Location: Los Angeles, USA
As an
Insights Analyst Intern
on the
League of Legends
team, you will help game developers better understand players and make data-informed decisions that improve the League experience. You'll work with game data to analyze player behavior, track game health and product performance, and translate findings into clear, actionable insights through reports, dashboards, and presentations.
The Insights discipline helps empower Rioters' decision-making to be more data-informed. We're an interdisciplinary group of scientists, consultants, researchers and strategists from all sorts of backgrounds who join together to represent and advocate for gamers around the world. We believe that illuminating the globally diverse experiences, behaviors, and needs of gamers is essential to Riot living up to our player-focused mission. We're a group united by our love of games, science, and helping others succeed.
Responsibilities:
Analyze League of Legends player behavior and game performance: Use data to explore player engagement, gameplay patterns, and interactions with game features and content.
Build reports and dashboards: Create and maintain data visualizations using Tableau or similar tools to help teams monitor key metrics, identify trends, and understand game performance.
Turn data into actionable insights: Interpret analytical findings, identify meaningful patterns, and communicate what they mean for players and the game.
Present analytical findings: Develop clear presentations and visual storytelling to share insights with stakeholders from both technical and non-technical backgrounds.
Collaborate with cross-functional teams: Work with other analysts, researchers, game developers, and partners to understand business questions, explore data, and support data-informed decision-making.
Learn and grow your analytical craft: Develop your technical and analytical skills through hands-on projects, mentorship, and exposure to the challenges of operating a live game.
Required Qualifications:
Currently enrolled in an MBA or graduate degree program (Master's or Ph.D.) in Business Analytics, Data Analytics, Computer Science, Statistics, Mathematics, Economics, or a related field.
Graduating during the 2028 calendar year
Available to work full-time hours for the 12 week internship duration
Foundational knowledge of statistics and analytical methods, with the ability to interpret data, identify trends, and draw meaningful conclusions.
Strong analytical and problem-solving skills, with curiosity to explore questions and learn new approaches.
Eagerness to learn, openness to feedback, and the ability to collaborate effectively with others.
Experience creating reports or presentations that communicate data and findings clearly to an audience, through academic projects, internships, or professional experience.
Proficiency in SQL, including querying, joining, and aggregating data to answer analytical questions.
Desired Qualifications:
Experience using Tableau or other data visualization tools to build dashboards, reports, or interactive visualizations.
Experience using Sparks, Python or another programming language for data analysis.
Experience working with large datasets to answer business, product, or player behavior questions through coursework, personal projects, or internships.
Experience with AI-assisted analytical workflows, such as using AI tools to support data exploration, develop reports, or build dashboards.
Familiarity with League of Legends' ecosystem, including its gameplay, player communities, and live-service content.
Work Authorization
Candidates must be legally authorized to work in the United States for the duration of the program.
This position is not eligible for visa sponsorship. We do not sponsor visas for this position or internship conversions.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you!
Applications close Friday, January 4th, 2027 at 11:59pm PT
Our Perks:
Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks, and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Recruiting team also invites you to intern focused events so you can connect with your fellow interns and Rioters to make the most out of your experience.
Riot Games fosters a player and workplace experience that values teamwork embodied by the
Summoner's Code
and
Community Code
. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of
thriving together
and our ongoing work to build the
most inclusive company in Gaming
.
(Remote Only)
The hourly rate for this internship is USD $54.23
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
PRODUCT AT BASETEN
Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day.
We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption.
THE ROLE
Make world-class AI inference feel effortless for developers.
Building with AI models should be easy. Getting them into production, understanding their performance, and scaling them reliably is anything but. At Baseten, we're changing that.
We're looking for a Product Manager to own the experience of building on Baseten, from discovering and evaluating models to deploying, optimizing, and operating them in production.
You'll help shape some of our most important products, including Model APIs, Dedicated Inference, Model Evaluations, and our Model Library. You'll work closely with engineering, research, and GTM to turn breakthroughs in inference performance into products that developers love and businesses depend on.
This is a high-impact role at the intersection of AI infrastructure, developer experience, and product strategy.
RESPONSIBILITIES
- Own product strategy and roadmap across Baseten's inference offerings, with a focus on developer adoption and business impact
- Make it easier for developers to discover, evaluate, deploy, and manage AI models through our APIs, SDKs, CLI, and console
- Work with inference engineers and researchers to turn technical advances into compelling customer-facing capabilities
- Help determine which models, workloads, and customer needs we prioritize
- Partner with GTM and leadership on pricing, packaging, launches, and commercialization
- Spend time with developers and customers to understand what's working, what's frustrating, and what we should build next
REQUIREMENTS
- 10+ years building and shipping AI/ML products or platforms
- A technical background in software engineering, ML engineering, research, or equivalent hands-on experience
- Direct experience building or deploying models using technologies like PyTorch, TensorRT-LLM, vLLM, SGLang, NVIDIA Dynamo, or similar frameworks
- Strong understanding of model serving, GPU economics, and the tradeoffs between quality, latency, throughput, and cost
- Exceptional developer product instincts. You know how to make complex technology approachable without sacrificing power
- A track record of leading cross-functional product initiatives and turning technical capabilities into measurable adoption or revenue growth
NICE TO HAVE
- Experience deploying models, building infrastructure products, building ML infrastructure, or designing tools used from both a terminal and a console
- Past experience as a software developer
WHAT SUCCESS LOOKS LIKE
Developers choose Baseten for a clear, compelling inference experience, from discovering a model to operating it at scale. Model APIs and Dedicated Inference offer clear paths that fit different workloads. Developers can move from a model to a repeatable production workflow with less assistance. Evaluation, artifacts, and releases fit together, and the experience makes customers more confident shipping their next model change. Engineering advances reach customers through successful launches and sustained production use.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
PRODUCT AT BASETEN
Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day.
