О РОЛИ
Tonkeeper ищет Senior-аналитика для управления финансовой аналитикой по всему портфелю продуктов (Tonkeeper и TON Wallet). Ваша ключевая цель — создание прозрачной системы отчетности, автоматизация сверок между ончейн-данными и внутренними записями, а также прямое взаимодействие с C-level менеджментом (CFO/CEO).
ОСНОВНЫЕ ЗАДАЧИ
— Лидирование финансовой аналитики: DEX-свопы, крипто-финансовые продукты, покупки активов.
— Построение и оптимизация dbt-моделей и ETL-процессов для финансовой отчетности.
— Автоматизация отчетности до формата «1-click» и сверка данных (Blockchain vs Internal records).
— Координация работы с внешними аудиторами по вопросам финансовой аналитики.
— Презентация аналитических выводов и инсайтов руководству компании.
ТРЕБОВАНИЯ К КАНДИДАТУ
— 5+ лет опыта в аналитике данных или финансов (преимущественно в FinTech/Crypto).
— Экспертное владение SQL и понимание принципов работы DWH (ClickHouse/Airflow).
— Финансовое образование или релевантный опыт в крипто-индустрии.
— Свободный английский (B2–C1) для коммуникации с внешними стейкхолдерами.
— Уверенная работа с Excel/Google Sheets и базовое понимание блокчейн-технологий.
БУДЕТ ПЛЮСОМ
— Опыт работы с Python (Pandas) для финансового моделирования.
— Практические навыки работы с dbt.
— Глубокое понимание метрик: LTV, TVL, Gross Margins, Revenue vs Cash Flow.
УСЛОВИЯ РАБОТЫ
— Компенсация медицинских расходов и предоставление необходимого оборудования.
— Доступ к передовым AI-моделям через внутренние сервисы.
— Отпуск 20 рабочих дней + 11 дополнительных Day Off + 14 дней оплачиваемого больничного.
— Доступ к внутренним конференциям, курсам английского и корпоративным ивентам.
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale.
This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team.
We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco Office — three days per week.
WHAT YOU’LL DO:
- Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
- Own End to End AI Systems: Drive key projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment
- Shape AI at Strava: Be a strong voice on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities.
- Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including recommendation systems, activity prediction, and personalized insights.
- Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features
YOU WILL BE SUCCESSFUL HERE BY:
- Driving innovation with Product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate and get buy-in for innovative techniques to improve existing products or explore new features that result in step function changes to how we build AI at Strava.
- Leading as an Owner: Owning your work end-to-end and being accountable for the outcomes in the projects you drive and landing impact for the business. Ensure the end-to-end system delivers as expected through collaboration with partners.
- Analyzing the Data: Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava’s features and measure impact.
- Collaborating in and across teams: Build relationships, advocate, and communicate with cross-functional partners and product verticals to identify opportunities and bring your technical vision to life.
- Raising the ML standard: Help work towards best practices for model development, deployment, and maintenance.
- Being passionate about the work you are doing and contributing positively to Strava’s inclusive and collaborative team culture and values
WHAT YOU’LL BRING TO THE TEAM:
- Have worked on numerous machine learning problems and broken them down into incremental tasks.
- Have demonstrated solid interpersonal and communication skills, and collaborative approach to drive business impact across teams.
- Have experience building, shipping, and supporting ML models in production at scale.
- Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, and Sagemaker.
- Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, and Snowflake).
- Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, and A/B testing.
- Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Ruby, Java, Scala, and Go.
For information on benefits, please click here. https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
Location: Wrocław
Qube Research & Technologies (QRT)
is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a group driven by technology and data, implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
You will work on systems and tooling at the intersection of trading infrastructure and market microstructure. The role focuses on building data pipelines, analytics and libraries that support execution analysis and improve trading performance. You will operate close to the trading stack, working with high resolution datasets and contributing to both research and production systems.
