RELOCATION TO BERLIN Location: This role requires being on-site at the Berlin office for at least 80% of weekly working hours. Up to 20% mobile work is allowed from anywhere within Germany, with an option to work from abroad for this portion. Visa sponsorship is provided for joining from outside of Germany, and candidates planning to relocate to Berlin are welcome.
Company: Bonial is a digital advertising partner for offline businesses, part of Axel Springer SE, and the leading "Drive to Store" partner in Germany and France, connecting millions of users with their favorite shops and brands.
What you will do:
— Lead and mentor a diverse hybrid team of software engineers.
— Define and drive the technical vision and strategy for the Reach Ads product, ensuring alignment with business goals.
— Oversee the entire software development lifecycle for Reach Ads, from planning to deployment.
— Collaborate with Product and Development teams to build scalable solutions using Java, Python, and AWS.
— Ensure system availability, stability, quality of service, and security standards are met.
— Foster a culture of continuous learning, professional development, and transparent communication within the team.
Requirements:
— Extensive experience in software engineering and a strong background in team leadership.
— Proficiency in Java and a good understanding of software architecture.
— Experience or willingness to work with a distributed team.
— Excellent communication and interpersonal skills.
— Agile mindset and experience with modern development practices.
— Strong problem-solving skills and a passion for staying ahead of industry trends and technologies.
— Must be able to work on-site at the Berlin office for at least 80% of weekly working hours.
— Ability to obtain legal work authorization in Germany.
Nice to have:
— Hands-on experience with third-party advertising platform integrations (Google Ads, Meta, DV360) and Adtech.
Culture & Benefits:
— High-growth and dynamic company leveraging AI for productivity and efficiency.
— Strong support for professional development with a feedback culture.
— Commitment to diversity and an equal opportunity workplace.
— Wellbeing benefits including free access to nilo.health mental health app and partial Urban Sports Club subscription.
— Flexible work policy allowing up to 20% mobile work within Germany and option to work from abroad for this portion, plus 28+ days of holiday.
— Modern office in Berlin with a gym, Zen Rooms, roof terrace, and free lunch/snacks.
— Social culture with regular team events.
ГибридleadSOFTWARE ENGINEERING TEAMLEAD (ADTECH) | RELOCATION TO BERLIN | BONIAL GERMANY | #relcoation to #berlin #fulltime #itjob #backend #adtech #aws #python https://teletype.in/@courierus/VjiJ1S8rnje; RELOCATION TO BERLIN Location: This role requires being on-site at the Berlin office for at least 80% of weekly working hours
Location: Kyrgyzstan
Workplace: remote
The Role:
As a translator, you will play a pivotal role in adopting, translating and localizing online content for multiple company brand websites, ensuring accuracy, cultural relevance, and consistency with brand guidelines.
Do you have what it takes? Join an engaging international work environment where teamwork rules.
The main responsibilities of the position include:
Translate, localize and proofread all English to Kyrgyz content for our websites, landing pages, and country-specific promotions ensuring accuracy, consistency, and a strong brand voice across all platforms
Adapt marketing and advertising materials across social media, paid advertising, and various online and offline visual assets
Manage the localization of the mobile app interface and ensure a seamless experience for client registration and onboarding workflows
Produce high-quality translations for specialized content, including technical Forex articles and direct client communications
Coordinate closely with the Content Marketing Localization team to maintain brand consistency across all Kyrgyz-language platforms
Apply a deep cultural understanding of adapting translated content to the local Kyrgyz market to ensure it is aligned in terms of accuracy, tone, style, technical/financial terminology, and user intent
Maintain rigorous quality control and time management to deliver high-quality results, including solid SEO (search engine optimization) best practices
Conduct market research, competitor analysis and review customer behavior insights to improve content relevance, engagement and overall performance across all channels
Contribute insights and recommendations to optimize content effectiveness, audience engagement and overall communication strategy in the local market
Main requirements:
University degree in Translation, Linguistics, Language studies or a Translation certificate
At least 3 years of experience as a translator, localization specialist, or content writer
Experience in the financial services industry is a plus
Native Kyrgyz speaker with excellent oral and written skills in English
Solid knowledge of handling HTML content
Experience with localization software, including TMS (Translation Management System) and multilingual content workflows.
