Location: Canada
Workplace: remote
We’re seeking an experienced Quality Reviewer to audit work completed by raters evaluating a personalization feature within a maps/search experience.
As a Reviewer, you will ensure outputs meet formatting and guideline requirements, are logically aligned to scenarios, and include complete, accurate evidence.
Contract type: Freelance
Language: French (Canada)
Estimated volume:Approximately 30 hours per week, depending on the required review target and project volume.
Start date: ASAP
What you will do:
Review rater worksheets for compliance with formatting requirements.
Verify that responses are logically correct and aligned with the assigned scenarios.
Assess ratings and rationales for accuracy, consistency, and completeness.
Confirm that required screenshots, retrievals, and personalization evidence meet project guidelines.
Provide clear, concise, and actionable feedback; request corrections where needed.
Flag ambiguous cases, systemic issues, or guideline gaps to the project team.
Requirements:
To be located and have the right to work in Canada.
An existing, actively used
Gmail account
.
Proven experience in Quality Audit/QA review (content evaluation, relevance, or similar).
Familiarity with maps/local search user experiences and personalization concepts.
Strong proficiency with spreadsheets (Google Sheets or equivalent).
Excellent attention to detail and consistent application of guidelines.
Clear written communication and a constructive feedback style.
Please note:
This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve.
A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.
Location: Japan
Workplace: remote
We’re seeking an experienced Quality Reviewer to audit work completed by raters evaluating a personalization feature within a maps/search experience.
As a Reviewer, you will ensure outputs meet formatting and guideline requirements, are logically aligned to scenarios, and include complete, accurate evidence.
Contract type: Freelance
Language: Japanese (Japan)
Estimated volume: Approximately 30 hours per week, depending on the required review target and project volume.
Start date: ASAP
What you will do:
Review rater worksheets for compliance with formatting requirements.
Verify that responses are logically correct and aligned with the assigned scenarios.
Assess ratings and rationales for accuracy, consistency, and completeness.
Confirm that required screenshots, retrievals, and personalization evidence meet project guidelines.
Provide clear, concise, and actionable feedback; request corrections where needed.
Flag ambiguous cases, systemic issues, or guideline gaps to the project team.
Requirements:
To be located and have the right to work in Japan.
An existing, actively used
Gmail account
Proven experience in Quality Audit/QA review (content evaluation, relevance, or similar).
Familiarity with maps/local search user experiences and personalization concepts.
Strong proficiency with spreadsheets (Google Sheets or equivalent).
Excellent attention to detail and consistent application of guidelines.
Clear written communication and a constructive feedback style.
Please note:
This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve.
A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.
Location: Budapest, Budapest, Hungary
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
Interacts with customers to address their inquiries and problems in real-time. Quick responses through live chat and professional, courteous customer service are among your duties. Additionally, following up on help requests usually requires email communication as part of your tasks.
What You’ll Be Doing
Handling inquiries and issues from global customers in multiple languages through various channels, including email, chat, and voice.
Collaborating with internal and external stakeholders, such as product managers and the marketing team, to address complaints and feedback related to websites, products, platforms, and services, etc.
Maintaining a strong understanding of company products to effectively communicate with customers in their preferred language.
Establishing and nurturing strong relationships with company partners and external stakeholders.
Escalating any queries or unresolved issues to Level 2/Supervisors as directed by the operations management when they can not be resolved within standard procedures.
W
hat We Look For In You
A Diploma in finance, customer service & relations, linguistics, crypto-related studies, or a related field.
At least 2 years of experience in language-related roles, including translation, interpretation, or localization.
Proficiency in both spoken and written language relevant to the job, along with a high level of English & Portuguese language proficiency.
Ability to work independently in a fast-paced environment and deliver multilingual support.
Willingness to work according to a given schedule to support 24x7 language-related operations.
Strong interpersonal skills: the ability to navigate challenging language situations and remain composed under pressure.