We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption.
THE ROLE
Help make training and fine-tuning AI models dramatically easier.
Training a model is hard enough. Developers shouldn't have to spend their time wrestling with infrastructure, waiting for GPUs, or figuring out why a job failed.
We're building a training platform that lets AI teams focus on improving their models instead of managing the systems underneath them.
As Product Manager for Training Platform, you'll own the developer experience for running training jobs on Baseten, from environment setup and job submission to scheduling, debugging, checkpointing, and recovery.
You'll work alongside engineers and researchers solving some of the hardest problems in distributed training, helping turn that complexity into a product developers can depend on.
RESPONSIBILITIES
- Own the product experience for training jobs, from setup and submission through execution, monitoring, and recovery
- Make distributed training easier to use, with intuitive workflows for scheduling, GPU availability, logs, checkpoints, and debugging
- Work closely with research and infrastructure teams to support different training workloads, including supervised fine-tuning and reinforcement learning
- Help developers recover from failures, reproduce experiments, and spend less time waiting on infrastructure
- Connect training with the rest of Baseten's platform, including Loops, model evaluation, and inference deployment
- Work directly with customers to understand how they train and adapt models, then turn those insights into product improvements
REQUIREMENTS
- Experience building and shipping AI/ML products or developer platforms
- A technical background in software engineering, ML engineering, research, or equivalent hands-on work
- Direct experience working with teams that train, fine-tune, or adapt machine learning models
- Strong understanding of distributed training concepts, including GPU memory, scheduling, data access, checkpointing, and fault recovery
- Familiarity with the infrastructure needs of supervised fine-tuning and reinforcement learning
- Strong product instincts for developer workflows and the ability to simplify technically complex systems
- Experience partnering with researchers and engineers to take new capabilities from concept to production
NICE TO HAVE
- Hands-on experience running distributed training, building ML developer tools, or working with trainer and sampler systems for reinforcement learning.
WHAT SUCCESS LOOKS LIKE
AI teams can run more experiments, recover from failures faster, and spend more of their time improving models instead of managing compute. Baseten becomes a natural place to train, fine-tune, and deploy custom AI models.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
PRODUCT AT BASETEN
Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day.
We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption.
THE ROLE
Shape how AI infrastructure is priced, packaged, and sold.
AI infrastructure is changing fast, and the way customers pay for it is evolving just as quickly. Tokens, GPUs, reserved capacity, training jobs, agent execution. Different workloads have different economics, and traditional cloud pricing models don't always fit.
We're looking for a Product Manager to lead pricing and monetization across Baseten's platform.
You'll help determine how we package our products, measure usage, price new capabilities, and make it easier for customers to understand and manage their spend.
This is a rare opportunity to influence both how customers experience our platform and how the business grows.
RESPONSIBILITIES
- Own pricing and packaging strategy across inference, training, sandboxes, Grid, and future products.
- Design pricing models for token-based inference, dedicated deployments, reserved capacity, and emerging AI workloads.
- Work with engineering and finance to understand infrastructure costs, GPU utilization, margins, and usage patterns.
- Build and test pricing strategies using customer research, quantitative analysis, and real-world usage data.
- Shape the developer and enterprise purchasing experience, including credits, commitments, discounts, overages, and billing transparency.
- Partner with sales, finance, and product teams to bring pricing changes to market and manage customer transitions.
- Identify opportunities to improve adoption, revenue growth, and unit economics.
REQUIREMENTS
- 10+ years of experience in pricing, packaging, or monetization for cloud infrastructure, developer platforms, or complex usage-based products.
- A track record of owning meaningful pricing decisions, from strategy and modeling through launch and adoption.
- Experience with both self-serve and enterprise pricing, including commitments, consumption models, and commercial negotiations.
- Strong analytical skills, including hands-on work with SQL, financial models, usage data, and customer cohorts.
- A deep understanding of how pricing influences customer behavior, product adoption, and business economics.
- The ability to work across product, engineering, finance, and GTM to turn complex pricing decisions into simple customer experiences.
NICE TO HAVE
- Experience pricing AI/ML infrastructure, GPU compute, model APIs, or other emerging developer platforms.
- Familiarity with inference economics, including utilization, caching, retries, and serving costs.
WHAT SUCCESS LOOKS LIKE
Customers understand what they're paying for and can confidently grow their usage. Baseten has pricing models that make our products easy to adopt, support enterprise growth, and reflect the real economics of running AI at scale.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Los Angeles, USA
Machine Learning Engineers at Riot combine expertise in data processing, automation, machine learning, artificial intelligence, and experimentation to develop data-powered products that improve the player experience, protect competitive integrity, and ensure fair play.