Knowledge of SEO and content optimization is a plus
Strong writing, editing and proofreading skills including the ability to adapt tone and style for different audiences
Ability to work independently and collaborate with international teams
Strong attention to detail and commitment to quality
Benefit from:
Attractive remuneration package plus performance related reward
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.
Location: Istanbul, Türkiye
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
The BD Manager is responsible for the overall affiliate growth strategy and execution for OKX in Türkiye, working with our global team. The BD Manager will proactively seek out and engage closely with potential Turkish crypto partners for the purpose of user acquisition and expansion of the OKX platform in the region.
What You’ll Be Doing
Proactively identify and develop affiliates with communities and relationships that consist of HNW clients and professional traders across Türkiye
Manage and enhance relationships with HNW clients in Türkiye, maintain frequent contact, and build partnerships with local influencers and KOLs for the purpose of user acquisition
Planning and execution of online and some offline marketing activities, events, and campaigns with influencers/KOLs or media channels relevant to the Turkish market
Expand the user base and grow awareness of the OKX brand in Türkiye
Devise creative ways to identify potential affiliates/KOLs and acquire users in the local market
What We Look For In You
Solid experience in Cryptocurrency, Finance, FX or any related space, with a track record in building large affiliate networks from start to finish
Experience in business development or affiliate management
Solid connections in Türkiye with HNW clients and professional traders
Solid project management skills and the ability to manage multiple priorities and deadlines
Understanding of fundamental affiliate customer acquisition KPIs and optimisation methods to improve performance through data analysis and segmentation
Fluent in
English and Turkish is a MUST
Nice to Haves
Bonus points if you have previously worked at a crypto exchange!
Experience working across time zones and cross-cultural teams
Passionate about blockchain technology and the crypto payments space
Familiarity with Turkish financial regulations and the local crypto landscape
Perks &
Benefits
Competitive total compensation package
L&D programs for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-GB1
#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: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
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 team:
OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.
Responsibilities:
Build and maintain the data warehouse for the risk control business domain, and develop the thematic metrics/indicator system to support data needs across all risk control business lines.
Design and implement the technical architecture for offline and real-time data application services, and optimize the performance of data pipelines.
Develop reporting data and interface (API) data for the data mart.
Requirements:
Bachelor’s degree or higher from an accredited university in
Computer Science
or a related field, with
4+ years of industry experience
.
Experience with
Real-time Data Engineering,
having used technologies like
Flink
Solid understanding of data warehouse modeling theory, with hands-on experience in data warehouse model design, in-depth knowledge of data warehouse architecture, and a track record of supporting real-world business scenarios.
Familiarity with a range of big data architectures, especially Alibaba Cloud DataWorks/MaxCompute and AWS, as well as Spark, Databricks, and StarRocks/Doris (a plus).
Strong communicator with business acumen and the ability to perform under pressure; able to quickly grasp business context and effectively bridge technical and business needs.
Experience building data middle-platform capabilities such as user profiling, risk control systems, and metrics systems is preferred.
Perks & Benefits:
Competitive total compensation package
L&D 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 dependants
More that we love to tell you along the process!
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: Bangkok, Thailand
Position Title: Marketing Manager
Reporting Line: Reports directly to the Sales Director
Location: Fully Onsite
General Purpose:
Responsible for developing and executing integrated marketing strategies that drive brand awareness, customer acquisition, engagement, and business growth across multiple channels for a global financial services, trading, or fintech organization.
Specific Objectives (~12 months):
Develop and execute marketing strategies aligned with company growth objectives and brand positioning.
Increase brand awareness and market visibility across target markets and customer segments.
Improve lead generation, customer acquisition, and campaign conversion rates through data-driven marketing initiatives.
Manage and optimize multi-channel marketing campaigns to maximize return on investment (ROI).
Strengthen the company’s social media presence and community engagement across assigned platforms.
Produce high-quality marketing content to support customer acquisition, retention, and brand-building efforts.
