for high-performance trading environments. What You’ll Be DoingDesign and build scalable, high-performance connectivity components in Java and/or C++ for low-latency trading.Collaborate with colleagues in London, Prague, and the US to deliver globally aligned exchange connectivity platforms.Own the full SDLC including development, testing, release, and production support.Act as a subject matter expert in distributed systems and financial protocol integration (FIX, OUCH, etc.).Contribute to production stability, participate in post-mortems, and help shape SRE best practices.Tech Stack / Experience NeededStrong Core Java (or C++) development background, with hands-on experience in Linux environments.Expertise in multi-threading, memory optimization, networking, and distributed systems.Familiarity with financial protocols like FIX, OUCH, or Millennium is highly preferred.Exposure to scripting languages (Bash, Perl, Python) and tools such as Grafana or Prometheus is a plus.Previous experience in trading, risk, or middle office systems is strongly valued.You Should Apply If You…Are excited by complex technical challenges in ultra-low latency systems.Have the ability to work autonomously while influencing architectural decisions across global teams.Want to work at a firm where technology is core to market success, not a back-office function.Are looking to join a high-calibre team in a Vice President-level role with long-term growth.Additional Role ExpectationsPlay a strategic role in aligning development initiatives with broader business goals.Mentor junior developers and participate in peer code reviews.Engage in risk and governance processes, contributing to control and compliance.Foster an environment aligned with agile delivery and secure coding practices.Compensation & PerksCompetitive base salary: $170,000–$230,000Eligibility for incentive bonusFull benefits package including:401(k)Medical, dental, vision insurancePaid leave for qualifying circumstancesLife & disability coverageInterested? This is a high-impact role within a mission-critical team at the heart of a global trading operation. If you're ready to step into a senior engineering role with a clear path to leadership, apply now or reach out for more details.

Applied AI Researcher  $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are recruiting for an Applied AI Researcher possessing deep expertise in contemporary large language model frameworks and demonstrated experience implementing generative AI solutions in production environments. Key ResponsibilitiesMonitor and analyze emerging trends in generative AI and assess their strategic application potentialEvaluate new methodologies and technologies for integration into existing systemsArchitect, develop, and maintain sophisticated LLM-based applicationsManage complete machine learning pipelines encompassing data preprocessing, model development, performance evaluation, and deployment operationsTranslate complex technical concepts for diverse audiences, from technical specialists to business stakeholdersPrepare comprehensive documentation and presentations on research findings and technical decisionsPartner with software engineers, UX designers, and data science teams to deliver innovative AI-powered solutionsContribute to product strategy and technical roadmap development About YouBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related quantitative field – PhD desirable!Minimum 3 years of hands-on experience in machine learning and AI developmentProven track record of successfully deploying AI models in production environmentsExperience with enterprise-scale AI implementationsAdvanced Python abilityExtensive experience with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXDeep understanding of machine learning algorithms, data structures, and optimization techniquesUnderstanding of MLOps practices and deployment strategiesIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

AI Engineer $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are seeking an experienced AI Engineer to join a dynamic engineering team. The successful candidate will possess deep expertise in contemporary large language model architectures and demonstrate proven experience implementing generative AI solutions in production environments. Key ResponsibilitiesArchitect, implement, and maintain LLM applicationsOversee complete ML lifecycle managementHandle data analysis, processing, and model architecture designDevelop training protocols, evaluation metrics, and MLOps infrastructureMonitor and analyze emerging trends in GenAI technologiesEvaluate potential applications of new developments for product enhancementContribute to strategic technical decision-makingPresent technical concepts to diverse audiences with varying technical backgroundsContribute to innovative AI solution development across multiple product areas About YouMinimum 3 years of ML experienceDemonstrated success deploying scalable AI models in production environmentsAdvanced programming capabilities with PythonProficiency with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXExperience with model optimization and deploymentBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or similarPhD or equivalent industry experience preferred Preferred QualificationsPublished research in recognized AI/ML conferences or journalsActive contribution to relevant open-source projectsParticipation in competitive ML platforms (Kaggle, etc.)Engagement with AI/ML professional communitiesPrevious experience in startup or scale-up environmentsIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!