Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia
Eram Talent
is seeking a skilled and experienced
Diesel Mechanic
to perform maintenance, troubleshooting, repair, and overhaul of diesel-powered vehicles, heavy equipment, and machinery. Reporting to the Maintenance Supervisor, the role is responsible for ensuring the reliability, safety, and operational efficiency of diesel engines and associated mechanical systems. The successful candidate will carry out preventive and corrective maintenance while adhering to company procedures, safety regulations, and client requirements. Candidates with prior
Saudi Aramco
project experience are required. The ideal candidate is locally available in Saudi Arabia and willing to work within the offered salary range.
Key Responsibilities
Diagnose, troubleshoot, and repair diesel engines, heavy equipment, and mechanical systems.
Perform preventive and corrective maintenance on diesel-powered vehicles and machinery.
Inspect, repair, and replace engine components, fuel systems, cooling systems, and transmission components.
Carry out engine overhauls and mechanical repairs in accordance with manufacturer specifications.
Read and interpret technical manuals, service manuals, and mechanical drawings.
Conduct routine inspections to identify faults and ensure equipment reliability.
Test repaired equipment to verify proper operation and performance.
Maintain accurate maintenance records and service reports.
Ensure compliance with Saudi Aramco safety standards, company procedures, and HSE regulations.
Coordinate with supervisors and maintenance teams to minimize equipment downtime.
Maintain tools, equipment, and work areas in a safe and organized condition.
Support emergency breakdown maintenance when required.
Requirements
Qualifications & Requirements
Diploma or ITI/Technical certification in Mechanical Engineering, Diesel Mechanics, Automotive Technology, or a related discipline.
Proven experience as a Diesel Mechanic in industrial, construction, or heavy equipment environments.
Saudi Aramco project experience is mandatory.
Strong knowledge of diesel engines, hydraulics, transmissions, fuel systems, and preventive maintenance.
Ability to diagnose and repair heavy equipment and diesel-powered machinery.
Good troubleshooting and problem-solving skills.
Familiarity with HSE procedures and safe maintenance practices.
Locally available in Saudi Arabia.
Nationality:
Open to all nationalities.
Location: New York
Workplace: OnSite
ABOUT ARCA
Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy.
So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has.
That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own.
It's a $20T market, and we think it's ready to be rebuilt.
— Rron, CEO
THE RECEIPTS
- Stage: Series A, $64M raised
- Backed by: General Catalyst, Index Ventures, Venrock
- Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money)
THE TEAM
We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean.
We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours.
THE ROLE
As a Member of Technical Staff focused on Applied AI, you’ll own our AI stack end to end. One framing we keep coming back to: agents are the primary users of our system of record. Everything we build (the data models, the APIs, the UI) has to work for a non-human user that operates at scale, across every client, all the time. That’s a different design constraint than most teams are used to.
WHAT YOU’LL BUILD (AND OWN)
- A general agent capable of complex, multi-step tasks — planning, sandboxed code execution, web search, retrieval — that powers a "do anything" experience for advisors.
- Ambient agents that act on behalf of clients and advisors: triaging email, processing meetings, drafting communications, surfacing what needs attention before anyone asks.
- The agent harness that orchestrates LLMs, context, tools, retrieval, and business logic into something coherent and reliable.
- Generative UI and human-in-the-loop interfaces where the agent and advisor genuinely collaborate, not just take turns.
- Evaluation infrastructure that holds two bars at once: high-correctness financial data and subjective, judgment-heavy tasks.
EXAMPLE PROBLEMS YOU’D WORK ON
These aren’t hypothetical problems; we’re actively working on versions of all of these.
- Human / AI collaboration that actually works in practice. An advisor is mid-call when the agent surfaces a multi-step recommendation: rebalance, adjust the savings rate, revisit the estate plan. The advisor takes two steps and overrides the third. Now what? How does the agent update its model of what this advisor wants, present reasoning the advisor can relay without sounding scripted, and learn over time what to do autonomously versus flag? This is the flywheel: the tighter the collaboration, the more the agent can take on.