Your future role within QRT
Analyse trading behaviour across venues to identify execution inefficiencies and improve latency and fill performance
Develop Python libraries, data pipelines and tooling to process exchange protocols, order flow and large scale trading data
Build analytical frameworks, metrics and monitoring tools to evaluate execution quality and system performance
Contribute to production systems supporting live trading, including data validation, pipeline reliability and real time monitoring
Collaborate with stakeholders to translate analytical insights into measurable improvements in execution performance
Work with research and infrastructure teams to support ongoing development of execution analysis and market behaviour understanding
Your present skillset
Degree in Computer Science, Engineering, Mathematics or a related quantitative field
7+ years of professional experience in Python development, building libraries, data platforms or analytical tooling
Strong experience working with large scale and time series datasets using tools such as NumPy and Pandas
Solid SQL knowledge and experience working with analytical databases
Strong problem solving skills with the ability to investigate complex data and system behaviours
Ability to translate analytical or trading related problems into robust engineering solutions
Experience working in Linux environments and applying software engineering best practices such as testing, version control and continuous integration
Strong communication skills with the ability to collaborate across technical and non technical stakeholders
Familiarity with financial markets, electronic trading or execution analysis
Exposure to network protocols, packet analysis or performance optimisation techniques is beneficial
Experience with lower level programming languages such as C, C++ or Rust is advantageous
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work life balance.
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will join our Data & Analytics team, which owns two core data domains end to end:
• Public market data — trades, quotes, funding, and full order-book data continuously captured from global crypto exchanges at petabyte scale.
• Proprietary trading data — orders, fills, positions, balances, and settlement activity streamed from internal desks and systems.
We are one team rather than separate engineering and analytics functions. The same people build pipelines, model data, validate its correctness, and answer the business questions it supports. You will see data problems through end to end: from the exchange connection or internal source through to the analysis produced from it.
This is an exciting time to join. We are rebuilding the platform on ClickHouse, Apache Iceberg, and Kafka while continuing to support live trading. The work combines substantial platform design with hands-on ownership of business-critical data.
What You’ll Be Doing
• Build and operate pipelines that bring market and trading data into our platform, including ingestion, parsing, normalization, validation, and storage.
• Build and extend Python- and SQL-based datasets and data models used by trading desks, quants, research, and analytics teams.
• Own data correctness through source reconciliation, data-quality and completeness checks, gap and duplicate detection, backfills, and replays.
• Investigate discrepancies end to end. Trace unexpected numbers through the pipeline to the source and fix root causes rather than symptoms.
• Onboard new exchanges, venues, products, and internal data sources, addressing real-world external-feed behaviour including authentication, rate limits, disconnects, missing history, and schema changes.
• Support data users through query support, data access, APIs, and client libraries.
• Operate what you build, including monitoring, alerting, and incident response for owned pipelines and datasets.
• Contribute to the migration toward ClickHouse, Iceberg, Kafka, and Kubernetes by running new and legacy paths in parallel, reconciling results, and cutting over safely.
• Use AI coding assistants and LLM tooling to improve development, debugging, and data investigation, while applying sound judgement and independently validating outputs.
• Depending on team needs and your strengths, develop deeper expertise in either real-time platform and pipeline engineering or proprietary trading-data datasets and analysis. Both are core to the team.
What We Look For In You
• Bachelor’s degree or above in Computer Science, Engineering, or a related quantitative field.
• 3–5 years of hands-on experience in data engineering, software engineering, or analytics engineering.
• Strong production-quality programming skills in Java, Python, or both.
• Sound data-modelling judgement. You can design schemas that scale with evolving data and use cases, including keys, granularity, partitioning, and schema evolution.
• Ability to reason about query behaviour and performance over large datasets.
• Demonstrated production ownership. You have designed, delivered, and operated a pipeline, service, or dataset that other teams depend on, including its reliability, monitoring, and failure modes.
• Rigour in data correctness. You validate outputs before they reach users, cross-check against independent sources where possible, and treat silent data errors as serious defects.
• Structured problem-solving under uncertainty. You can decompose ambiguous data discrepancies, form and test hypotheses, and reach defensible conclusions while clearly stating assumptions and outstanding verification needs.