Problem-solving mindset: a dedication to finding the right linguistic solutions for customers, overcoming language barriers, and making cost-efficient decisions.
Excellent time management: the ability to handle multilingual tasks effectively while managing time efficiently.
Quick learner: the ability to quickly grasp new linguistic concepts and adapt to the evolving language needs of customers.
Nice to Haves
Familiarity with cryptocurrency and/or finance-technology industry.
Working knowledge of CRM tools, such as Zendesk.
Basic computer knowledge: MacOS, Lark, Microsoft Office, and G-Suite.
Why Join Us?
Competitive remuneration package
Yearly performance bonus
Excellent prospects for growth and promotion - we provide you with assistance, opportunities for skill development, mentoring, and training programmes to help you succeed.
Employee engagement, recognition and appreciation program.
Multinational working environment - Advance your career by interacting with individuals from various backgrounds, cultures, and nations.
#LI-HYBRID
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: Johannesburg, South Africa
P.I. Works is the first company in the world to automate the management of a commercial 5G network.
Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 84 mobile operators in 58 countries around the world.
Our success is built by our people that strive for excellence and deliver great value to our customers.
At the core of our success are a culture built on integrity, trust, and respect. We are looking for
Network Data Solutions Delivery Engineer
to lead mobile network product delivery projects, with a focus on next-generation optimization techniques with Network Automation Solutions, and keeps full engagement with our customer as a single point of contact.
Job Description:
Work closely with customer mobile network teams for network performance monitoring and reporting activities
Provide onsite support for customer and feedback to product, integration and support teams
Create custom dashboards and automated reports on key business metrics for various use cases
Participate in technical meetings, monitor products performance, track customer demands
Prepare and issue technical guidelines and results of technical studies
Prepare and issue engineering level and executive-level reports
Required Qualifications:
Diploma from Engineering Departments relevant to Mobile Telecommunications or Computer Science
Basic Knowledge on Telecom domain KPIs and Parameters (Radio, Core, Transmission)
Good level of SQL and ETL platform knowledge, able to write complex SQL queries
Experience with tools in performance management (Optima/Helix, PrOptima, PRS, Eniq, etc.) is a plus
Very good command of English
Must have an excellent customer relationship with both verbal and written communication skills
Experience with OEM vendor EMS/OSS systems and Managed Objects, parameters and measurements is a plus
Reporting / BI Tools experience (PowerBI, Tableau, Qlikview, etc.) is a plus
Location: The Netherlands; Poland; Portugal; France; United Kingdom; Spain; Germany; Italy
About the team
The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for an experienced, hands-on security practitioner, who will drive the adoption of modern security processes and tooling, with focus on supporting our engineering and product teams in improving the security posture of our platforms and services.
Note: This position can be fully remote anywhere in the Netherlands.
What you will do:
- Collaborate with engineering and product on improving existing and building new product features with focus on threat modeling, assurance and secure implementation, some examples of recent work include implementation of secure key management, passwordless authentication, m2m authentication, sandboxing and compute/network/storage isolation
- Identify security gaps and vulnerabilities in ClickHouse Cloud and OSS, triage a wide range of vulnerabilities reported via our bug bounty program, responsible disclosure, GitHub Issues covering web, API and server - client assets including low level memory issues like heap or buffer overflows
- Improve and develop security assurance activities - pentests, vulnerability assessments, bug bounty programs, fuzzing
- Drive implementation and usage of engineering security tools - static, dynamic code analysis, dependency checks, code licensing compliance (working knowledge of Snyk, Semgrep, GitHub CodeQL)
- Nurture the engineering - security relationship, identify and implement process and technology improvements
- Handle information security events and incidents across ClickHouse products and services
- Develop processes, tooling and automation to scale security processes and mitigate risks to the business
What you bring along:
- Experience supporting engineering and product implementation efforts by performing threat assessments, assurance activities, advisory as well as, in some cases, implementation work across distributed systems covering web, API, client/server assets
- Strong knowledge of and experience with one or more cloud service providers (e.g. AWS, GCP, Azure), Kubernetes, Cilium
- Experience implementing and operating engineering security tools and processes (e.g. static / dynamic code analysis, software composition analysis, SBOM, OWASP SAMM, client and network fuzzing tools)
- Significant development and automation experience, ability to work with C++ code
- Security as code mindset, with focus on solving problems with automation and scale in mind
Bonus Points:
- BS, MS, or PhD in Computer Science or related field
- Previous contributions to open source projects
- Security or cloud related certifications (AWS, GCP, Azure)
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: United States
Workplace: Remote
About the team
The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for an experienced, hands-on security practitioner, who will drive the adoption of modern security processes and tooling, with focus on supporting our engineering and product teams in improving the security posture of our platforms and services.