As a
Machine Learning Engineering Intern
, you’ll work with experienced engineers, data scientists, and game or product partners to explore how data and machine learning can support Riot’s games, from shaping engaging player experiences to safeguarding fair and competitive play. You’ll gain exposure to the full ML development cycle, including preparing datasets, engineering features, prototyping models, evaluating results, and communicating findings. You’ll be supported by your team as you learn to build reliable, well-documented solutions.
Potential Responsibilities:
Collaborate with machine learning engineers, data scientists, software engineers, and product partners on player- or developer-focused projects.
Prepare, clean, and explore datasets for machine learning and data-powered applications.
Implement feature engineering, modeling, and evaluation approaches under the guidance of experienced team members.
Build prototypes, analyses, visualizations, or internal tools that help teams understand player experiences, product systems, or adversarial behavior.
Apply testing, documentation, and reproducibility practices to code and experiments.
Participate in code reviews, technical discussions, team rituals, and project planning.
Communicate technical findings and tradeoffs to both technical and non-technical collaborators.
Required Qualifications:
Graduating in the 2028 calendar year with an MS or PhD.
Currently enrolled in a Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or related quantitative degree program.
Available to work full-time hours for the 12-week internship duration.
Comfortable programming in Python.
Understanding of machine learning fundamentals, statistics, and data structures and algorithms.
Experience working with data using tools such as Python libraries, SQL, or notebooks.
Minimum GPA of 2.5.
Desired Qualifications:
Experience building or evaluating machine learning models through coursework, research, internships, or personal projects.
Familiarity with one or more machine learning frameworks or libraries, such as PyTorch, TensorFlow, scikit-learn, or Spark MLlib.
Familiarity with SQL and relational databases.
Experience with data visualization, experiment design, model evaluation, or statistical analysis.
Familiarity with software development practices such as Git, unit testing, functional testing, or continuous integration and deployment.
Experience working with cloud platforms, distributed data systems, or model deployment tools.
Portfolio, website, GitHub, research publication, or other collection of original work.
Experience working on a video game or related project, particularly in Unity or Unreal Engine.
An interest in applying machine learning to either enhancing player experiences or to ensuring competitive integrity through cheat detection.
Work Authorization
Candidates must be legally authorized to work in the United States for the duration of the program.
This position is not eligible for visa sponsorship. We do not sponsor visas for this position or internship conversions.
For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We’ll consider your studies and experience, as well as your personal relationship with games. If you embody player empathy and care about players’ experiences, this could be the role for you!
Applications close January 4th, 2027
Our Perks
Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Recruiting team also invites you to intern-focused events so you can connect with your fellow interns and Rioters and make the most of your experience.
Riot Games fosters a player and workplace experience that values teamwork embodied by the
Summoner's Code
and
Community Code
. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of
thriving together
and our ongoing work to build the
most inclusive company in Gaming
.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
(Remote Only)
The hourly rate for this internship is USD $80.77
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
PRODUCT AT BASETEN
Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day.
We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption.
THE ROLE
Make AI inference faster, smarter, and more efficient at scale.
Making AI models faster and cheaper is one of the most important engineering challenges in the industry. But a faster runtime alone isn't enough. Customers need to understand what improved, whether it works for their models, and how to take advantage of it in production.
We're looking for a deeply technical Product Manager to work alongside our inference engineers and researchers, turning advances in model serving and performance into capabilities customers can confidently adopt.
You'll help bridge the gap between cutting-edge systems engineering and real-world production workloads.
RESPONSIBILITIES
- Work with inference engineering and research teams to bring new performance capabilities to customers.
- Translate advances in batching, caching, quantization, speculative decoding, and serving architectures into useful product features.
- Define benchmarks and evaluations that demonstrate meaningful improvements in latency, throughput, quality, and cost.
- Understand customer workloads and help prioritize the optimizations that will have the greatest impact.
- Make performance features easier to configure, evaluate, and adopt in production.
- Help customers understand tradeoffs across hardware, model configurations, autoscaling, and routing.
- Partner with engineering on release readiness, compatibility, and regression testing so customers can trust new capabilities.
REQUIREMENTS
- Experience building and shipping AI/ML products or infrastructure, particularly where performance, scalability, or production behavior mattered.
- A technical background in software engineering, ML engineering, research, or equivalent hands-on experience.
- Strong understanding of model serving architectures, GPU economics, and latency, throughput, quality, and cost tradeoffs.
- Experience working closely with researchers or infrastructure engineers to bring technically complex capabilities into production.
- A rigorous approach to benchmarking, experimentation, and performance measurement.
- Strong product judgment and the ability to translate deep technical work into clear customer value.
NICE TO HAVE
- Hands-on experience with PyTorch, vLLM, TensorRT-LLM, SGLang, NVIDIA Dynamo, or similar technologies.
- Experience with open-source inference projects, model optimization, or ML systems research.
WHAT SUCCESS LOOKS LIKE
Customers can take advantage of Baseten's latest inference optimizations without becoming experts in the underlying runtime. Performance improvements translate into measurable gains in speed, reliability, and cost for real production workloads.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
We are seeking a Security Operations Engineer to own the daily operation and continuous improvement of Alpaca’s SIEM and SOAR capabilities. You will onboard security logs, develop and tune detections, keep alerts actionable, maintain operational dashboards, and automate repeatable response actions.
You will be hands-on and operationally minded. You will keep log onboarding, detection quality, and alert handling consistent, and you will turn security signals into action as the business grows.
