AI Jobs

Education Requirements:

• Relevant certifications, Degree or Diploma in Operations Management or Office administration or related fields

Experience Requirements:

• 2-3 years’ experience in procurement, office administration, operation coordination or a similar role or experience

Responsibilities:

• Plan and organise internal meetings, conferences and client visits including securing meeting rooms, arranging catering and ensuring all equipment’s is ready and operational

• Responsible for day to day operations of office activities such as handling of office supplies, managing mail and deliveries and supporting colleagues with general administrative tasks

• Manage the asset and equipment tracking, organisation and replenishment of supplies, ensuring accurate inventory tracker for effective asset governing

Education Requirements:

• Bachelor’s degree in any relevant disciplines (Finance, Business Management, Project Management, Information System or Computer Science)

Experience Requirements:

• Minimum 2+ years of experience as consultant/support role in application/software project delivery

Other Requirements:

• Sound knowledge on SaaS product, cloud/ on-premises hosting, project management approach and web/ app application is an advantage

• Excellent communication and presentation skills

• Fluent in English, Cantonese, and Mandarin

• Fresh graduate with passion in the digital industry will also be considered

Responsibilities:

• Learn and master product features and acts as application specialist to present our product values to clients

• Gather user requirements and translate them into actionable items for implementation

• Prepare project/ product document such as User requirement document, Use cases, User Manual, UAT Test Plan etc.

• Receive and manage clients’ reported issues and provide initial investigation and response to the client

• Trouble shoot on issue by analyzing error log and keep track of issue status and follow up in well manner Work across multiple internal teams and external partners to ensure project success Offer professional user training and support to clients on our enterprise products Keen on learning, fast on picking up new technology and applying them in projects with practical deliverables

Education Requirements:

• A PhD degree holder in Computer Science or related disciplines.

Other Requirements:

• Excellent verbal and written communication skills in English.

• Extensive knowledge in machine learning and AI algorithms, especially in natural language processing (NLP), speech recognition, and/or related areas is preferred.

• Strong mathematical/analytical foundation, problem solving skills.

• Experience in software developments for machine learning/AI algorithms are highly preferred.

Responsibilities:

• Perform research directed toward investigation, evaluation, and application of known machine learning theories and principles, especially deep learning techniques.

• Plans and conducts, or direct engineering personnel performing complex engineering analyses and experiments to test, prove, or modify theoretical propositions on basis or research findings and experiences of others researching in related technological areas.

• Evaluate findings to develop new concepts, products, or processes, or to develop applications of findings to new uses.

• Write technical papers to be published in prestigious conferences and journals.

• Prepare technical reports for use by engineering or management personnel for long- and short-term planning.

Education Requirements:

• Bachelor’s degree or higher in Computer Science or related discipline.

Experience Requirements:

• 5+ years of relevant experience required.

Other Requirements:

• Familiarity with various technology stacks including Linux, Kubernetes, Microservices Architecture, Kafka / NATS, RDBMS, Python and JavaScript.

• Experience with troubleshooting and software development processes.

• Good understanding of business processes and solutions.

• Good command of English, Cantonese and Mandarin speaking, good presentation and writing skills.

• Self-motivated, energetic, and organized.

• Flexible and able to work under pressure.

• Eager to learn new technologies and investigate technical issues.

Responsibilities:

• Design software solutions using the company’s AI products to meet customer needs.

• Provide technical support during pre-sales and post-sales phases.

• Examine current system architecture and work with client business and technical staff to recommend solutions that will result in more efficient systems.

• Conduct and lead technical discussions with the client’s IT department to ensure that the company’s AI products can be reliably and securely deployed into the client’s environment.

• Understand and mitigate the risks of third-party software and modules that will be encountered in the solution design. Evaluate and decide what frameworks, platforms and technology stacks should be used for specific solution designs. Keep up to date with relevant competitive products and solutions.

Education Requirements:

• Bachelor’s Degree or above

Experience Requirements:

• 3+ years of enterprise software sales experience

• Demonstrated track record in achieving sales targets

Other Requirements:

• Good presentation & written skills in English

• Able to demonstrate good understanding of operational as well as sales closing processes

• Self-motivated, energetic, and organized

• Flexible and able to work under pressure

Responsibilities:

• Drive sales cycles to achieve sales targets

• Develop and nurture relationships with customers

• Engage prospects to understand their requirements and recommend suitable solutions

• Perform presentations, demos, proposal development and other sales activities

• Work closely with partners when necessary to align solution designs with client’s business requirements Keep up to date on relevant competitive products & solutions

Education Requirements:

• Master degree or PhD degree in thermal

Experience Requirements:

• Experience in HVAC, Thermal storage and Automation and control systems

• Experience in SaaS and Algorithms using Artifical intelligence

• Experience in Project managament from presales to implementation

Responsibilities:

• sourcing of new local (China) opportunities

• assessment studies and HVAC solution engineering

• business planning and target group of key customers

• customer lifecycle from discovery, presales to implementation and monitoring

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development, with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Experience Requirements:

• 8+ years of hands-on experience with PySpark and strong knowledge in Python programming language.