Conduct ongoing market research to identify industry trends, competitive opportunities, and evolving customer needs.
Ensure all marketing communications remain consistent with brand guidelines and messaging standards.
Improve campaign performance through continuous analysis, testing, and optimization.
Coordinate the delivery of marketing assets, events, promotional materials, and digital content within agreed timelines.
Support business growth initiatives through effective integrated marketing communication campaigns across online and offline channels.
Provide regular reporting to senior management on campaign performance, marketing KPIs, and strategic initiatives.
Key Activities:
Plan marketing goals and develop comprehensive marketing strategies aligned with business objectives.
Manage and execute marketing campaigns across digital, social, email, content, and offline channels.
Monitor, analyze, and report campaign performance, providing actionable recommendations for optimization.
Conduct market research and competitor analysis to identify trends, opportunities, and customer preferences.
Oversee the creation of engaging marketing content, including social media posts, videos, events, merchandise, presentations, and promotional materials.
Manage assigned social media platforms and optimize advertising campaigns for maximum performance.
Develop content for websites, newsletters, presentations, blogs, social media channels, and other marketing materials.
Coordinate with Graphic Designers and Video Editors to produce campaign assets and brand materials.
Manage integrated marketing communication campaigns across multiple channels and markets.
Support event planning, sponsorship activities, and brand activation initiatives.
Maintain marketing calendars, project timelines, and campaign schedules.
Collaborate with cross-functional teams to ensure marketing initiatives support broader business objectives.
Requirements
Strong understanding of digital marketing, content marketing, social media management, and integrated marketing communications.
Experience managing multi-channel marketing campaigns and performance-driven advertising initiatives.
Strong analytical skills with the ability to interpret campaign data and optimize marketing performance.
Excellent project management and organizational skills with the ability to manage multiple priorities simultaneously.
Strong written and verbal communication skills in English.
Experience working with creative teams, including Graphic Designers and Video Editors.
Ability to work independently while maintaining accountability for marketing outcomes and deadlines.
Knowledge of financial markets, including Stocks, Forex, CFDs, and Cryptocurrency, is highly advantageous.
Familiarity with marketing analytics, campaign tracking, and reporting tools.
Likely Current Job:
Senior Marketing Executive, Marketing Manager, Digital Marketing Manager, Brand Manager, Growth Marketing Manager, Marketing Communications Manager, Content Marketing Manager, or similar roles within a fintech company, CFD brokerage, cryptocurrency exchange, financial services organization, or online trading platform.
Benefits
Employer Value Proposition:
Join a fast-growing global financial services, CFD brokerage, or cryptocurrency organization in a high-impact marketing role with ownership over brand growth, customer acquisition, campaign execution, and content strategy across multiple markets. Benefit from a flexible remote or hybrid working model, exposure to dynamic financial markets, and the opportunity to directly influence business growth, brand visibility, and customer engagement while collaborating with globally distributed teams.
Compensation:
Competitive base salary plus performance-based incentives, determined based on candidate experience and qualifications.
Assessment Process:
Candidate evaluation includes interviews with the Head of Marketing and senior management, a structured assessment of marketing expertise, and a case discussion focused on campaign strategy, content development, digital marketing performance, brand positioning, and market growth initiatives.
Location: Bangkok, Thailand
Position Title: Graphic Designer
Reporting Line: Reports directly to the Marketing Manager
Location: Fully Onsite
General Purpose:
Responsible for designing visually compelling marketing and brand assets that support customer acquisition, engagement, and brand awareness across digital and offline channels. The role plays a key part in translating financial and trading concepts into clear, engaging, and high-performing visual content for a global Forex, CFD, or financial services organization.
Specific Objectives (~12 months):
Develop high-quality visual assets that strengthen brand identity and enhance customer engagement across multiple channels.
Support customer acquisition and retention initiatives through effective design and visual communication.
Produce creative assets that improve campaign performance, brand visibility, and audience engagement.
Ensure consistency of branding, messaging, and visual standards across all marketing materials.
Create engaging visual content optimized for social media platforms, websites, advertising campaigns, and promotional activities.