What you will do:
- Collaborate with engineering and product on improving existing and building new product features with focus on threat modeling, assurance and secure implementation, some examples of recent work include implementation of secure key management, passwordless authentication, m2m authentication, sandboxing and compute/network/storage isolation
- Identify security gaps and vulnerabilities in ClickHouse Cloud and OSS, triage a wide range of vulnerabilities reported via our bug bounty program, responsible disclosure, GitHub Issues covering web, API and server - client assets including low level memory issues like heap or buffer overflows
- Improve and develop security assurance activities - pentests, vulnerability assessments, bug bounty programs, fuzzing
- Drive implementation and usage of engineering security tools - static, dynamic code analysis, dependency checks, code licensing compliance (working knowledge of Snyk, Semgrep, GitHub CodeQL)
- Nurture the engineering - security relationship, identify and implement process and technology improvements
- Handle information security events and incidents across ClickHouse products and services
- Develop processes, tooling and automation to scale security processes and mitigate risks to the business
What you bring along:
- Experience supporting engineering and product implementation efforts by performing threat assessments, assurance activities, advisory as well as, in some cases, implementation work across distributed systems covering web, API, client/server assets
- Strong knowledge of and experience with one or more cloud service providers (e.g. AWS, GCP, Azure), Kubernetes, Cilium, Crossplane
- Experience implementing and operating engineering security tools and processes (e.g. static / dynamic code analysis, software composition analysis, SBOM, OWASP SAMM, client and network fuzzing tools)
- Significant development and automation experience, ability to work with C++ code preferred
- Security as code mindset, with focus on solving problems with automation and scale in mind
Bonus Points:
- BS, MS, or PhD in Computer Science or related field
- Previous contributions to open source projects
- Security or cloud related certifications (AWS, GCP, Azure)
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Paris; Palo Alto; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
We are seeking a highly skilled and motivated Technical Program Manager to lead and scale human data annotation operations for our Code team. In this pivotal role, you will collaborate closely with researchers to define and drive data strategies. This role is a critical link between research, product, engineering, and annotation teams, and will be key in accelerating research at Mistral AI.
WHAT WILL YOU DO
- Partner closely with code research team to develop data strategies and translate research needs into operationalizable human data annotation campaigns
- Drive human data annotation campaigns, from scoping through delivery, balancing data needs, budget, delivery timeline
- Manage a data quality assurance team that designs and implements rigorous and scalable quality control processes, including running automated and manual checks, synthesizing actionable insights, and driving continuous improvement
- Establish and maintain strong relationships with annotation teams (e.g. contractor, vendor) to generate high quality data, spanning phases across sourcing, contracts, onboarding / training, performance monitoring, etc.
WHAT WE'RE LOOKING FOR
- 5+ years of relevant experience, with a blend of software engineering and technical program management
- Strong technical foundation in Python
- Highly organized, detail-oriented, and able to work well under pressure - excellent project management skills, with the ability to successfully manage multiple projects simultaneously
- Great communication skills, capable of engaging effectively with both technical and non-technical stakeholders
- Autonomous and proactive problem-solver with a continuous improvement mindset
- Experience leading a team, with a low ego and team spirit mindset
- Embraces hands-on, operational work in a fast-paced and dynamic environment
Nice to have criteria/ would be ideal if you have/are:
- Proficiency in JavaScript/TypeScript and experience in modern web frameworks (FastAPI, Django, React, …)
- Experience with operations around data collection, annotation, and/or quality assurance
- Experience with vendor and/or contractor management
- Understanding of and interest in LLMs
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; Amsterdam; London; Lausanne
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
- Work across a diverse set of complex real world problems such as robotics, engineering, finance, cybersecurity, physics and more.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
- Manage research projects and communications with client research teams.