This role reports to the Enterprise Security Architect and works closely with Security, IT, DevOps, and Engineering.
The Security Team is 100% distributed and remote.
Things You Get To Do:
The core responsibilities of the Security Operations Engineer are focused on detection, response automation, operational excellence, and cross-functional coordination.
SIEM Operations and Detection Engineering:
Log Onboarding:
Onboard new security log sources across cloud, identity, endpoint, SaaS, and application systems, including parsing, normalization, and data quality checks.
Detection Development:
Build, test, and tune detection rules based on threat intelligence, incident learnings, and emerging attack techniques, mapped to frameworks such as MITRE ATT&CK.
Alert Quality:
Tune, enrich, and manage the lifecycle of detections so alerts stay actionable.
Detection Coverage:
Maintain detections for critical systems and priority attack techniques.
Operational Dashboards:
Build and maintain dashboards for alert volume, ingest health, and response status.
Incident Response & Metrics:
Incident Support:
Support security incidents with evidence collection, detection queries, and containment actions, working with IT, Engineering, and external partners.
Runbooks:
Develop and improve alert-handling and incident response runbooks and escalation paths.
Operational Metrics:
Track and report security operations metrics, including mean time to detect (MTTD) and mean time to respond (MTTR).
On-Call:
Participate in the Security Operations on-call rotation after onboarding and cross-training.
SOAR and Response Automation:
Playbooks:
Design, build, and maintain SOAR playbooks that automate repeatable response actions, including enrichment, containment, ticketing, and notification.
Triage and Investigation:
Triage, investigate, and respond to security alerts across endpoints, identity, cloud, network, and application logs.
Threat Hunting:
Run hypothesis-driven hunts based on threat intelligence and incident learnings, and turn findings into new detections.
Who You Are (Must-Haves):
Excited about Alpaca’s mission and what we’re building
3+ years of experience in Security Operations or detection engineering roles
Hands-on experience operating and tuning a SIEM
Experience building SOAR playbooks or equivalent response automation
Working with Linux
Scripting or automation experience (Python, Bash) for security operations tasks
Experience onboarding and parsing log sources from cloud, identity, and SaaS platforms
Strong alert investigation skills across identity, endpoint, network, and cloud environments
Understanding of common attacker techniques and detection methodologies
Experience supporting security incidents, including evidence collection, detection queries, and containment
Willing to participate in an on-call rotation
Strong written and verbal communication skills, especially during incidents
Comfortable working cross-functionally and handling escalations calmly and decisively
Who You Might Be
(
Nice-to-Haves):
Experience securing financial, trading, or other highly regulated platforms
Familiarity with compliance frameworks such as SOC 2 or ISO 27001
Experience with detection-as-code, GitOps, and CI/CD pipelines
Knowledge of cloud security logging (AWS/GCP/Azure) and SaaS security telemetry
Familiarity with Kubernetes-hosted security tooling
Experience working with a managed SOC or MSSP
Security certifications (GCIA, GCIH, GCED, or similar)
Ability to balance security rigor with operational efficiency and business needs
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
We are seeking an IT Security Engineer to own the security standards and controls that protect Alpaca’s workforce identities, endpoints, and critical business systems. The scope includes identity and access management, single sign-on, privileged access, multi-factor authentication, endpoint security, secure network access, and email security.
You will maintain those standards, measure how the controls are working, and partner with IT, who run devices and day-to-day administration.
This role reports to the Enterprise Security Architect and works closely with IT, DevOps, Engineering, GRC, and the wider Security team.
The Security Team is 100% distributed and remote.
Things You Get To Do:
The core responsibilities of the IT Security Engineer are focused on identity security, endpoint security, email and domain protection, and measurable control enforcement.
Identity and Access Security:
IAM and SSO Standards:
Define and maintain security standards for SSO and conditional access across cloud, SaaS, and internal systems.
Multi-Factor Authentication:
Own multi-factor authentication standards, including phishing-resistant methods, and keep them enforced.
Privileged Access:
Maintain privileged-access standards, approval policies, and periodic access reviews with system owners.
Joiner, Mover, Leaver:
Partner with IT and People teams so access changes are timely, complete, and auditable.
Endpoint, Email, and Domain Security:
EDR Policy:
Own endpoint detection and response policy and tuning, with IT handling deployment.
Device Posture:
Maintain device-posture and secure network access requirements for access to business applications.
Control Measurement:
Measure identity and endpoint controls and follow up where they are not met.
Detection Partnership:
Work with Security Operations on identity, endpoint, and email detections and response playbooks.
Admin Access:
Maintain security baselines for administrator access to critical SaaS platforms and vendor accounts.
Vendor Security Events:
Assess the identity and account impact when a SaaS provider or vendor reports a security event.
Email Security:
Own email authentication standards and email security configuration.
Domain Protection:
Maintain security standards for company domains and for monitoring lookalike domains.
Phishing Response:
Triage reported phishing and coordinate takedowns.
Incident Response and Collaboration:
Incident Support:
Lead the identity, endpoint, and email aspects of security incidents, including account containment.
On-Call:
Participate in the Security Operations on-call rotation after onboarding and cross-training.
Enablement:
Give IT and employees clear guidance on security requirements, so controls are adopted without slowing the business.