• Strong initiative and persistence. You identify gaps, act without waiting for direction, work through difficult problems, and get up to speed quickly on unfamiliar systems and domains.
• Strong communication skills in both Chinese and English.
Nice to Have
• Experience in crypto, market data, trading systems, or trading operations.
• Strong Java systems-engineering capability, including JVM and concurrency fundamentals, profiling, performance tuning, and reliable high-throughput services.
• Strong Python data-engineering capability, including pandas, Polars, PyArrow, or Spark; experience with vectorisation, memory behaviour, and processing datasets larger than memory.
• Experience delivering tested, packaged Python tooling that other teams depend on.
• Depth in trading-data analysis, such as reconstructing positions from fills, balances from transfers, or PnL across settlement or expiry boundaries.
• Experience reconciling derived trading data against authoritative sources and resolving discrepancies between systems.
• Experience with real-time streaming pipelines, ideally Kafka, including ordering, gap detection, checkpoints, restart recovery, and replay.
• Hands-on experience with time-series or analytical databases, including partitioning, retention, and query-performance tuning at scale.
• Exposure to Apache Iceberg, Parquet, Spark, gRPC, Kubernetes, or cloud data infrastructure.
• Experience building connectors to external REST or WebSocket APIs.
Working Model
• Hong Kong, onsite (in-office).
Perks & Benefits
• Competitive total compensation package.
• Learning and development programs and education subsidy for employees’ growth and development.
• Various team-building programs and company events.
• Wellness and meal allowances.
• Comprehensive healthcare schemes for employees and dependents.
• More that we would love to tell you about during the process.
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Ukraine; Poland; Germany
We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X - programmatic advertising platform.
You will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems.
This is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities.
Requirements:
5+ years of experience in machine learning / applied ML roles with production ownership
Proven track record of deploying and maintaining ML systems in real-world environments
Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow)
Solid knowledge of statistics, experimentation design, and model evaluation
Experience working with large-scale datasets and performance-critical systems
Understanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines)
Strong problem ownership mindset - ability to independently structure ambiguous challenges
Ability to translate business trade-offs into modeling decisions
Experience in AdTech, marketplaces, or auction-based systems is a plus
Experience working in high-scale, real-time systems is a plus
Responsibilities:
Take ownership of machine learning problems from concept to production
Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting)
Develop scalable feature engineering and data pipelines for large-scale datasets
Define experimentation frameworks (A/B testing, offline validation, model comparison)
Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability
Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact
Quantify model impact on revenue, margin, and performance KPIs
Contribute to building our long-term ML architecture and best practices
What we offer:
Comfortable environment, challenging tasks and a long-term interesting project;
Covered 20 days of vacation;
Working with top notch equipment;
Bookkeeping by a professional accountant;
Help and support from our caring HR-team;
Location: European Union
Company Intro
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Serbia
, and more.
About the Role
Technical consultants
play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than
3 years
of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
Responsibilities
1. Client Ownership & Communication
Act as the primary technical point of contact for customers across technical and executive stakeholders.
Lead discovery conversations to deeply understand client goals, problems and quality criteria.
Translate client needs into clear, actionable solution designs and delivery plans.
Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls.
Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
Run experiments and pilots to validate quality, throughput, and cost assumptions.
Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
Prioritize work based on customer impact and business value.
Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
Continuously optimize solutions through iteration, automation, and adoption of new technologies.
Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
Drive solutions toward stable operation with minimal ongoing maintenance.
Requirements
Core Experience
Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
Experience designing multi-stage pipelines and complex systems.
Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
Experience with crowdsourcing, expert workflows, or large-scale data labeling.
Experience working on ML training, evaluation, or agentic systems.
Familiarity with quality frameworks, audits, or data validation pipelines.
What we can offer
Full-time independent contractor engagement (B2B)
through the
Ontop
contractor platform
, working via your own company or business entity;
Flexible, fully remote schedule (
40 hours per week
);
Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;
Projects with customers that are AI industry leaders and well-known household names;
Friendly community.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our
Privacy Notice
.