WHAT WE'RE LOOKING FOR
- Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- Ex-founder or builder
- PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
- Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
- Experience working on large code bases or large machine learning models at scale.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Pasig City, Philippines
JOB DESCRIPTION
Summary:
The
ERP System Operations Project Manager
leads the international arm of ClinChoice’s Global ERP Administration function and collaborates with the company’s international cross-functional teams to support users in their day-to-day use of Microsoft Dynamics 365. The role also works with the company’s ERP development team and third-party vendor to maintain and optimize ERP system operations.
Responsibilities:
Lead the International ERP Administration team and oversee first-level technical and functional support for international users of Microsoft Dynamics 365 modules.
Collaborate closely with international cross-functional teams across multiple entities and with key ERP stakeholders to diagnose system issues, recommend solutions, and continuously identify opportunities to improve ERP performance.
Analyze business requirements; prepare functional specifications and design documentation; and manage change requests, service requests, and budget alignment and
Manage the full system project lifecycle, including project kickoff, planning, issue tracking, timeline management, and testing coordination. Oversee testing activities and release schedules to ensure the successful delivery of system enhancements.
Manage ERP timesheet operations and support resource planning. Monitor company-wide timesheet and resource-planning processes to ensure satisfactory monthly completion and approval rates. Continuously evaluate and optimize timesheet-management processes and training programs.
Manage ERP user permissions and oversee the development, maintenance, and review of system-related standard operating procedures.
Manage the tracking and prioritization of open requests, ensuring the timely resolution of critical system issues.
Lead and facilitate ERP project meetings with stakeholders at all organizational levels.
Design, develop, and deliver company-wide application training programs, including monthly ERP timesheet training for new hires, line managers, and project functional leads.
Evaluate, initiate, and lead cross-functional standardization and automation initiatives that drive continuous business process improvement and operational efficiency.
Skills and Qualifications:
Bachelor’s degree or higher in information systems, computer science, accounting, finance, or a related field.
Minimum of
5 years of experience in ERP operations or finance systems support
. Hands-on experience with
Microsoft Dynamics 365
is
highly preferred
.
Strong written and verbal communication skills, with excellent analytical and problem-solving abilities.
Proven ability to lead cross-functional initiatives and manage multiple projects simultaneously.
Experience managing system implementation, maintenance, and continuous improvement initiatives.
Advanced proficiency in Microsoft Office applications, including Excel, Word, PowerPoint, and Outlook.
Ability to work effectively as a collaborative team member and support operations across multiple time zones.
Business-level proficiency in English is required
, and
proficiency in Mandarin Chinese is preferred
for daily collaboration with the ERP vendor and the China IT team, along with availability across time zones during the financial close period.
Flexibility to support
U.S. and European time zones.
Location: Metn, Lebanon
The Company
At Toters, we are on a mission to be the heartbeat of local economies, driving growth by connecting people with anything they need, fast. We believe in turning big ideas into real-world impact, empowering local businesses and making everyday life easier for our customers. Join us, and be part of a team that's obsessed with getting things done, solving real problems, and changing the way customers shop and transact in the Middle East.
Technology is at the heart of everything we do, and we have product and engineering teams that are working hard every day to bring products that enrich our customers' lives on a daily basis. We're a team of doers, dreamers, and problem-solvers, united by a passion for innovation and a drive to grow local economies. Here, your ideas matter, your growth is our priority, and your impact is tangible. We offer a dynamic environment where you can learn, lead, and shape the future of commerce, all while being surrounded by a community that celebrates your successes and supports your growth. If you are interested in working in a fast-paced, high growth startup environment, and look to be part of a team that will change the way customers shop for food and groceries in the Middle East, apply now.