Who You Are (Must-Haves):
Excited about Alpaca’s mission and what we’re building
3+ years of experience in IT security, identity security, or security engineering roles
Hands-on experience with an identity provider and SSO, including SAML and OIDC
Experience enforcing phishing-resistant MFA, such as FIDO2 or hardware security keys
Hands-on experience with an endpoint detection and response platform
Scripting or automation experience (Python, Bash, or PowerShell)
Experience with zero-trust network access or device-posture controls
Working knowledge of email authentication (SPF, DKIM, DMARC) and phishing response
Experience working closely with IT teams and translating security requirements into operational workflows
Experience investigating identity, endpoint, or email security alerts
Willing to participate in an on-call rotation
Strong written and verbal communication skills, especially during incidents
Comfortable working cross-functionally and handling escalations calmly and decisively
Who You Might Be
(
Nice-to-Haves):
Experience securing financial, trading, or other highly regulated platforms
Familiarity with compliance frameworks such as SOC 2 or ISO 27001
Experience with just-in-time privileged access tools
Experience securing administrator access to SaaS platforms
Experience with password managers and secrets management at company scale
Experience with MDM platforms for macOS and Windows
Experience with cloud IAM in AWS, GCP, or Azure
Ability to balance security rigor with operational efficiency and business needs
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
We are seeking an AI Security Engineer to own the technical security controls for how Alpaca uses AI. The scope includes identity for AI agents and automations, security requirements for AI tools and integrations, guardrails, and security logging. You will also assist in developing AI-powered security tooling.
You will keep those controls consistent as AI adoption grows, and you will work with the teams building with AI so security is part of the design.
This role reports to the Enterprise Security Architect and works closely with AI Enablement, Engineering, DevOps, GRC, and the wider Security team.
The Security Team is 100% distributed and remote.
Things You Get To Do:
The core responsibilities of the AI Security Engineer are focused on AI access controls, secure AI platforms, guardrails, visibility into AI usage, and AI-powered security tooling.
AI Identity and Access Controls:
Agent Identity:
Define how AI agents, bots, and automations authenticate, what they can access, and how their actions are attributed and audited.
Tool Access:
Own security requirements for AI tool integrations, including least-privilege access and credential handling.
AI Assistant Controls:
Define and enforce security settings for approved AI tools, including data handling and access policy.
Least Privilege:
Limit each agent and integration to the access it needs, and review that access when the integration changes.
Secure AI Platform, Tooling, and Response:
Security Requirements:
Define security requirements for internal AI applications, including identity, data handling, secrets, and review of new integrations.
Guardrails:
Design and implement guardrails for AI applications and agents.
Design Reviews:
Review new AI applications and integrations for security risks, and give builders clear, practical requirements.
Security Tooling:
Assist Security Operations in developing AI-powered tooling that supports detection, investigation, and response work.
Safe Use in Security:
Apply the same identity, data handling, and logging requirements to security team AI tools as to the rest of the company.
Telemetry Requirements:
Define the security logging AI systems must produce, and work with Security Operations on detection.
Approved Use:
Maintain visibility into AI tool usage and confirm it follows approved configurations.
Incident Support:
Lead the AI-specific aspects of security incidents, such as agent misuse or data exposure through AI tools.
On-Call:
Participate in the Security Operations on-call rotation after onboarding and cross-training.
Governance:
Standards:
Turn AI security standards into technical controls.
GRC Partnership:
Partner with GRC on AI governance and provide technical evidence for control design.
Who You Are (Must-Haves):
Excited about Alpaca’s mission and what we’re building
2+ years of experience in security engineering, application security, or cloud security roles
Hands-on experience securing LLM applications, AI agents, or AI developer tools
Understanding of AI-specific risks, such as prompt injection, data leakage, excessive agency, and insecure tool use (for example, the OWASP Top 10 for LLM Applications)
Experience with identity and access controls for services and non-human identities, including OAuth, service accounts, and secrets management
Programming experience in Python or another general-purpose language
Experience with CI/CD security checks and cloud-native deployments
Experience with security operations or incident response
Strong written and verbal communication skills, especially when explaining risk to non-security builders
Comfortable working cross-functionally and making pragmatic security decisions
Willing to participate in an on-call rotation
Experience building AI-assisted workflows for security operations
Experience building security telemetry for AI systems
Who You Might Be
(
Nice-to-Haves):
Experience securing financial, trading, or other highly regulated platforms
Experience securing enterprise AI coding tools and AI integrations
Experience with policy-as-code and Kubernetes
Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or ISO 42001
Ability to balance security rigor with operational efficiency and business needs
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Задачи: улучшение алгоритмов ценообразования и умных скидок для 150 млн товаров и 60 млн пользователей — от эксперимента до реализации продакшен-кода, улучшение текущих продакшн-процессов, автоматизация процессов внутри команды, эксперименты с современными подходами в ценообразовании.
Location: London
About us
The Financial Times ranks among the world’s foremost news organisations. It is known globally for its authority, integrity, and accuracy. Its mission is to provide quality information and services across the globe.
At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, build work that matters and deliver impartial journalism in a polarised world.
In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing.
Your future at the FT will be filled with opportunities that challenge and encourage you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere.
Develop a newsworthy career at the FT.