Location: Remote, Canada
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
The Role
We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.
You are a talented Senior Applied Researcher, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Required Experience
- Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).
#LI-AV1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $144,000-181,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Remote - US
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
The Role
We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.
You are a talented Senior Applied Researcher looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Required Experience
- Ph.D. grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).
#-LI-AV1
#LI- remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $163,000-204,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Intellias
Meet your recruiter
Gerasim Naydenov
gerasim.naydenov@intellias.com
https://www.linkedin.com...
Vacancy details
Software Engineering
Python Engineer
Senior
Bulgaria, Croatia
Hybrid
APPLY NOW
REFER A FRIEND
Let’s breathe life into great tech ideas! With more than 3 000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.
What project we have for you
Our team operates at the frontlines of our efforts to support Google and owns the campaign management functionalities that allow users to scale, automate and optimize their ad operations on Google Ads.
Join us in building new end-to-end automation solutions and scaling existing automation pipelines to help our customers automatically launch and iterate their Google advertising.
The team has recently started working with exciting new campaign types within Google Ads and we’re looking to scale up our team to expand our Google Ads offering.
What you will do
Design, build and maintain backend services that sit at the core of client campaign optimization products.
Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
Support data scientists in bringing machine learning models to production.
Mentor your team on software development practices and propagate best practices like testing, monitoring, or clean code.
Use your skills and experience to continuously improve our software architecture, coding practices, tools, and processes.
Work with our stakeholders – be them product, engineering, infrastructure – to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must.
Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
Impact the daily life of the staff of the hundreds of advertisers using client platform
What you need for this
We’re seeking an experienced Software Engineer with Strong Python skills
Strong experience in Data Science, NLP, Generative AI demonstrated through relevant projects or research.
Proficiency in programming languages such as Python and libraries/frameworks like FastAPI, pandas, polars, TensorFlow, PyTorch, etc. and cloud AI services Aws/Azure/GCP
Proven ability to bridge the gap between technical concepts and business impact, with a clear understanding of how data science aligns with business goals.
Excellent communication skills, strong sense of ownership and ability challenge product decisions with both technical and non-technical stakeholders.
Experience developing and maintaining services under SLA
Analytical mindset with a problem-solving approach
Passion for solving customer challenges quickly while making thoughtful architectural decisions
Adaptability and resilience when facing new or ambiguous challenges
Strong written and verbal communication skills in English
M.Sc. in a relevant field is preferred
Nice to have:
Experience with CausalML frameworks.
Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
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
AI/ML
AWS
GCP
Python
Задачи:
— Доработка бекенда и фронтенда BI-инструмента Apache Superset;
— Кастомизация визуализаций (интерфейса/чартов/фильтров) как в рамках преднастроенных возможностей, так и в рамках добавления новых полей и функций;
— Конфигурирование, обновление версий Apache Superset, а также решение технических проблем, связанных со стандартным функционалом (ошибки, баги, недоработки);
Требования:
— Опыт работы в роли фуллстек-разработчика от 4-х лет;
— Понимание принципов работы и навыки программирования на Node.js;
— Знание JavaScript, Typescript, Python;
— Опыт разработки веб-приложений с использованием фреймворков React, Vue.js;
— Опыт работы с Pandas, Django/Flask;
— Уверенное владение языком запросов SQL, применение макросов и Jinja-шаблонов;
— Понимание принципов работы Docker, CI/CD.
Дополнительно:
— Опыт работы с Apache Superset или близкими по архитектуре системами;
— Опыт работы с PostgreSQL, Redis, Celery;
— Опыт работы с Linux, Bash, Git, создания контейнеров Docker, Gitlab CI/CD или аналоги.
Условия:
— Удаленная работа, полная занятость.
Location: Москва
О нас:
Мы команда Цифрового Ассистента B2C. Мы создаем продукт, который ежедневно помогает десяткам миллионов наших клиентов на новом уровне пользоваться услугами и продуктами Банка и Экосистемы.