Translate complex Forex, trading, and financial concepts into visually appealing and easily understandable graphics.
Support integrated marketing campaigns through the timely delivery of creative assets.
Improve design efficiency and scalability by maintaining organized design systems, templates, and asset libraries.
Stay ahead of design trends, digital marketing innovations, and industry developments within the Forex and financial services sectors.
Deliver high-quality creative work while managing multiple projects and meeting tight deadlines.
Key Activities:
Design marketing materials for digital and offline channels, including banners, landing pages, advertisements, and promotional assets.
Create visual content for Forex products, campaigns, and brand communications.
Develop graphics for social media platforms such as Facebook, TikTok, YouTube, Instagram, and Line.
Collaborate with marketing and content teams to support integrated marketing campaigns.
Adapt and optimize designs for different platforms, formats, and audiences.
Translate trading concepts and financial data into engaging visual content.
Ensure brand consistency across all creative materials.
Manage multiple projects while meeting deadlines in a fast-paced environment.
Stay updated on design trends, digital marketing developments, and industry best practices.
Requirements
Proficiency in Adobe Photoshop, Illustrator, and other graphic design tools.
Strong understanding of branding, typography, layout, and visual communication.
Experience creating content for digital marketing and social media platforms.
Ability to transform complex concepts into clear and engaging visuals.
Strong attention to detail and commitment to brand consistency.
Excellent time management and project coordination skills.
Ability to work collaboratively and manage multiple priorities.
Creative mindset with strong problem-solving abilities.
Knowledge of Forex, Stocks, Cryptocurrency, or financial markets is an advantage.
Benefits
Likely Current Job:
Graphic Designer, Digital Designer, Creative Designer, Marketing Designer, Visual Designer, Brand Designer, Multimedia Designer, Creative Content Designer, or similar roles within a fintech company, CFD brokerage, Forex broker, cryptocurrency exchange, financial services organization, digital agency, or marketing team.
Employer Value Proposition:
Join a fast-growing global Forex brokerage, CFD trading platform, or financial services organization in a highly visible creative role with direct influence on brand growth, customer engagement, and marketing performance. Benefit from a flexible remote or hybrid working model, exposure to dynamic financial markets, and the opportunity to create impactful visual experiences for audiences across multiple international markets.
Compensation:
Competitive base salary plus performance-based incentives, determined based on candidate experience, technical capabilities, and portfolio quality.
Assessment Process:
Candidate evaluation includes interviews with the Marketing Manager and key marketing stakeholders, portfolio review, a practical design assessment, and a discussion focused on creative execution, branding, visual communication, campaign support, and design problem-solving capabilities.
Location: Remote - The Netherlands
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location:
Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.
The
Ads Foundational Representations (AFR)
team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with.
Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:
Multimodal & Content Embeddings
- Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space.
Contextual and Behavioral Relevance
- Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.
Knowledge Graph Embeddings -
Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights.
User Intent Modeling -
Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc.
LLM-based Representations
- Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes
The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.
As a
Staff ML Engineer
, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution.
Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation).
Responsibilities
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
Building data processing and inference pipelines for the models we develop.
Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Required Qualifications:
7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority.
Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing.
Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them.
Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers.
Familiarity with the Ads domain and/or Search/Recommender systems.
Experience with mainstream DL frameworks: PyTorch or TensorFlow.
Preferred Qualifications:
Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
Tech leadership experience: mentoring junior engineers and leading complex projects.
Hands-on experience with using/fine-tuning/building LLMs.
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Private Pension plan with Employer-matching
100% employer-sponsored group medical plan
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - United Kingdom
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location:
Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.
The
Ads Foundational Representations (AFR)
team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with.
Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:
Multimodal & Content Embeddings
- Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space.
Contextual and Behavioral Relevance
- Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.
Knowledge Graph Embeddings -
Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights.
User Intent Modeling -
Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc.
LLM-based Representations
- Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes
The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.
As a
Staff ML Engineer
, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution.
Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation).
Responsibilities
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
Building data processing and inference pipelines for the models we develop.
Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Required Qualifications:
7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority.
Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing.
Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them.
Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers.
Familiarity with the Ads domain and/or Search/Recommender systems.
Experience with mainstream DL frameworks: PyTorch or TensorFlow.
Preferred Qualifications:
Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
Tech leadership experience: mentoring junior engineers and leading complex projects.
Hands-on experience with using/fine-tuning/building LLMs.
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Group Personal Pension Scheme with Employer match
Private Medical and Dental Scheme
Income Replacement Programs
Bike to Work scheme
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Hybrid / Berlin
Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.
Role
You'll own the layer everything else runs on: bare-metal servers, operating systems, data-center networking, and storage across on-prem and fully air-gapped sites — the physical and infrastructure foundation our platform and GPU fleets are built on. You design, build, and operate server fleets with a strong automation and DevOps mindset, then partner with our SRE, MLOps, and ML teams to ensure everything running above the metal — including GPU inference — performs reliably at scale. Some of this work is hands-on at customer sites, where you size, rack, and commission self-contained server environments with no internet uplink.
We weight depth in modern data-center infrastructure, networking, and automation more heavily than GPU-specific experience. A strong infrastructure and network engineer with a genuine automation mindset — even without prior GPU exposure — is a better fit for this role than a candidate with GPU expertise whose networking background is rooted in legacy, corporate-style L2 designs.
What you'll do
Design, size, provision, and operate bare-metal server fleets across on-prem and air-gapped environments (firmware/BIOS/UEFI, BMC via Redfish/IPMI, OS, RAID, kernel and storage tuning) using zero-touch provisioning (PXE/iPXE, MAAS/Metal3/Tinkerbell/Ironic) and automation (Ansible, Terraform, or equivalent — the tooling matters less than the automation mindset).
Build and run modern data-center networking: L2/L3 design, IP Fabric, BGP and switching, and RDMA fabrics (RoCE/InfiniBand) sized to scale without ripping out the core.
Engineer resilient, highly available storage (Ceph/Rook, NVMe) with capacity planning and encryption at rest.
Operate confidently in air-gapped and on-prem environments: offline mirrors and registries, signed artifacts, firmware/driver lifecycle without internet access, and system hardening.
Support MLOps and inference-serving fundamentals — GPU model serving (Triton/KServe/vLLM), GPU scheduling and sharing, and throughput/latency optimization — in partnership with our SRE and ML teams.
Plan and run on-site build-outs: rack integration, power budgets, thermal/cooling and UPS sizing, commissioning, capacity planning, runbooks, and operator handover, with SWaP awareness for field sites.
About You
5+ years in bare-metal, data-center, or systems infrastructure engineering, with hands-on ownership of physical and compute infrastructure at scale.
Strong bare-metal Linux (Ubuntu, RKE2, Talos, or similar): provisioning, firmware/BMC management, PXE/iPXE, kernel and storage tuning, systemd, RAID.
Real experience with infrastructure automation (Ansible, Terraform, or equivalent), Git and CI/CD, and scripting in Python, Bash, or Go.
Solid, current data-center networking fundamentals: L2/L3, IP Fabric, BGP, and switching — this is a hard requirement, not a nice-to-have. RDMA (RoCE/InfiniBand) experience is a strong plus.
Comfortable operating in air-gapped or on-prem environments and traveling to customer sites for builds and deployments.
Practical hardware sizing literacy: power budgets, thermal/cooling, UPS sizing, and rack integration.
Documentation-focused, methodical, and calm during hardware incidents. Eligible to work in Germany.
Nice‑to‑haves
German language (B1+); exposure to regulated or security-critical environments (e.g. BSI C5, ISO 27001, or defense-sector delivery) is a plus.
NVIDIA GPU stack knowledge (drivers, CUDA, GPU Operator, MIG, DCGM) and cross-node GPU interconnect experience (NVLink, InfiniBand, NCCL).
Kubernetes bare-metal fundamentals — how cluster bring-up and GPU device plugins interact with the underlying hardware, not day-to-day cluster operation.
Inference optimization (vLLM, TensorRT-LLM, quantization) and familiarity with switch NOS (SONiC/Cumulus).