Our dedication to inclusion and fairness
We believe everyone should have a fair opportunity to contribute, succeed, and reach their full potential. That means ensuring everyone is heard, respected, and valued, while identifying and removing barriers that may get in the way. Our dedication is to be an employer role model, grounded in inclusion and fairness for all.
We want every application to receive fair and thoughtful consideration; therefore, all applications are evaluated by a member of our recruitment team, not by AI.
The role
We’re looking for a Senior Product Designer to join our Editorial Technology team, helping build the tools journalists and editors use to compose, manage, and publish world-class journalism.
You’ll build experiences across Spark, our newsroom content management system (CMS), and related editorial tools supporting written stories, video and audio.
This role involves working on intricate products that directly aid journalism production at the FT. Work often starts without a clear brief or defined project. You will need to be comfortable investigating problems, grasping detailed workflows, and helping decide the appropriate course.
Collaborating with product managers, engineers, and newsroom colleagues, you'll merge user research, systems thinking, and strong design skills to develop intuitive, accessible tools for expert users.
You'll also consider how editorial tools interact with the reader experiences they facilitate across our website and apps, partnering with our Customer Products teams as needed.
AI is increasingly crafting editorial workflows, and you'll have chances to explore how new technologies can assist journalists and editors. These include tools that improve editorial quality and accuracy.
Key responsibilities
Lead the end-to-end build process, from early problem framing and discovery through information architecture, exploration, prototyping, testing and delivery.
Develop a deep understanding of how journalists and editors work, using research, workflow mapping and direct engagement to find opportunities for improvement.
Partner with product managers and engineers to build product direction, define problems and establish clear priorities, particularly where requirements are ambiguous.
Build intuitive, accessible experiences for complex editorial workflows, including the creation and management of written and multimedia content.
Work closely with engineering teams to understand technical architecture, data, systems and constraints, ensuring built solutions are practical and achievable.
Build positive relationships with newsroom collaborators, bringing their expertise into the development process while applying sound design judgement.
Consider how editorial tools connect with customer-facing experiences, collaborating with Customer Products teams to support consistency and shared development patterns.
Communicate build decisions, recommendations and trade-offs clearly, helping teams navigate complexity and make informed decisions.
Investigate ways AI can assist editorial workflows, such as quality and accuracy checks, while collaborating closely with editorial, product, and engineering colleagues.
Use AI-enabled tools such as Codex or Figma Make, where appropriate, to prototype, test ideas and communicate technical assumptions.
Stay informed about developments in AI-assisted build and prototyping, bringing relevant approaches and ideas into the team.
Required skills and experience
Strong product development experience across user research, UX, visual design, information architecture and prototyping.
A portfolio demonstrating high-quality product development work, your individual contribution and measurable impact.
Experience crafting and delivering complex digital products, including internal tools and workflows for expert users.
Demonstrated capability to carry projects from initial problem identification through research, prototyping, validation, and final delivery.
Strong product and systems thinking, with an ability to understand how interconnected tools, workflows and technologies work together.
A thoughtful and analytical approach to problem-solving, with the confidence to challenge assumptions and explore alternative solutions.
Experience planning and conducting proportionate user research, combining qualitative and quantitative insights to inform development decisions.
Sufficient technical understanding to collaborate effectively with engineers and navigate complex systems, data and technical constraints.
Strong Figma and prototyping skills, with practical experience applying accessibility principles.
Experience using AI-assisted prototyping or development tools, with the judgement to assess their opportunities and limitations.
Excellent communication and collaborator management skills, with the ability to build positive relationships across multidisciplinary teams.
Confidence working through ambiguity, crafting requirements and helping teams move towards clear, considered solutions.
Desirable
Experience crafting content management systems, editorial platforms or newsroom tools.
A grasp of digital publishing workflows, including the creation and management of multimedia content.
Experience working on products that connect complex internal systems with customer-facing digital experiences.
What’s in it for you? Our benefits
Our benefits vary by location but we are committed to providing outstanding perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here.
We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, encouraging positive relationships and team cohesion, and supporting peer learning. We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams.
Accessibility
We are a disability confident employer and Valuable 500 signatory.
Please inform us if you need any reasonable adjustments or accommodations during the application process or to assist you in attending an interview. If you wish to talk about your needs or have any queries, email talent@ft.com and someone from our team will gladly assist you.
Further information
At the FT, we value innovation and the adoption of technology and accept that applicants may bring AI tools to bear in their application process. Feel free to use AI to aid your application, but all information you provide must be honest and accurately display your skills, experience, and qualifications.
Candidates should be aware that the use of AI during the application process might be observed to guarantee a fair and transparent hiring experience for everyone.
Please be cautious of fake job postings and offers pretending to come from the Financial Times. All genuine roles require applications through the official Financial Times careers website. The FT will never request financial details, payments, or third-party referrals during recruitment. If you doubt a job's authenticity or suspect a scam, contact talent@ft.com.
Interested in the FT but haven’t found the right position yet? Join our Talent Community to get exclusive updates, highlighted jobs, and insights into working at the FT.
Превращать телеметрию автономного транспорта в данные, удобные для анализа: разрабатывать и запускать Spark-пайплайны, продумывать преобразования и проверки качества. Подключать новые источники данных: разрабатывать интеграции с различными системами и обеспечивать надёжную загрузку данных в хранилище.
Location: Intellias
Meet your recruiter
Gerasim Naydenov
gerasim.naydenov@intellias.com
https://www.linkedin.com...