The team
At Toters, we're not just delivering food and groceries; we're reimagining the future of how people connect with their communities and access any service or product they need. Our Product team is at the heart of this mission, driving innovation and creating seamless experiences for users across several markets. We're looking for passionate and driven Product Managers to join us in shaping the next generation of our platform and making a tangible impact on millions of lives.
The Role
As a Product Manager at Toters, you will be a key driver in defining the strategy and execution for high-impact products that span our user base in multiple countries. You will own the product vision, define the roadmap, and work collaboratively with cross-functional teams to bring innovative solutions to life. This role is open for
PMs at all levels
and offers
the exciting opportunity to tackle complex challenges, leverage cutting-edge technologies, and directly contribute to Toters' growth and success in a dynamic and rapidly evolving environment.
You're Excited About This Opportunity Because You Will…
Shape the Future:
Define the product vision, strategy, and long-term roadmap for key areas of the Toters platform.
Lead Cross-Functional Teams:
Collaborate closely with designers, engineers, data scientists, and operations to translate vision into impactful products.
Drive Innovation:
Identify market opportunities, conduct user research, and translate insights into compelling product features and enhancements.
Own the Execution:
Manage the product lifecycle from ideation to launch, ensuring timely and high-quality delivery.
Communicate and Influence:
Clearly articulate product plans, benefits, and results to stakeholders across the organization, including leadership.
Solve Real-World Problems:
Develop solutions that address the evolving needs of our users and contribute to the growth of local economies.
We're Excited About You Because You Have…
Minimum of 8+ years of proven experience in software product management. Alternatively, 4+ years of experience in software development or engineering, management consulting, or investment banking.
A bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
A strong track record of collaborating effectively with design, engineering, and other cross-functional teams to deliver successful product releases.
Excellent written and verbal communication skills, with the ability to articulate complex ideas clearly and persuasively.
A passion for understanding user needs and a drive to build impactful and user-centric products.
Strong project management and organizational skills, with the ability to prioritize effectively and manage timelines.
A proactive and results-oriented mindset, with strong problem-solving skills and a willingness to dive deep and get things done.
Joining Toters means more than just a job; it's an investment in your career and future. We offer market-leading compensation coupled with first-class insurance coverage. You'll find ample opportunities for career development, empowering you to grow and advance within our rapidly expanding company. As part of the Toters family, you'll also enjoy exclusive employee discounts on our services, allowing you to experience firsthand the magic we bring to our users. Above all, you'll be welcomed into a friendly and collaborative team environment that is passionate about growth and development, and in building the best products for our customers, merchant partners, and drivers.
Location: New York; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team.
WHAT YOU’LL WORK ON:
- Improve existing methods and develop new techniques for large-scale model training, optimization, and inference
- Extend models to long-context and long-horizon tasks
- Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments
YOU MAY BE A FIT IF:
- You’re currently pursuing a PhD in computer science, machine learning, or a related field
- You have a demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas
- You have experience developing and evaluating large-scale models or machine learning systems
- You’re familiar with distributed training, large-scale inference, or multi-GPU environments
- You have publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR
- You have strong programming and engineering skills and can translate research ideas into working implementations
- You have a collaborative, mission-driven mindset and can work effectively across research and engineering teams
Location: Remote - Bengaluru, India
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
The Field Architect role at MinIO is a senior customer-facing technical leadership position focused on defining, validating, and guiding AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes.
You will collaborate closely with the broader MinIO team to ensure customers are successful through technical discovery, architecture design, proof-of-value execution, production onboarding, performance validation, and long-term expansion. Success in this role requires deep technical curiosity, hands-on architecture skills, strong communication, and the ability to connect AIStor’s capabilities to the data-intensive workloads that matter most to our customers.