- Memory systems that know a client the way a great advisor does. A good advisor remembers that a client gets anxious when markets drop, cares more about the kids' college fund than their own retirement, and prefers plain-English summaries. Building memory that captures and evolves this understanding across years—and surfaces the right context at the right moment—is genuinely hard. The challenge is knowing what to retrieve, what's still relevant, and how to represent a person's relationship to money in a way an agent can use.
- Generative UI as an agent architecture problem. When an agent views and updates the advisor's screen in real time—rendering scenarios, adjusting visualizations mid-conversation, surfacing recommendations inline—the UI is constantly changing. The challenge is how the agent manages state across those changes and how you keep the experience from feeling unpredictable. When the visualization shows a client's actual retirement savings, the advisor can't be surprised by their own screen.
- Evaluations that work for financial services. Most evals are built for tasks with a single right answer. Financial advice isn’t like that; the same recommendation can be right for one client and wrong for another, and “correct” often depends on context the eval harness doesn’t have. You’ll build evaluation infrastructure that can hold two different bars simultaneously: high-accuracy financial data where errors have real consequences, and judgment-heavy tasks where the right answer is subjective and the stakes are relational. Add to this the compliance requirements of financial services, where auditability isn’t optional and infrastructure has to handle large, constantly changing datasets where a stale answer can be as harmful as a wrong one.
THE KIND OF PERSON WHO THRIVES HERE
You’re excited by ownership, ambiguity, and building things that matter.
- You're comfortable where "correct" isn't always obvious. Financial advice isn't deterministic, and neither is evaluating it. You're energized by probabilistic systems and rigorous about the evaluation infrastructure that tells you whether you're improving—you trust experimentation more than your first instinct.
- You're ambitious in a way specific to this work. You're building agents that touch real retirement savings and estate plans. A hallucination here isn't a product bug; it's a wrong answer that affects someone's financial future. That consequence makes you more careful, not slower.
- You move fast, and you know speed and reliability aren't in tension here. An agent that behaves differently in production than in eval is a liability. You treat evaluation and iteration as part of shipping, not steps that come after.
- You have taste, and a high bar for what that means here. You spot AI slop instantly and won't let it through review. You know "tech debt vs. shipping" is a false tradeoff and act accordingly—leaving systems better instrumented and better understood than you found them.
- You’re someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don’t have clean answers. The people who thrive here love to argue about agent architecture at lunch and then run an eval together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you’re genuinely energized by this environment (not just tolerant of it).
WHY NOW IS THE MOMENT TO JOIN
This is a narrow window with unusually high leverage.
- We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next.
- The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows.
- The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is.
- The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.
Локация: Удаленно (РФ), офис в Москве или Санкт-Петербурге, либо гибридный формат
Компания: Сервис для путешествий и поездок Туту.
Что делать
Управлять командой, включая подбор, адаптацию, обучение и развитие супервайзеров и наставников.
Планировать работу, ставить цели, контролировать эффективность и управлять приоритетами ресурсов.
Анализировать причины претензий пользователей и внедрять улучшения в процессы для повышения качества сервиса.
Выступать в роли конечной инстанции при решении самых сложных и нестандартных проблем клиентов.
Сотрудничать со смежными подразделениями (продуктовыми командами, PR) и участвовать в проектах компании.
Требования
Опыт управления командой схожего масштаба от одного года.
Аналитический склад ума, умение собирать информацию и принимать взвешенные решения.
Развитые лидерские качества, эмпатия и умение мотивировать людей.
Сильные коммуникативные навыки для ведения деловой переписки и устных переговоров.
Готовность к работе в графике 5/2 в соответствии с ТК РФ.
Культура и преимущества
ДМС со стоматологией, страховка для путешествий и психологическая поддержка.
Возможность создавать новые направления с нуля и реализовывать собственные идеи.
Доступ к сильной внутренней базе знаний и опытное руководство.
Дружелюбная атмосфера, поддержка коллег и яркие корпоративные мероприятия.
Полное соблюдение ТК РФ.
УдалённоheadГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Обязанности:
- Запускать и развивать сервисы, которые основаны на ML-моделях и LLM
- Работать над проектами от идеи до продакшена: анализировать потребности, проектировать архитектуру, разрабатывать и внедрять проекты
- Интегрировать модели в удобные для сотрудников интерфейсы
- Вместе с командой влиять на технические решения и стандарты, внедрять лучшие практики
Требования:
- Опыт работы с Python 3
- Опыт работы с FastAPI и базами данных PostgreSQL, контейнерами в Docker и кластерами Kubernetes
- Умение писать тесты на Pytest
- Интерес к миру ML на уровне доменной области
- Самостоятельность и готовность нести ответственность за проект
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
.
This role is fully remote. Reddit has a flexible first workforce.
The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.
We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.
This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization.
What you’ll do:
Lead Reliability Engineering
Drive complex, cross-organizational programs to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences.
Shape the Future of Reliability
Define and drive long-term roadmaps for a domain of ownership within the team, turning ambitious reliability goals into strategic investments that build resilience, unlock scale, and enable product innovation.
Build Strategic Partnerships
Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales.
Eliminate Systemic Risks
Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Drive structural improvements that address root causes, eliminate recurring failures, and prevent entire classes of incidents.
Shape Automation Strategy
Define the team’s approach to automation, identifying new opportunities and reusable patterns that make it easier to automate deployment safety, incident response, remediation workflows, and reliability guardrails
Influence Engineering Standards
Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.
Elevate the Team
Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence.
What We’re Looking For
8+
years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large scale distributed systems.
Expertise leading complex, cross-organizational engineering programs from design through launch.
Experience defining technical roadmaps to prioritize broad strategic reliability investment.
Proven ability building cross-functional partnerships to align business priorities and facilitate effective technical collaboration.
Expertise using and improving observability systems to expose failure modes, accelerate diagnosis, and answer complex questions about system behavior.
Expertise troubleshooting complex issues across system, infrastructure, and networking.
Strong software engineering fundamentals, sound operational judgment, and effective collaboration practices across teams.
Nice to Have
Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
Contributions to open source software or participation in technical communities.
Experience leading large scale incident response and operational transformation initiatives.
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
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:
$217,000
—
$303,900 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.
Задачи:
— Писать код на Python (FastAPI / Django) для бэкенда.
— Закрывать фронтенд-задачи на React / Vue / Next.js (админки, простые интерфейсы, интеграция с Telegram Mini Apps).
— Проектировать архитектуру микросервисов под высокие нагрузки (десятки тысяч пользователей).
— Работать с PostgreSQL, Redis, ClickHouse (оптимизация запросов, кэширование, аналитика).
— Интегрировать AI-сервисы (OpenAI, ComfyUI, генерация видео, RAG, fine-tuning LoRA).
— Руководить 2–4 разработчиками (full-stack, AI-промтологи, бэкенд).
— Проводить код-ревью, менторить, помогать расти.
— Участвовать в найме и онбординге новых разработчиков.
— Отвечать за соблюдение дедлайнов и качества кода.
— Настраивать и поддерживать пайплайны в GitHub Actions.
— Управлять деплоем на сервера (Docker, Docker Swarm / K8s, Nginx / Traefik).
— Обеспечивать uptime 99.9% и быстрое восстановление после инцидентов.
Требования:
— Python (FastAPI / Django) — уверенно, 4+ лет.
— React или Vue / Next.js — базовый уровень (чтобы закрыть админку или поправить интерфейс).
— PostgreSQL (оптимизация, индексы, репликация).
— Redis (кэширование, сессии, очереди).
— Docker, CI/CD (GitHub Actions).
— Опыт с AI (OpenAI API, LangChain, RAG, работа с нейросетями).
— Опыт разработки от 5 лет, из них минимум 1 год — Team Lead / Tech Lead.
— Умеете и сами писать код, и управлять командой.
— Понимаете, как строить масштабируемую архитектуру под highload.
— Знаете, как оптимизировать БД и кэшировать данные (чтобы не ложилось при 10k RPS).
— Работали с AI / LLM (не просто вызывали API, а встраивали в продукт).
Будет плюсом:
— ComfyUI, LoRA, ControlNet, генерация видео.
— ClickHouse (аналитика, большие данные).
— Kubernetes / Docker Swarm.