Vacancy details
Data Engineering
Data Engineer
Principal
Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States
Remote
APPLY NOW
REFER A FRIEND
Intellias is looking for a
Lead Healthcare Data Engineer
to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information.
The role requires both
deep hands-on engineering expertise and broad technical influence
— establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team.
What project we have for you
We’re helping a US digital-health platform get its patients’ medical data in order: lab results, diagnoses, medications, visits and more. The data comes from many different clinics and labs, each with its own format, so right now it’s pretty messy. Our job is to clean up and standardize that data close to the source, bring scattered logic into one place, and see the real data quality every day instead of guessing. Data engineers will work mostly in Databricks/Spark, building pipelines, reference data and quality checks together with the dev team and clinical experts.
What you will do
Set the
technical direction for healthcare data engineering
across ingestion, transformation, validation, normalization, and delivery.
Own the end-to-end architecture of
large-scale distributed data pipelines
transforming heterogeneous source data into clean, standards-conformant FHIR.
Design and evolve scalable solutions using
Python, Spark/PySpark, Databricks/Delta Lake
, and modern data-processing technologies.
Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads.
Establish standards and reusable frameworks for
data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing
.
Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery.
Build and evolve automated testing and validation capabilities for
data quality and FHIR conformance
.
Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently.
Champion
PHI-safe engineering practices
and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements.
Make
AI-native engineering a practical part of the team’s development model
, using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks.
Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe.
Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both.
Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing.
Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation.
Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions.
Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions.
What you need for this
8+ years of professional experience
in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability.
Proven
Lead-level technical ownership
of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams.
Strong hands-on expertise in
Python
and production-grade data engineering.
Deep experience with
Apache Spark/PySpark at scale
, including partitioning, performance optimization, memory tuning, and distributed processing.
Experience with modern lakehouse technologies such as
Databricks and Delta Lake
, or comparable platforms.
Strong experience designing and operating large-scale
ETL/ELT pipelines
, including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads.
Proven experience diagnosing and eliminating complex
performance and scalability bottlenecks
in distributed data-processing systems.
Deep hands-on experience with
FHIR R4
, including resources, profiles, Bundles, validation, and large-scale healthcare data transformation.
Strong knowledge of
US Core, USCDI, HL7 v2.x
, and C-CDA-to-FHIR transformation patterns.
Strong understanding of healthcare terminology standards including
SNOMED CT, LOINC, and RxNorm
.
Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models.
Strong experience with
data quality, deduplication, record/patient linking, terminology normalization, and validation
.
Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture.
Experience with
Git, CI/CD, automated testing, observability, and production operations
.
Strong understanding of healthcare security, privacy, and regulatory requirements, including
HIPAA
and PHI-safe engineering practices.
Proven ability to establish
reusable engineering frameworks, architectural patterns, standards, and data-quality practices
adopted by other engineers.
Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence.
Practical experience using
AI coding agents such as Claude Code or comparable agentic engineering tools
as an integral part of the development lifecycle.
Strong engineering judgment around when to use
AI/LLM-based approaches versus deterministic rule-based solutions
, particularly where correctness, cost, performance, or PHI safety are critical.
Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders.
Nice to Have
Deep experience with
large-scale FHIR data modeling and healthcare interoperability platforms
.
Experience with
Master Patient Index (MPI), patient matching, identity resolution
, or large-scale record linkage.
Experience with payer data exchange, including
CARIN Blue Button
, Da Vinci implementation guides, or similar standards.
Experience working with pharmacy, laboratory, or other specialized healthcare datasets.
Knowledge of
ICD-10
, CPT, CVX
, and additional clinical terminology/code systems.
Experience with
21st Century Cures Act, ONC certification, CMS Interoperability Rule
, or related U.S. healthcare regulatory frameworks.
Experience building LLM/agent-based capabilities for
clinical data extraction, normalization, terminology mapping, or healthcare data quality
.
Experience designing reusable AI skills or agentic workflows adopted across engineering teams.
Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
Healthcare
Python
Spark
— Сбор и анализ больших массивов данных из различных блокчейн-сетей (on-chain data). — Разработка и внедрение моделей машинного обучения для прогнозирования состояний сети и оптимизации работы ZK-инфраструктуры.
Location: Москва
Данные — главный рычаг качества фронтирной модели. Станьте тем, кто его держит
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GigaChat обучает одна из крупнейших ML-команд страны. Мы знаем то же, что знают OpenAI и Anthropic: качество следующей версии модели определяют претрейн-данные. Поэтому мы ищем не «инженера по датасетам», а исследователя, который будет владеть данными как рычагом роста модели — от стратегии сбора до измеримого прироста на бенчмарках.
Контур влияния короткий и прямой: ваша гипотеза → эксперимент → обучающий прогон → прирост метрик модели, которой пользуются миллионы людей.
Обязанности
* Вести программу экспериментов с данными.
* Планировать, запускать и анализировать ablation-эксперименты: сравнивать версии смеси данных, фильтров и порядка обучения при фиксированном вычислительном бюджете. Вы автор эксперимента, а не исполнитель.
* Оптимизировать смесь и порядок использования данных.
* Отвечать на главный вопрос претрейна: какие данные, в какой пропорции и в каком порядке должна видеть модель. Применять интуицию scaling laws к распределению токенов.