What You Will Do:
Technical Leadership & Architecture
Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map directly to those requirements.
AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services.
Object Storage and S3 Expertise: Serve as a subject matter expert in object storage, S3-compatible architectures, distributed systems, metadata, replication, erasure coding, security, performance tuning, and large-scale namespace design.
Customer Engagement & Advisory
Customer Technical Advisor: Build trusted relationships with customer technical stakeholders, including infrastructure, platform, analytics, AI, security, application, and operations teams. Guide customers toward informed architecture decisions and proactively identify opportunities to improve performance, resilience, scale, and operational efficiency.
Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements that demonstrate AIStor’s value in real customer environments.
Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and from initial deployment to broader adoption across additional workloads, teams, and use cases.
Ecosystem, Enablement & Field Operations
Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models.
Solution Integration and Ecosystem Collaboration: Work with technology partners, reseller partners, and customer teams to support complete solutions involving analytics engines, AI platforms, Kubernetes distributions, data protection tools, identity systems, observability platforms, and public cloud services.
Technical Presentations and Enablement: Build and deliver compelling architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and technical enablement sessions for customers, partners, and internal teams.
RFP, RFI, and Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations.
Product Intelligence & Market Expertise
Product and Engineering Feedback: Advocate for customer requirements internally by capturing field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities. Work with Product and Engineering teams to help inform roadmap priorities and improve customer outcomes.
Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends. Help internal teams and customers understand where AIStor is differentiated.
Your Skills and Experience:
Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications.
Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is highly valuable.
10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant.
Hands-on experience with Linux, networking, storage systems, virtualization, containers, Kubernetes, and modern data center infrastructure.
Experience designing or supporting AI, machine learning, analytics, data lakehouse, or large-scale data pipeline environments.
Familiarity with ecosystem technologies such as Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks is a strong plus.
Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms.
Ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly.
Comfortable working with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams.
Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate complex technical concepts to both technical and executive audiences.
Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams.
Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment.
Willingness to travel as needed to support customers, partners, field events, and internal team activities.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Sr. Analytics Engineer, R&D.
About the job
This position is needed to advance the consistency & quality of our R&D analytics data layer and accelerate the development velocity of analysts. Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics.
Responsibilities
In this role, you’ll:
Design and implement a formal analytics data layer using AWS Glue, Athena / Presto, and LookML
Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage
Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences
Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
4-5 years of professional experience in analytics engineering, data engineering, or a related discipline
Strong expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies
Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment
Proven track record of owning ambiguous projects from beginning to end with minimal guidance
Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences
Desired:
5+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment
Expertise in Python; distributed computing technologies like Hive, Presto, and Spark; and dashboarding tools like Looker or Tableau
Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability
Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization
Location
This role will be remote,
but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00 -- $176,900.00
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 - $187,300.00.
Based in the San Francisco Bay area, California: $166,400.00 - $208,000.00
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until 8/10/2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote - EMEA
Workplace: Remote
ABOUT US
Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.
JOB SUMMARY
We’re looking for a highly technical, systems-minded Senior Product Manager to lead two critical search intelligence teams: Machine Learning & Recall and Query. Search at Constructor is fundamentally an ML challenge, and this role sits at the absolute entry point of our discovery pipeline, right where shopper intent meets candidate retrieval.
In this role, you will bridge the Query team (understanding what a shopper means across intent, entities, and language) with the Machine Learning & Recall team (retrieving the exact right set of candidate products across massive catalogs). You will define strategy across both domains, balancing state-of-the-art techniques, such as vector search, semantic parsing, dense embeddings, and LLM-assisted query interpretation, with low-latency production execution. You won’t be measured on shipping features for the sake of it; you’ll be measured on candidate quality, query accuracy, and driving business outcomes like conversion rate, search-attributed revenue, and revenue per visit.
WHAT YOU’LL DO
- Set a unified roadmap: Define the multi-quarter vision and strategy across both the Machine Learning & Recall and Query teams, ensuring query understanding and candidate generation evolve hand-in-hand.