— Опыт с Telegram Mini Apps.
— Go (высоконагруженные микросервисы).
Личные качества:
— Скорость и прагматизм — не «идеальный код на месяц», а «работающее решение на сегодня».
— Ответственность — за дедлайны, за стабильность, за команду.
— Коммуникабельность — умеете объяснить разработчикам задачу, а заказчику — сроки.
— Стартап-менталитет — готовность делать руками то, что нужно здесь и сейчас.
Условия:
— от 5000$ (фикс + бонусы за KPI).
— Удалённо, полная занятость.
— Возможность влиять на архитектуру и продукт с первых дней.
— Минимум бюрократии, максимум скорости.
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a
Trade Support Specialist
, you’ll provide middle office support to a group of trading desks based in Chicago. This is an opportunity to solve challenging problems while working closely with experienced traders, researchers and software engineers to optimize operational workflow and use the right tools and technology for the job.
Responsibilities:
Provide operational and technical support for the firm’s equity options trading desks
Trade capture for all products related to the desks’ activity: futures/futures options, equities/equity options, index options
Trade and position reconciliation with the firm’s clearing houses and brokers
Daily P&L calculation and substantiation
Working knowledge and experience in derivatives
Gain mastery of the firm’s proprietary trade capture, inventory management, treasury management, and risk management systems necessary to support the desks’ activity
Act as process owner for current functionality and provide critical support and advice regarding needed enhancements to technology, workflows, and processes:
Gain a strong understanding of traders’ risk management tools and provide support for related traders’ needs
Upgrade and support traders’ tools to effectively utilize technologies and tools that are firm standard
Interface with technology to improve tools where they fall short of meeting the desks’ needs
Adopt, integrate, and promote new technology as it becomes available
Requirements:
Strong interest in, and working knowledge of equities and derivatives
Experience with Version Control, Git, Python, Cron, Linux
Proven experience automating or improving workflows using Python
3+ years of experience in the front office, middle office, back office, or risk management roles working with exchange-traded and over-the-counter products and derivatives
Substantial prior interaction with the front office and senior management in an active trading environment
Bachelor’s degree in computer science, finance, economics, math, or another quantitative field or material equivalent exposure
Demonstrated ability to work independently
Demonstrated ability to analyze problems and synthesize and implement solutions
The annual base salary range for this position is $100,000 to $150,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-TL1]
Location: Seoul
Workplace: remote
We are looking for AI Data Specialists to support the improvement of AI-generated content in Korean.
Job Type: Freelance
Location: Work from home
Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want.
Start Date: Immediately
Duration: Long-term project
Rate: 10 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different)
Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?
What You’ll Do
The role involves performing diverse data-related tasks, including:
- Data collection, evaluation, and annotation.
- Pairwise comparisons.
- Counting tasks.
- Object tagging and labeling across different content types (audio, video, images, or collected data)
What we’re looking for:
- Native-level fluency in Korean.
- English Proficiency: Fluent or advanced proficiency in English (levels B2–C2)
- AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.
What We Offer
- Flexible schedule
- Opportunity to earn extra income
- Timely payments
- The job is ideal for students, part-timers, or stay-at-home parents
#LI-PR1505
Vendor Type
When applying, please select the option that best describes your working status.
Are you a Freelancer or Private Individual?
A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.
RWS embraces DEI and promotes equal opportunity. We are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements, and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
Location: San Francisco; Sunnyvale
Workplace: Hybrid
About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the Role:
We are building a core team to develop next-generation native video and omni foundation models for multimodal generation and understanding. Our current focus is large-scale video foundation model development, spanning pre-training, continued training, and post-training for high-quality, controllable, consistent, and efficient generation. Our broader roadmap includes reference- and memory-based generation, multimodal understanding and interaction, and joint audio-video generation.
In this role, you will work on foundational research and large-scale model development across the full model lifecycle, including architecture, data, training, evaluation, post-training, training systems, and efficient inference. You will have the opportunity to shape both the technical direction and the team from an early stage.
What You’ll Do:
- Research, develop, and scale native video and multimodal foundation models, from early prototypes through large-scale pre-training, continued training, and post-training.