Сейчас наша команда разрабатывает новый функционал, позволяющий клиентам решать не только повседневные, но и более сложные комплексные задачи и цели, которые могут состоять из множества взаимосвязанных шагов и быть распределенными во времени.
Для решения задачи в нашем распоряжении цифровая платформа и широкий набор инструментов, представленных мультиагентной системой на основе LLM GigaChat, интегрированной со множеством банковских сервисов.
Мы предлагаем:
· Возможность создавать и развивать инновационный продукт, использующий передовые технологии и задающий тренды в отрасли.
· Работу в кросс-функциональной команде сильных специалистов.
· Широкое пространство для развития и реализации ваших идей и экспертизы.
· Современный технологический стек и развитая IT-инфраструктура.
Обязанности
* Проектирование и разработка новых платформенных инструментов и агентов и расширение функционала существующих
* Проведение глубокого анализа данных и пользовательских сценариев мультиагентной системы, проработка функциональных требований к новым специализированным агентам.
* Разработка и улучшение платформенных механизмов, таких как система роутинга, оркестрации, планирования, управления контекстом и памятью, извлечения инсайтов.
* Разработка комплексной системы метрик качества как отдельных компонентов системы, так целых компонентов системы.
* Создание пайплайнов автоматизации мониторинга и визуализации метрик, в том числе с применением подхода LLM-as-a-Judge.
Требования
· Высшее техническое или математическое образование.
· Опыт в сфере машинного обучения и анализа данных от трех лет.
· Глубокое понимание принципов работы и архитектур LLM, NLP и классических ML-алгоритмов, знание математической статистики и теории вероятностей.
· Владение на высоком уровне основными инструментами и фреймворками для ML разработки, аналитики и обработки больших данных, работы с LLM агентами (pandas, numpy, sklearn, pytorch, langchain, langgraph, pyspark)
· Уверенные практические навыки работы с LLM и промпт-инжениринга.
· Понимание принципов построения промышленных микросервисных архитектур, мультиагентных систем и LLM-приложений.
Условия
· Гибридный режим работы, комфортный современный офис на м. Кутузовская.
· Ежегодный пересмотр зарплаты, годовая премия.
· Корпоративный спортзал и зоны отдыха.
· Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития.
· Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа.
· Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.
· Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.
· Вознаграждение за рекомендацию друзей в команду Сбера.
Location: Ukraine
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
BSc in Computer Science, Mathematics, or related field.
5+ years of professional experience working on AI/ML projects.
Good command of English (written and spoken).
Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
Good grasp of software-engineering best practices: Git, code reviews, testing, CI.
Preferred Qualifications
Knowledge of C++ or C# for performance-critical modules.
Experience deploying models via Docker, Kubernetes, or cloud AI services.
Exposure to vector databases and RAG workflows.
Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
Familiarity with modern data lake architectures and scalable data storage concepts.
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring a Usability Engineer for our Design Team.
User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company.
This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards.
Location:
This role will be based remotely in the EMEA region.
The role entails
Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings.
Prototyping for impact: Building lightweight prototypes, data visualization dashboards, or automation scripts to enhance broader consumption of research.
Responding to audience needs: Calibrating research presentations with sensitivity and precision in a highly technical environment, understanding what level of depth is right for each stakeholder.
Promoting a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows.
Building research scalability and interoperability: Strengthening research ops infrastructure, making key methodologies more accessible, actionable, and repeatable.
Fostering a learning culture: Contribute to the evolving definition of User Science through user-centered training, resource development, and outreach.
What we are looking for in you
Exceptional academic track record from both high school and university
Bachelor’s or Master’s degree in a related field such as Design, Engineering, Data Science or similar, or a compelling narrative about your alternative chosen path.
User research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis.
Tinkerer mindset: A passion for hacking, exploring, and building creative solutions, whether through technical prototyping, scripting, or research tooling.