Relevant certifications (NVIDIA, Red Hat, CKA/CKS) or field/forward-deployed engineering experience.
What we offer
Remote-first, Germany-wide:
Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations.
Flexibility by default:
Flexible working hours help you make work fit your life.
Your setup, your way:
Get a personal home-office equipment budget to create a workspace that works for you.
30 days of vacation:
Take the time you need to recharge and come back with fresh energy.
Keep growing:
We invest in your personal and professional development.
Get rewarded for impact:
Performance bonuses are tied to agreed objectives and key results.
A warm welcome:
Every new team member gets a welcome goodie bag.
Good people, good times:
From summer and Christmas parties to regular team gatherings, we make time to celebrate together.
A mission that matters:
Work on challenges with tangible impact on public safety and national security.
Location: Remote
Workplace: Remote
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We’re looking for a Senior Marketing Designer to create strong, clear, and effective visual work across brand, digital, campaign, and offline channels. You’ll own marketing design outcomes end to end, set a high creative standard, and be the person the team trusts to turn ideas into polished work.
The role includes a strong focus on B2B marketing: turning complex ideas, products, and messages into visuals that are easy to understand, credible, and engaging.
KEY RESPONSIBILITIES
- Develop creative concepts and visual assets for campaigns, product launches, and brand initiatives
- Design across digital channels, including web, landing pages, social media, paid media, and presentations
- Create, maintain, and evolve brand guidelines and visual systems
- Translate complex product and business concepts into clear, compelling visual communication
- Adapt creative work across channels while maintaining brand consistency
- Support offline initiatives, including events, merchandise, print, outdoor advertising, and other physical formats
- Prepare production-ready assets for digital, print, and external partners
REQUIRED QUALIFICATIONS
- Strong experience in marketing, brand, campaign, or B2B design
- A portfolio demonstrating high-quality brand and digital work
- Excellent understanding of layout, typography, color, composition, and visual hierarchy
- Experience designing for web, social media, paid media, presentations, and offline formats
- Experience creating or evolving brand systems and design guidelines
- Ability to translate complex ideas into clear, structured, and engaging visual communication
- Ability to independently manage projects from concept to final delivery
PREFERRED QUALIFICATIONS
- Experience using AI tools in the creative workflow
- Motion, illustration, 3D, or basic video skills
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Limassol
Workplace: onsite
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
We are looking for a motivated and detail-oriented Junior Affiliate Manager (Russian-speaking) to join our team on-site in Limassol.
In this role, you will support the development of our affiliate network for our new product,Affstore, helping to identify, onboard, and maintain relationships with affiliates and partners. You will work closely with the team to assist with partner communications, monitor affiliate performance, and contribute to the day-to-day management of affiliate activities.
This is a great opportunity for someone looking to start or further develop a career in affiliate marketing, gain hands-on experience, and grow in a fast-paced international environment.
If you have experience in marketing, sales, customer support, or another client-facing role and enjoy communicating with people, we’d love to hear from you!
Tasks
• Searching, attracting and onboarding new affiliates for Revenue Share and CPA models in MENA region.
• Daily affiliates hunting.
• Daily processing of incoming leads.
• Manage and develop current Affiliate relations.
• Coordinating payouts for/with accounted affiliates.
• Fraud monitoring.
• Handling inquiries from affiliates and offering them assistance.
• Taking new projects for improving affiliate program as a product as an optional initiative.
• Participating in internal/international affiliate events remotely and offline (meet-ups, conferences, business trips).
• Collecting feedback from affiliates and providing it to Team Lead.
Requirements
Fluency in both English and Russian.
Strong communication and sales skills.
Ability to identify, approach, and build strong relationships with local affiliates, affiliate networks, and agencies.
Nice to have
Forex or other financial vertical experience.
Previous experience in a client-facing role (e.g., marketing, sales, customer support), or a degree in Marketing, Business Administration, International Business.
A pool of trusted affiliates or networks.