- Explore new model architectures, training objectives, and conditioning mechanisms for video generation, reference- and memory-based generation, multimodal interaction, and joint audio-video generation.
- Build and improve large-scale data curation, distributed training, evaluation, and post-training pipelines for high-quality and controllable generation.
- Design systematic experiments to understand model scaling, generation quality, controllability, consistency, robustness, and inference efficiency.
- Collaborate closely with researchers, engineers, and product teams to help shape the technical roadmap and, where appropriate, translate model advances into real-world capabilities.
- Contribute to research publications and open-source releases when appropriate.
What You’ll Bring:
- Strong research and engineering experience in generative modeling, including areas such as diffusion models, flow matching, DiTs, video generation, multimodal models, world models, or related fields.
- Hands-on experience training and evaluating large-scale image, video, or unified multimodal models using modern deep learning frameworks and distributed training systems.
- A strong track record of developing impactful models or systems, demonstrated through research publications, open-source contributions, production impact, or other significant technical work.
- Ability to independently own ambiguous research problems, move effectively from ideas to experiments, and work well in a highly collaborative environment.
- Specialized depth in one or more areas across the foundation model lifecycle, such as model architecture, data curation, controllable generation, multimodal understanding and conditioning, post-training and reward modeling, model acceleration, inference systems, or deployment.
Compensation:
The anticipated annual base salary range for this role is between $200,000-$320,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: Renton, WA
If you like variety and challenge and take satisfaction from knowing your work supports modern construction, consider joining the Michels Construction, Inc. team. Michels Construction, Inc. gets projects off to strong starts by designing and constructing foundations and industrial facilities. The end product might not be a focal point, but it will be essential. Our work improves lives. Find out how a career at Michels Construction, Inc. can change yours.
As a Project Superintendent - Foundations, your key responsibilities will be to direct the activities of workers by performing the following duties personally or through subordinates. You will be responsible for multiple projects at once and will need to communicate and coordinate with the General Superintendent as well as Michels Safety staff, foreman, Project Managers, etc. The salary range for this position is $112,000 - $169,000 annually. This information reflects the anticipated base salary range for this position. Pay will be determined based on an individual’s skills, experience, education, and other job-related factors permitted by law
Why Michels Construction, Inc.?
We support dynamic and growing industries
We are family owned and operated
We invest an average of $5,000 per employee on training each year
We reward hard work and dedication with limitless opportunities
We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors
Michels offers a comprehensive benefits program, subject to eligibility requirements, including medical insurance, dental insurance, life insurance, flexible spending accounts, health savings account, short-term and long-term disability insurance, 401(k) plan, legal plan, and identity theft and monitoring plan. 15 to 25 days of paid time off and 8 paid holidays annually.
Why you?
You thrive in fast-paced environments under tight deadlines
You relish new challenges and evolving technology
You enjoy collaborating and communicating with your teammates
You like to know your efforts are noticed and appreciated
You have a serious commitment to safety
You lead by example
What it takes:
5+ years of related experience and/or training in construction industry
Requires experience with structural concrete construction and subcontract management
Knowledge of forming systems, mix designs and admixtures desired
Must possess a valid driver license for the type(s) of vehicles which may be driven and an acceptable driving record as determined by the Michels Review Team
Ability to travel and commit to long term onsite projects
#LI-RB1
This information reflects the anticipated base salary for this position based on current market data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on individual’s skills, experiences, education, and other job-related factors permitted by law.
Expected Salary Range
$112,000
—
$169,000 USD
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: Buenos Aires, Argentina
We are seeking a skilled
Structural Drafter & Modeler
to support our residential and commercial projects across the U.S.
Responsibilities
Draft and model structural elements for residential and commercial projects (wood, steel, concrete).
Prepare detailed construction drawings, plans, and documentation.
Collaborate with engineers and architects to ensure accuracy and compliance with project requirements.
Revise drawings and models based on feedback from the project team.
Maintain organized project files and meet established deadlines.
Requirements
5+ years of experience as a structural drafter/modeler delivering steel detailing and fabrication drawings using Advance Steel.
Proven experience on residential and commercial structural projects, including U.S.-based projects.
