Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.

Candidate is expected to:

• Work closely with technology teams to develop requirements and specifications for varying projects
• Take part in the development and enhancement of the backend distributed system
• Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions

Qualifications/Skills Required:

• 2-5 years of experience working with C++, Python, or Java
• Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)
• Must be comfortable working in both Unix/Linux and Windows environments
• Good understanding of various design patterns
• Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
• Solid communication skills
• Able to work collaboratively in a fast-paced environment with a passion to solving complex problems
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Desirable Skills/Knowledge:

• Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field
• Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
• Hands-on experience building ML and data pipeline architectures
• Understanding of distributed messaging systems
• Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)
• Experience with relational and non-relational database platforms

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You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists

• Coach and mentor data scientists of varying experiences to ensure their continued growth

• Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment

• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies

• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written

• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth

• Identify what matters most and prioritise ruthlessly

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company

• 3+ years of experience directly managing data scientists or product analysts

• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact

• Deep understanding of statistical analysis, experimentation design, and common analytical techniques

• Experience using data to inform product and business decisions that led to measurable outcomes

• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products

• Expertise in using data to inform AI/ML product development

• Background in SaaS product

Compensation

Canada Pay Range $187,900-$254,100 CAD

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Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.

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You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.

In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes.

You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

• Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.

• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.

• Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.

• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.

• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

• Big data engineering (Ex: Spark, Hadoop, Kafka)

• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)

• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)

• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.

• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.

• Fluent in SQL and database technology.

• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.

• Desired: Built solutions with public cloud providers such as AWS, Azure, or GCP

• Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

• Travel to customers in your region up to 30% of the time.

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A Research Scientist at Anduril should possess an M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas:

• Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;
• Engineering: controls, estimation theory, digital signal processing, and machine learning;
• Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;
• Probability: statistics and random processes.

A Research Scientist should have effective written and verbal communication skills, with the demonstrated ability to convey salient details about advanced technology in a compelling manner to both experts and non-experts alike. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

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Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.

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You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).

This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.

Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.

Responsibilities:

• Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects
• Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards
• Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks
• Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools
• Select and solve challenging problems from financial risk domains where you have deep expertise

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant
• Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)
• Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)
• Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data

Preferred Skills and Experience:

• Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm
• Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance
• Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)
• Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)
• Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)
• Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)
• CFA, FRM, PRM, CQF, or similar risk-focused certifications
• Previous exposure to large language models, AI safety, or quantitative evaluation pipelines

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time
• We are unable to provide visa sponsorship
• For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements

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You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging applied math problems to boost performance.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from applied math domains that align with your expertise, focusing on areas such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, and related fields where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Mathematics with a specialization in a subdomain of applied mathematics (there is a separate position for pure math) or (b) a medal in an International Math Olympiad (IMO) or similar level math competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Math PhD with a specialization in a subdomain of applied mathematics.
• Peer-reviewed applied math publications in well-regarded journals.
• Previous AI Tutoring experience and/or experience teaching college courses.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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Your deep domain knowledge will guide the selection and rigorous solving of complex problems in quantitative crypto strategies , including on-chain analysis, DeFi protocols, perpetual futures & derivatives trading, cross-exchange arbitrage, market microstructure in fragmented venues, MEV-aware execution, machine learning for crypto alpha signals, and portfolio/risk management in high-volatility 24/7 markets.

This role demands sharp quantitative thinking, quick adaptation to evolving instructions, and the ability to deliver precise, technically robust critiques and solutions in a dynamic environment.

Responsibilities:

• Utilize proprietary software to deliver accurate labels, rankings, critiques, and in-depth solutions on assigned projects
• Consistently produce high-quality, curated data adhering to rigorous technical and domain standards
• Partner with engineers and researchers to iterate on new training tasks, evaluation frameworks, and crypto-specific benchmarks
• Offer actionable feedback to enhance the efficiency, accuracy, and usability of annotation and data-collection interfaces
• Identify and solve challenging problems from crypto & digital asset domains where you have strong expertise , examples include:

• On-chain metrics analysis and wallet/flow clustering for alpha generation
• DeFi yield farming, liquidity provision, and impermanent loss modeling
• Cross-exchange / CEX-DEX arbitrage and triangular opportunities
• Perpetual futures funding rate strategies and basis trading
• Market microstructure in crypto order books (fragmented liquidity, MEV, sandwich attacks)
• Machine learning models for price prediction, sentiment from social/on-chain, volatility forecasting
• Tokenomics evaluation, airdrop/IDO quantitative assessment, and risk premia in altcoins
• Portfolio optimization and risk management in 24/7 high-volatility environments

• Provide rigorous critiques of model outputs, alternative quantitative approaches, mathematical derivations, code snippets, and step-by-step crypto reasoning
• Efficiently interpret, analyze, and complete tasks based on detailed (and evolving) guidelines

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Computer Science (with crypto/blockchain focus), Statistics, Applied Mathematics, Economics (quantitative), Physics, Operations Research, Data Science, or closely related field or equivalent professional experience as a quantitative crypto trader, systematic strategist, or on-chain analyst
• Superior written and verbal English communication (technical papers, explanatory breakdowns, professional correspondence)
• Extensive hands-on familiarity with crypto data sources and tools (CoinGecko, CoinMarketCap, Dune Analytics, Glassnode, Nansen, Chainalysis, Messari, DefiLlama, The Graph, blockchain explorers, CEX APIs, on-chain datasets, etc.)
• Outstanding analytical skills, attention to detail, and sound judgment under partial information