- Drive Query intelligence: Lead the Query team to push boundaries in tokenization, spell correction, entity extraction, intent classification, and LLM-assisted query parsing across multiple languages.
- Advance Recall systems: Lead the Machine Learning & Recall team in evolving candidate generation architecture, seamlessly combining traditional keyword search with modern dense embeddings, vector retrieval, and hybrid recall models.
- Move core business metrics: Own measurable lift in search-attributed conversion, revenue per visit, and GMV across all retail customer verticals.
- Turn research into production wins: Work shoulder-to-shoulder with ML researchers, data scientists, and software engineers to take SOTA models from research to low-latency, cost-effective production systems.
- Balance ML performance trade-offs: Make data-backed decisions balancing model complexity, accuracy, inference latency, compute costs, and real-time execution constraints.
- Build evaluation frameworks: Establish robust offline and online measurement systems to evaluate retrieval precision and query understanding accuracy against customer revenue outcomes.
- Orchestrate pipeline handoffs: Ensure candidate product sets and query context flow cleanly into downstream ranking and search quality models without signal loss.
- Solve systemic issues: Lead technical triage when query interpretation or retrieval anomalies occur, building durable, automated fixes rather than one-off patches.
WHAT SUCCESS LOOKS LIKE
Within your first year, you will have:
- Evolved our hybrid recall framework to measurably improve candidate generation precision for long-tail queries and complex catalog structures.
- Driven quantifiable lift in search-attributed conversion and revenue per visit across major customer verticals.
- Stood up an integrated evaluation framework connecting query parsing and candidate recall directly to business outcomes.
- Optimized inference latency and compute infrastructure to ensure high-capacity ML models run fast and cost-effectively in production.
BENEFITS
- Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year.
- A competitive compensation package including stock options.
- Company-sponsored US health coverage (100% paid for employee).
- Fully remote team - choose where you live.
- Work-from-home stipend! We want you to have the resources you need to set up your home office.
- Apple laptops provided for new employees.
- Training and development budget for every employee, refreshed each year.
- Parental leave for qualified employees.
- Work with smart people who will help you grow and make a meaningful impact.
THIS POSITION IS FULLY REMOTE — CONSTRUCTOR.IO http://Constructor.io IS A REMOTE-FIRST COMPANY.
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview:
As a Data Scientist, you will help measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science.
Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision-making across PlayStation.
This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights.
This is an opportunity to work on high-impact initiatives affecting millions of PlayStation players while developing your expertise in experimentation, causal inference and applied data science.
What You'll Be Doing:
Apply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives.
Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical.
Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights.
Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions.
Contribute to the development and adoption of best practices for experiment design, statistical analysis and causal measurement.
Partner closely with product managers, engineers, analysts and business stakeholders to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence.
Collaborate with engineering teams by providing feedback on experimentation and measurement capabilities to improve tooling and workflows.
Develop reusable analytical solutions, dashboards and code that improve the quality, consistency and efficiency of measurement.
Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders.
Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows.
Contribute to a culture of evidence-based decision-making by sharing knowledge, collaborating across teams and promoting analytical best practices.
What We're Looking For:
Required:
Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred.
3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems.
Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches.
Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights.
Strong proficiency in Python and SQL for analytical workflows.
Experience developing robust analytical solutions using sound statistical principles and software engineering best practices.
Strong stakeholder management and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
Curiosity, creativity and a pragmatic approach to solving ambiguous business problems.
A collaborative mindset with a passion for continuous learning and improving analytical capabilities.
Preferred:
Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses.
Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow.
Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI.
Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity.
Experience developing reusable analytical frameworks, libraries or internal tooling.
Experience presenting analytical findings and recommendations to cross-functional stakeholders.
What You'll Influence:
Measurement for PlayStation's product and commercial initiatives.
High-quality experimentation and causal inference across product and business teams.