Expert-level proficiency in Advance Steel for steel detailing, connections, and fabrication deliverables.
Working proficiency in AutoCAD for coordination and 2D drafting is a plus.
Working proficiency in Revit for coordination with structural models is a plus.
Strong knowledge of structural drafting standards and practices.
Fluent in English
.
Ability to deliver a professional
portfolio of completed structural drafting/modeling projects using Advance Steel
.
Available during Eastern Time business hours.
Benefits
Flexible schedules.
Work from anywhere.
Location: Dammam, Saudi Arabia; Jeddah, Saudi Arabia
Eram Talent is seeking a dedicated Pasteurization Plant Operator to join a reputable client in Saudi Arabia. This role involves operating and monitoring the pasteurization process within a food or beverage production facility to ensure products meet safety, quality, and regulatory standards. As a Pasteurization Plant Operator, you will play a crucial part in maintaining the integrity and efficiency of production operations.
Location:
Eastern Region,Saudi Arabia
Responsibilities
Operate and monitor pasteurization equipment according to established procedures and safety guidelines.
Conduct regular inspections and maintenance of pasteurization machinery to prevent breakdowns.
Record and report operational data, including temperature, pressure, and production volumes.
Identify and troubleshoot process deviations or equipment malfunctions promptly.
Ensure compliance with food safety standards and quality control policies.
Collaborate with quality assurance and maintenance teams to optimize production processes.
Maintain a clean and safe working environment following health and safety protocols.
Requirements
Diploma or degree in Food Technology, or related field.
3+ Years of work experience in the same field
Rotary filling machine
krones filling machine
Blow Molding Machine
Tubular pasteurizer and CIP systems
Proven experience in operating pasteurization or heat-treatment equipment within a production environment.
Good understanding of food safety standards and quality assurance practices.
Ability to perform routine maintenance and troubleshoot equipment issues.
Strong attention to detail and adherence to safety procedures.
Effective communication skills and ability to work in a team.
Willingness to work in shifts as required.
Location: Dhahran, Saudi Arabia
Eram Talent, an ISO 9001:2015 certified division of Eram Group, delivers human resources, industrial projects, and maintenance services solutions across a broad range of sectors, including oil and gas, petrochemical, power, infrastructure, water, mining, healthcare, and IT. With deep industry coverage and a strong track record supporting complex project environments, the company helps clients execute critical initiatives with the specialist expertise they need.
In this role, you will provide high-value estimating support for major capital projects, bringing rigorous cost validation and project insight to complex project decisions. This position is well suited to a senior estimating professional who can bring structure, judgment, and credibility to estimate development and assurance across major project phases and stakeholders.
Responsibilities
Prepare, review, and validate TIC estimates for Pre-FEED, FEED, Detailed Design, Project Proposal, and Execution phases.
Develop and review estimate basis documents, assumptions, exclusions, contingencies, escalation strategies, and estimate methodologies.
Evaluate engineering, procurement, construction, commissioning, and startup cost components.
Conduct independent estimate reviews and estimate challenge sessions.
Validate contractor, EPC, and consultant estimates.
Requirements
Bachelor’s degree in Mechanical, Civil, Electrical, Chemical, Industrial, or a related engineering discipline from a recognized university.
Minimum 25 years of progressive experience in capital project cost estimating.
Minimum 15 years of direct experience supporting Saudi Aramco capital projects.
Demonstrated experience in preparing, reviewing, validating, and assuring Total Installed Cost (TIC) estimates for major and mega capital projects.
Proven experience in upstream Oil & Gas projects.
Extensive involvement in capital projects exceeding USD 500 million; experience on multi-billion-dollar capital programs preferred.
Experience with Aspen Capital Cost Estimator (ACCE).
Experience using proprietary estimating and benchmarking databases.
Expertise in the AACE estimate classification system.
Expertise in EPC project delivery models.
Expertise in construction productivity analysis.
Expertise in labor all-in rates development.
Expertise in engineering and construction unit rate development.
Expertise in cost trend analysis.
Expertise in escalation and inflation modeling.