Preferred Skills and Experience:

• Professional experience in quantitative crypto trading, systematic strategies, or on-chain research at a crypto hedge fund, prop desk, market-making firm, DeFi protocol, or digital asset investment firm
• Publications or public analyses in crypto quant topics (e.g., journals, conferences, reputable blogs, GitHub repos with notable traction)
• Teaching, mentoring, or content-creation experience in crypto/quant finance (university, bootcamps, Twitter threads, newsletters)
• Proficiency in Python for crypto analysis (pandas, NumPy, ccxt, web3.py, etherscan APIs, polars, scikit-learn, PyTorch/TensorFlow for ML models, etc.) and/or Rust/Solidity familiarity
• Experience with backtesting crypto strategies, handling tick-level or on-chain data, managing API rate limits, and dealing with 24/7 market quirks
• Knowledge of MEV, flash loans, oracle manipulation risks, liquidation cascades, or other crypto-native phenomena
• CFA, FRM, CQF, or blockchain-specific certifications (e.g., Certified Blockchain Expert)
• Prior involvement with LLMs, reinforcement learning, or AI evaluation in financial/crypto contexts (strong plus)

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: $25/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications.

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You'll work across the entire lifecycle of features from early prototypes to production-grade systems and help define how millions of users interact with AI.

Responsibilities

LLM Feature & Agent Development

Design and ship LLM-powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.

Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.

Prototype new capabilities rapidly and iterate based on user signals and evaluation data.

Evaluation, Hillclimbing & Quality Systems

Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.

Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance.

Analyse failure modes, design mitigations, and drive systematic improvements across the stack.

LLM Tooling & Internal Infrastructure

Develop internal tools for prompt experimentation, model comparison telemetry, and debugging automated eval pipelines.

Create reusable frameworks that accelerate the entire AI org's ability to ship high-quality assistant features.

Applied ML & Product Integration

Integrate LLMs with product surfaces, APIs, and backend systems.

Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.

Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.

High-Velocity Teamwork

Operate with startup-founder energy: bias for action, rapid iteration, and comfort with ambiguity.

Work closely with researchers, engineers, and product leaders in a fast-moving AI team where ideas ship quickly and impact is immediate.

Contribute to a culture of experimentation, clarity, and high-quality execution.

Qualifications

Required/minimum qualifications

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications

Master's Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.

2+ years shipping production-level code, models, or data analysis.

1+ years using AI-assisted coding and analysis techniques.

Experience working on small teams and mid-stage startup environments.

Experience working on AI products.

PhD in engineering, applied math, statistics, or related analytical field.

4+ years shipping production-level code, models, or data analysis.

Deep experience building from zero-to-one.

Hands on work hillclimbing AI evaluations.

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San Mateo, CA, United States Data Science & Analytics ID: 5750

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, causal inference, economics, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

This is a temporary, part-time position requiring no more than 20 hours per week _for a 3-month duration, with possibility to extend._

Teams Hiring for this role:

• Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models.
• Safety: Managing account relationships and the real-time morphing of linguistic mapping.
• Economy: Drive creator success and growth by exploring marketplace structure and pricing.

You Will:

• Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations.
• Conduct in-depth research to address complex data-related challenges.
• Work on projects that have a real impact on our products, services, and business strategy.
• Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers
• Present your findings and recommendations to both technical and non-technical stakeholders.

You Have:

• Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science, Operations Research, Computer Engineering, Electrical Engineering.
• At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship.
• Proficiency in one or more programming languages (e.g., SQL, Python or R)
• Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow.
• Passion for applying scientific rigor to advance dynamic consumer products.
• Experience in developing production solutions is a plus.
• Experience with ML modeling

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. _Please note that not all benefits shown on this page are applicable to internship opportunities._

Hourly Pay Range

$64—$64 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

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San Mateo, CA, United States

Early Career

ID: 5825

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.

WHY GENERATIVE AI?

Our team’s mission is to enable Roblox Creators to bring GenAI capabilities to millions of users. We drive this innovation with a core commitment to safety, responsibility, and quality.

As a Data Scientist, you will play a critical role in evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D). You will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements.

You Will:

• Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods.

• Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features. You will identify opportunities, measure lift, and ensure statistical rigor.

• Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators for GenAI feature user satisfaction, business success, and safety.

• Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling that lift rigor and efficiency across the company.

• Conduct Applied Research at the Frontier: Maintain an active pulse on the intersection of Gen AI and Data Science. You will innovate on methodology and techniques to solve unique business challenges while contributing to the broader field in the technical community.

You Have:

• Possess or pursuing a PhD or equivalent in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field.

• Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling.

• Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact.

• Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact.

• Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field.

• GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation).

• Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued.

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range

$185,860—$221,380 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

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What you'll do

The Engine Programmer – Animation will work within a AAA production team (unannounced project).

This is a critical role, where supporting the engine and animation teams in the creation and delivery of 'best in class' animation is a priority.

What you need

• Design, develop, and implement animation features in our in-house game engine using C++, C#, and Python.

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