Product and commercial decisions through rigorous analytical evidence.
The continued evolution of PlayStation's measurement and experimentation capabilities.
Why You'll Love This Role:
Help shape how PlayStation measures product and commercial success across a global business.
Work on challenging real-world problems using experimentation, causal inference and machine learning.
Collaborate with talented scientists, engineers and product teams on high-impact initiatives.
Learn from experienced data scientists while developing your expertise in modern measurement and experimentation.
Contribute to the adoption of evidence-based decision-making across PlayStation.
Continue growing your technical and business skills in a collaborative, supportive environment.
Benefits:
Discretionary bonus opportunity
Hybrid Working (FlexModes)
Private Medical Insurance
Dental Scheme
25 days annual leave
On-site gym
Subsidised café
Complimentary soft drinks
On-site bar
Secure cycle storage and shower facilities
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Workplace: fully
We're looking for a
Machine Learning Engineer
to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production.
This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.
What you'll do
Develop, train, and evaluate machine learning models.
Prepare and analyze datasets for model training.
Improve model performance through experimentation and testing.
Deploy and maintain ML models in production environments.
Collaborate with software engineers to integrate ML solutions into products.
Monitor model performance and continuously improve accuracy.
Stay up to date with new machine learning techniques and technologies.
What we're looking for
Basic understanding of machine learning concepts and algorithms.
Experience with Python.
Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.
Comfortable working with data and writing clean, maintainable code.
Familiarity with Git.
Good problem-solving skills.
Strong written and verbal English communication.
Nice to have
Experience with large language models (LLMs).
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with SQL.
Experience deploying ML models.
Personal projects or open-source contributions related to AI or machine learning.
Requirements
1+ year of experience in machine learning, software engineering, data science, or a related technical role
or
strong personal projects demonstrating ML skills.
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.
Passion for learning and building AI solutions.
What we offer
Fully remote work.
Flexible working environment.
Opportunity to work on real AI products.
Challenging technical problems with room to grow.
Collaborative and fast-moving team.
Competitive compensation based on experience.
Location: Athens; Limassol; Nicosia; Thessaloniki
Workplace: hybrid
The Role:
We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.
You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions.
The main responsibilities of the position include:
Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions
Transform large, complex datasets into graph representations and extract actionable insights using advanced analytics, graph algorithms, and statistical techniques.
Drive the adoption of Graph AI across the organisation by
identifying
new use cases and contributing to the evolution of the company's data science strategy.
Communicate complex technical concepts and model outcomes clearly to both technical and business audiences.
Ensure
high standards
in data preparation, feature engineering, model evaluation, documentation, and code quality
.
Leverage
technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platforms
to build innovative data solutions
Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics
Lead and supervise a team of data scientists working on graph-related tasks
Partner closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable Graph AI solutions.
Main requirements:
University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
At least 6 years of experience in data science, machine
learning
and AI
, including hands-on experience in designing,
training
and optimising Graph Neural Networks (GNNs) for production applications.
Experience working with relational and non-relational databases
Solid experience working with graph databases (e.g., Neo4j, Neptune) and
proficiency
in graph query languages (e.g., Cypher or Gremlin).
Experience with data visualization tools such as Matplotlib, Seaborn, or
Plotly
Strong programming skills in Python and
experience with Pandas, NumPy
, and similar data analysis
libraries
Strong analytical thinking, problem-solving ability, and attention to detail
.
Excellent communication skills and the ability to work collaboratively in a team environment
Fluent in English
Benefit from:
Attractive
remuneration
package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s
Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
seniorThe Netherlands; Poland; Portugal; France; United Kingdom; Spain; Germany; Italy
УдалённоseniorUnited States
ГибридParis; Palo Alto; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридParis; Amsterdam; London; Lausanne; PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Pasig City, Philippines; Ability to work effectively as a collaborative team member and support operations across multiple time zones; for daily collaboration with the ERP vendor and the China IT team, along with availability across time zones during the financial close period; and European time zones