We offer
On-site work model in our brand-new office in Limassol;
Health insurance and mental health services;
13th salary and 21 vacation days per year;
Catered lunches in the office;
Tuition reimbursement (kindergartens/schools);
Training and Development opportunities;
Onsite Gym;
Corporate events and workshops;
Bonuses for special events (e.g., child's birth).
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-DK1
Location: Bellevue
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
As a Principal Applied Scientist, you will lead the architecture, research, and productization of these next-generation ML systems, bridging deep research with deployment at scale and shaping the future of enterprise automation.
What You Will Do
• Define and drive technical strategy for agent-based automation, including how autonomous agents use LLMs, reinforcement learning, simulation environments, tool use, and multi-step reasoning to integrate with the UiPath platform.
• Architect, prototype, and deploy advanced ML and AI systems, covering LLM fine-tuning, multimodal pipelines, computer-use modeling, agent orchestration frameworks, and decision-making systems.
• Lead the design and implementation of ML infrastructure and services for model training, fine-tuning, large-scale inference, model serving, monitoring, drift detection, continuous learning loops, and ML operations for agentic systems.
• Partner closely with product, engineering, design, and go-to-market teams to translate research advances into customer-facing capabilities.
• Research state-of-the-art techniques in prompting, retrieval-augmented generation, chain-of-thought, tool use, long-term memory, and RL or imitation learning for agent behavior, and apply them to automation workflows.
• Establish best practices, frameworks, and metrics for evaluating agentic systems, including offline evaluation, simulation environments, human-in-the-loop feedback, A/B testing, and cost, latency, and quality analysis.
• Serve as a technical leader and mentor across ML engineering, data science, and software engineering, fostering a culture of experimentation, reproducibility, versioning, and rigorous evaluation.
• Represent UiPath in the broader community through publications, open-source contributions, conference participation, and collaboration with academia or ecosystem partners.
What We Are Looking For
• Advanced degree (MS or PhD preferred) in Computer Science, Machine Learning, AI, or a related field, or equivalent experience.
• 10+ years of industry experience in machine learning, including substantial experience building and operating ML systems in production.
• Deep expertise in modern ML frameworks and libraries, strong proficiency in Python, and experience integrating ML models into large-scale software systems.
• Proven experience with large language models or foundation models, including fine-tuning, data preparation, inference optimization, or model evaluation.
• Experience with large datasets, distributed training or inference, scalable architecture design, and optimization for latency, throughput, and cost.
• Excellent communication skills with the ability to translate complex ML concepts to product and business audiences.
• Demonstrated technical leadership in mentoring, influencing strategy, balancing research with delivery, and driving high-impact outcomes.
#LI-MH1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a small team, we're all generalists that work across the full stack (built in TypeScript end-to-end). We’re looking for engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
- Work closely with founders, product, and design to implement new concepts and ideas
- Build AI-powered functionality into the core of Linear
- Update our collaborative content editor used across all internal surfaces
- Build new user-facing features with beautiful and scalable UI components
- Obsessively improve application performance
- Refine our software development processes to keep the team operating at high velocity
What we're looking for
- 2-5 years of experience building customer-facing products at a software company with a high engineering bar
- Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL)
- Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product
- Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right
- Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution
- High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped
- Thrives in a remote, async-first environment with a lean, high-output team
- Experience at a startup or a company with a genuinely high engineering bar
Our tech
This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
- Agentic workflow system utilizing temporal, operating at production scale
- Proprietary websocket data sync engine https://www.youtube.com/watch?v=bnOpm3a1fRE built for speed and offline support
- React, MobX, StyleX on the frontend
- Extensive, highly-trafficked GraphQL API and SDK
- Node, PostgreSQL, Temporal, and Redis on the backend
- Hosted on Google Cloud with k8s
- GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $174,000—$245,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- Read Me https://linear.app/readme a story about our mission
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post
- How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team
- Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: San Francisco; Palo Alto
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.
To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
- Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.
- Design the decision layer that balances competing objectives to produce the best overall experience for the user.
- Build the data and evaluation foundations that let these systems learn and improve with usage.
- Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.
WHAT WE'RE LOOKING FOR
- Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
- Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.
- Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
- Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.
- For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.