* Измерять качество данных.
* Превращать расплывчатые «хорошие данные» в конкретные измеримые сигналы: классификаторы для отбора документов, насыщенных рассуждениями, кодом и знаниями.
* Курировать корпус на масштабе триллионов токенов.
* Проводить точную и fuzzy-дедупликацию, фильтрацию, очистку от утечек бенчмарков, html2text.
* Собирать данные для agentic-pretrain.
* Проводить поиск, сбор и генерацию траекторий использования инструментов, многошаговых рассуждений и взаимодействия со средой — чтобы агентные способности закладывались в модель уже на этапе претрейна, а не только в пост-обучении.
* Создавать рецепты подготовки синтетических данных.
* Генерировать синтетику под дефицитные способности модели (длинный контекст, рассуждения, код) — с количественной проверкой через эксперименты.
* Замыкать петлю: «данные → обучение → оценка».
* Развивать контур бенчмарков и сетапов экспериментов для измерений, чтобы каждое изменение данных имело измеримый ответ.
Требования
* Нам нужны сильные исследователи, а не исполнители. Главное — умение самостоятельно задавать правильные вопросы, проектировать эксперименты и доводить гипотезы до измеримого результата.
* Опыт именно с LLM не обязателен, если у вас сильная экспериментальная практика в любой области ML — компьютерное зрение, рекомендательные системы, классический ML, наука — специфике больших языковых моделей мы научим.
* Сильные основы ML и статистики, культура контролируемого эксперимента: гипотеза → дизайн → измерение → вывод.
* Уверенный Python и опыт обучения моделей на PyTorch или аналогах.
* Самостоятельность в исследованиях: умение вести направление от вопроса до результата, а не ждать постановки задачи.
* Понимание цикла обучения LLM хотя бы на уровне теории: токенизация, scaling laws, влияние состава данных на качество.
* Знакомство с распределённой обработкой данных (Spark, Dask, Airflow, Kubernetes) и открытыми data-проектами (FineWeb, OLMo, Dolma) — как минимум представление о том, как это устроено.
Не обязательно закрывать все вышеперечисленные пункты. Если вы сильный экспериментатор и хотите дорасти до владения всем циклом данных фронтирной модели — давайте поговорим.
Условия
* Вычислительные ресурсы под ваши эксперименты.
* Один из крупнейших GPU-кластеров в стране.
* ablation-эксперименты — это обучающие прогоны, и вы сможете запускать их регулярно, а не «раз в квартал, если повезёт».
* Претрейн с нуля, а не дообучение чужих весов.
* Мы обучаем собственную модель с первого токена — это значит, что ваши решения по данным определяют фундамент модели, а не косметику поверх чужого претрейна. Сейчас мы учим модели размером 400–700B параметров, и у нас есть амбиции выйти на масштаб 1.5–2T.
* Опенсорс и мировая планка. Мы выкладываем модели в открытый доступ, и наша цель — достичь мирового уровня среди опенсорс-моделей. Ваша работа будет видна всему сообществу и будет сравниваться с лучшими открытыми моделями мира.
* Полная ориентация на результат.
* Минимум бюрократии, максимум ответственности и свободы. Работу меряем не количеством задач, а приростом модели на бенчмарках при том же бюджете. Подтверждённая гипотеза попадает в обучение следующей модели.
* Развитая инфраструктура.
* Зрелый стек для работы с данными и экспериментами: S3, YTsaurus, Airflow, DataLens, GitLab CI, wandb.
* Вы приходите не строить платформу с нуля, а исследовать — пайплайны, оркестрация, трекинг экспериментов и визуализация уже работают.
Location: Москва
Наша команда занимается построением витрин на платформе Hadoop, поставкой данных в различные системы. Предметная область - аналитика обслуживания физических лиц.
Обязанности
**•** Разработка витрин на b2c sql framework
**•** тестирование
**•** ведение чек-листов
**•** devops
Требования
• Обучение в российском ВУЗе на 3-6 курсе бакалавриата и специалитета или 1-2 курсе магистратуры
• Наличие любого опыта работы, релевантного направлению стажировки, а также опыта в проектах
• ETL
• GreenPlum
• Hadoop
• Spark
• Yarn
• SQL
Условия
• Оплачиваемая стажировка
• Длительность стажировки: 3-6 месяцев
• Формат работы: гибрид в г. Москва, проезд 2-й Южнопортовый, 12Ак1стр1
• 40 часов в неделю
• Возможность заниматься спортом в одном из спортзалов банка
• Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
• Вознаграждение за рекомендацию друзей в команду Сбера
Задачи: гарантировать отечественным и зарубежным участникам торгов и инвесторам открытую, без перебоев работу торговой площадки.
Требования: опыт работы с технологиями CI/CD, ETL, Kafka, ClickHouse, S3, Kubernetes, Spark, Python.
Условия: работа в крупнейшей в России по объему торгов и по количеству клиентов бирже — ПАО Московская Биржа.
География найма не уточнена
ГибридSan Francisco; New York
ГибридSan Francisco; New York
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Москва; Проводить поиск, сбор и генерацию траекторий использования инструментов, многошаговых рассуждений и взаимодействия со средой — чтобы агентные способности закладывались в модель уже на этапе претрейна, а не только в пост-обучении
Автоотклики