Presently in Saudi Arabia on a transferrable Iqama.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role
We are seeking an exceptional Staff Applied Researcher to join our Applied Science team. You will be responsible for building the algorithmic systems that power Garner — determining how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access.
You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches
Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner
Review applied science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
The ideal candidate has:
6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills, including at the executive level, with a track record of driving alignment across an organization
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
Why this role
This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes.
Compensation Transparency:
The target base comp range for this position is
$260,000 – $382,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Lisbon; Belgrade
Workplace: OnSite
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 Middle/High-Middle DevOps / SRE Engineer to help run and improve our production platform in GCP + GKE, fronted by Cloudflare, with observability in Datadog and CI/CD in GitHub Actions.
You’ll work closely with Senior/Principal engineers, implementing reliability improvements, expanding monitoring coverage, and reducing operational toil - especially important in a highload system with sudden traffic spikes.
KEY RESPONSIBILITIES
Platform Operations
- Operate and improve production systems on GCP, GKE, and related managed services
- Contribute to platform reliability, scalability, and operational improvements alongside Senior and Principal engineers
Infrastructure & Delivery
- Implement infrastructure changes using Terraform and maintain Kubernetes configurations, Helm charts, and deployment tooling
- Improve CI/CD automation and deployment reliability
Observability & Incident Management
- Build and maintain monitoring, alerting, and observability in Datadog
- Participate in incident response, troubleshooting, and postmortem activities
Security & Cost Optimization
- Support security tooling, vulnerability remediation, and secure platform practices
- Identify and implement cost optimization opportunities without compromising reliability
REQUIRED QUALIFICATIONS
- Hands-on production experience with Kubernetes (ideally GKE) and basic cluster operations.
- Working experience with Terraform and Helm in PR-based workflows.
- Familiarity with GCP services used in SaaS operations (e.g., Cloud SQL, BigQuery, BigTable, Pub/Sub, Cloud Run, Memorystore).
- Monitoring/alerting and troubleshooting skills (preferably Datadog).
- Strong scripting/automation mindset to reduce manual work and prevent repetitive incidents.
- Reliability awareness: understanding how changes affect availability/latency and how to operate under SLA constraints.
PREFERRED QUALIFICATIONS
- Cloudflare basics (WAF/DNS, edge concepts; Workers/CDN is a plus).
- Experience writing/maintaining runbooks and participating in postmortems.
- Exposure to SOC 2 / PCI-DSS requirements or willingness to learn.
- Experience in high-load consumer products or game dev.
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: Remote Roles - APAC
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 of 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.
About The Opportunity
OKX is looking for a
Senior AI Creative Innovator(Paid Ads)
to develop AIGC video and AI-animated assets for paid ads to drive OKX’s global market growth and product launches.
What You’ll Be Doing
Concept and execute high-impact creatives for ads growth and marketing, from initial brief through final asset delivery
Use AI to accelerate every phase of the design process: ideation, moodboarding, asset variation, copy iteration, and production polish.
Sort out AIGC prompts and internal visual resource library to improve design efficiency.
Possess fluency with generative AI tools across the design stack (Figma AI, Claude, ChatGPT, Gemini VEO, Seedance etc)
Present creative work to stakeholders and advocate for design decisions with clarity and conviction
What We Look For In You
Bachelor’s degree
5 years of experience in design with a focus on marketing, advertising, or performance creative—ideally in tech, fintech, or a high-growth startup environment
Active hands-on proficiency with AI image & animation creative tools, translating AI capabilities into performing creatives and business outcomes
Comfort working at speed in a remote environment while maintaining a high bar for work quality
Experience partnering with business development and local market teams to produce and iterate on ad creative
Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams
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.
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
.
Требования:
- Основы Python/JavaScript
- Написание и улучшение кода
- Знание Visual Studio, Git, API
- Интерес к сфере ИИ
- Рассматриваем студентов на подработку
Обязанности:
- Писать скрипты для сервисов и обработки данных
- Читать техническую документацию API
- Тестировать и отлаживать интеграции
- Работать с технологиями ИИ
Условия:
- Удобный график, удаленная работа
- Обучение на практике
- Карьерный рост до team lead
- Дружный коллектив