NICE TO HAVE
- Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
- Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; Palo Alto
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.
To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
- Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.
- Design the decision layer that balances competing objectives to produce the best overall experience for the user.
- Build the data and evaluation foundations that let these systems learn and improve with usage.
- Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.
WHAT WE'RE LOOKING FOR
- Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
- Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.
- Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
- Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.
- For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.
NICE TO HAVE
- Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
- Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Team Description
Reddit's Ads business is at an inflection point, and generative AI is reshaping how advertisers plan, build, launch, measure, and optimize campaigns. The Agentic Ads Experience team is building the next generation of advertiser-facing interfaces: campaign assistants, creative and ad copy generation, one-click campaign creation, audience discovery, conversational analytics, and optimization recommendations. This is a unique opportunity to join a fast-moving team shipping generative AI/agentic systems into a high-growth Ads product, where every launch has direct advertiser and revenue impact.
Role Description
As a Senior Software Engineer on the Agentic Ads Experience team, you will design, build, and ship AI-powered product experiences that change how advertisers work with Reddit Ads Platform. You will own features end-to-end: framing the problem, choosing the right combination of software, LLM calls, tools, orchestration, and guardrails, and driving them through rollout, measurement, and refinement. The ideal candidate is a strong product-focused software engineer with hands-on generative AI application experience, who has an opinionated point of view on where agents, workflows, skills, and retrieval belong, and who cares deeply about shipping reliable systems that advertisers actually trust.
Responsibilities:
Product Execution: Design and ship advertiser-facing AI features and platform (campaign assistants, creative generation, audience discovery, performance analytics, optimization recommendations) end-to-end, from prototype to GA.
Agentic Systems Design: Make the right architectural calls on if and how to use generative AI, whether it’s a single-shot LLM call, a workflow, a skill, a retrieval system, an agent loop, human review, or no AI at all.
Reliability and Guardrails: Build for the failure modes of LLMs — structured outputs, tool/action boundaries, retries, cost controls, tracing, evals, and human-in-the-loop where it matters.
Measurement: Define offline and online evals, instrument traces, run A/B tests, and connect model and product metrics to advertiser and business outcomes.
Safety and Trust: Design for data isolation, permissioning, auditability, and policy compliance when AI systems take action on behalf of advertisers.
Collaboration: Partner closely with PM, Design, Data Science, ML Platform, Trust, and sales/ops to turn ambiguous problems into concrete, shippable systems. Collaborate with other product teams on how best to expose their services and capabilities to the platform’s centralized agent(s).
Craft and Communication: Write clear design docs, explain trade-offs to non-engineers, and raise the bar on how the org ships gen AI features.
Required Qualifications:
5+ years of experience as a software engineer, with a track record of shipping and operating production systems.
Hands-on experience building generative AI applications: structured outputs, function/tool calling, prompt and context design, RAG, model routing, and handling model failure modes.
Genuine enthusiasm for agents and LLMs — you follow the space closely, have opinions on the tools, and can talk shop about the evolving ecosystem.
Strong systems fundamentals: APIs, distributed systems, queues, data stores, service ownership, auth, idempotency, retries, and observability.
Experience defining evals and measurement for AI systems — offline datasets, online metrics, and knowing when and how to measure a launch quality bar.
Fluent with AI coding tools and code-assistant workflows as part of your day-to-day engineering practice.
Excellent communication skills. You can collaborate effectively in a remote environment and explain complex AI system trade-offs to technical and non-technical audiences.
Extensive software development experience in one or more general purpose languages: Python, Golang, Rust, Java, JavaScript, etc.
Bonus Points:
Experience in Ads, marketing technology, marketplaces, growth, recommendations, search, or analytics.
Experience building AI systems where mistakes are expensive: customer-facing products, regulated workflows, policy review, payments, or high-scale infrastructure.
Experience building internal workflow automation for sales, ops, support, policy, trust, or engineering productivity.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days Off
Generous paid Parental Leave
Paid Volunteer time off
#li-remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
УдалённоKyrgyzstan
Istanbul, Türkiye; Experience working across time zones and cross-cultural teams
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