A degree of technical fluency: Ability to quickly pick up technical concepts, engage deeply with engineering and process optimization teams, and contribute to cross-functional discussions.
A talent for optimization: A strong alignment towards building research ops, systematizing best practices, and creating frameworks for broader knowledge-sharing.
Finely tuned communication skills: Impeccable verbal and written communication abilities, characterized by warmth, precision, and a commitment to maintaining high-quality standards.
Portfolio: A robust portfolio showcasing a range of user research, design, or engineering projects that show a talent for exploration, optimization, and transforming insights into action.
Nice to have skills
Experience with Linux.
Some conceptual knowledge of container tech (such as LXD, Docker, Kubernetes), OpenStack deployment or operations, or public or private cloud management.
Some experience with or interest in data analysis frameworks in Python (e.g. pandas, seaborn), R, MATLAB or similar.
A proven track record of contributing to Open Source projects or communities.
A passion for aesthetics, visualization, or design.
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Hong Kong
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm.
Your future role within QRT
This team is integral to the firm’s success. As such, your responsibilities will include:
Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions
Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
Working with Engineers to automate and optimise your code, ensuring robust data extraction processes
Managing the end-to-end process of onboarding new datasets
Proactively solving data related problems to minimise time to production
Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit
Your present skillset
3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
Demonstratable interest in financial markets and the application of data in its analysis and understanding
Experience working with both traditional and alternative financial datasets
Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
Ability to work in a high-performance, high-velocity environment
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Scientist to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Key Responsibilities:
Build and deploy models for:
Price Elasticity / Conversion Prediction
Churn Propensity / Retention Uplift
Segment Discovery & Similarity (Clustering, KNN)
Offer Recommendation / Ranking (Scoring Models)
Design A/B testing and uplift modeling to evaluate campaign performance.
Develop simulation engines for pricing what-if analysis and scenario testing.
Create automated pipelines for model training, scoring, and retraining.
Work closely with Data Engineers to ensure feature store alignment.
Collaborate with the Business Decisioning team to translate insights into rules and thresholds.
Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models.
Required Skills:
Experience Level: 5–8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems
Strong foundation in Machine Learning, Statistics, and Econometrics.
Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM).
Experience with model lifecycle management (MLOps).
Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc.
Ability to design feature engineering pipelines and perform A/B testing.
Expertise in data visualization and storytelling for non-technical stakeholders
Preferred (Nice-to-Have):
Experience with Telecom Offer & Recharge Modeling or Dynamic Pricing Systems.
Knowledge of Pricefx PriceAI, Adobe Target Recommendations, or Reinforcement Learning frameworks.
Understanding of Elasticity Curves, Customer Lifetime Value (CLV), and Offer Fatigue Modeling.
Experience integrating ML outputs into business decision engines or rule systems.
Location: Poland; Ukraine; Georgia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
What you will do
- Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.
- Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.
- Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences.
- Contribute to analytical planning and ensure alignment with overall business objectives.
- Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.
- Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.
What you bring
- Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing).
- Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation.
- Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
- Experience leading or mentoring analytics teams and coordinating with business stakeholders.
- Excellent communication skills, able to translate between technical and business perspectives effectively.
- Solid understanding of business processes and data structures.
- Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value.
- Fluency in English for meetings with international clients.
Nice to have
- Hands-on experience with deep learning, computer vision, or generative AI projects.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
- Experience with data visualization or BI tools for communicating insights.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: Toronto; San Francisco; London; New York; Paris; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization.
Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EU.
Key Responsibilities:
- Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.
- Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency.
- Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.
- Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.
Qualifications:
- Strong software engineering skills, with proficiency in Python and experience building data pipelines.
- Familiarity with curriculum learning, data mixing and data attribution.
- Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
- Experience working with large-scale datasets, including web data, code data, and multilingual corpora.
- Knowledge of data quality assessment techniques and experimentation with data mixtures.
- A passion for bridging research and engineering to solve complex data-related challenges in AI model training.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Wrocław
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УдалённоToronto; San Francisco; London; New York; Paris; Montreal; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
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