Responsibilities:

• Strong proficiency in developing data solutions using Python (OOP).

• Solid understanding of distributed computing concepts and hands-on experience with PySpark.

• Familiarity with PySpark performance tuning will be an added advantage.

• Familiarity with data warehousing solutions and best practices.

• Proficient in SQL with the ability to optimize queries for performance & proficient in database management and data modelling.

Benefits:

• 식대지원

• 장비지원

• 스톡옵션

• 자기계발지원

Experience Requirements:

• 2-5 years

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Experience in industry machine learning roles as a technical leader or principal/staff engineer.

• Excellent knowledge of both Data Science (python, SQL) and production tools

Responsibilities:

• Training and fine-tuning models to help customers get more value from our chatbot and app through deeper personalisation, creating a smarter & more engaging experience

• Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog: [Let's have an Espresso: MLOps at Cleo](https://web.meetcleo.com/blog/lets-have-an-espresso-mlops-at-cleo).

• Integrating our models with LLMs hosted by OpenAI, Anthropic, GCP, AWS

• Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health

• Driving the adoption of appropriate state-of-the-art techniques for recommendation, message campaign optimisation, and contextual bandits.

Experience Requirements:

• 3+ years in a testing organization/ department with experience in functional, automation, and performance testing

Responsibilities:

• Review system requirements and track quality assurance metrics

• Implement tests, debug, and define corrective actions

• Understand customer’s project and implement the same scenario using the Appvance platform

• Architect and design complex testing scripts in a short time frame

• Document new processes and keep existing documents updated

Education Requirements:

• Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields.

Responsibilities:

• Lead a research project, which will be broadly focused on a problem related to generative or predictive modeling of molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and hypotheses.

Benefits:

• Competitive compensation package that includes salary and equity.

• Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).

• 401(k) plan.

• Open (unlimited) PTO policy.

• Free lunches and dinners at our offices.

Responsibilities:

• Lead transformative research projects that enhance the Genesis AI platform's capabilities, focusing on generative models for molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and work closely with engineers to ship state-of-the-art models to production.

• Contribute to the research community by publishing some of our findings in the form of research papers and blog posts at top tier AI/ML venues (NeurIPS, ICML, ICLR, etc.), attending conferences and workshops, and engaging in continuous learning and knowledge exchange.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for the ML Research group, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for an ML Research team, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Benefits:

• Medical/Dental/Vision, 401K match, PTO, and federally recognized holidays

• Competitive salaries with performance incentives

• Generous vacation policy and paid holidays

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

Education Requirements:

• Bachelor's in Intelligence Studies, Computer Science, Data Analytics, or a related field, or an Associate degree with significant operational experience

Experience Requirements:

• At least five years in intelligence analysis within the U.S. intelligence community, preferably with exposure to military or other intelligence sectors

Other Requirements:

• U.S. Citizenship with Top Secret/SCI Clearance

• Must meet ICD 704 eligibility criteria without waivers or conditions

• This role requires a commitment to maintain a Final TOP SECRET SCI Clearance. Dual citizenship is not permitted, and the position mandates sole U.S. citizenship, following strict federal compliance guidelines

Responsibilities:

• bring your sharp analytical skills and extensive intelligence experience to fortify our operations

• be stationed at our client site in Camp Springs, MD, leveraging your expertise in intelligence analysis to navigate complex data landscapes

• Your role will be pivotal in synthesizing actionable insights from varied intelligence sources, including cybersecurity and border security sectors

Benefits:

• Healthcare

• 401(k) Match

• Referral Bonuses

• Wellbeing

• Annual Leave (flexible PTO globally, complying with local regulations.)

Benefits:

• $175,000 base salary

• Equity options

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

Experience Requirements:

• 7+ years of experience as a Data Engineer

Other Requirements:

• deep expertise in AWS services (Redshift preferred)

• proficient with Python and have experience working with Kubernetes (K8s)

• comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)

• comfortable with Infrastructure as Code (e.g., Terraform)

• experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture

• product mindset, balancing technical excellence with business needs to deliver scalable solutions

• communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan

Responsibilities:

• Scope and own projects to build, improve, and maintain scalable data ingests and pipelines

• Design and implement solutions that are resilient, well-monitored, and cost-effective

• Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications

• Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning

• Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes

Benefits:

• Base salary + commission plan (50-50 OTE split)

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

• 10 Paid Holidays

Experience Requirements:

• 3+ years of experience as an account executive in SaaS sales

• experience navigating six to seven figure ACV sales processes with large, complex customer prospects

• experience working in early-stage startups and are comfortable navigating ambiguity

Other Requirements:

• entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment

• top performer in your current role, with strong communication skills and a consultative sales approach

• technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation

• team-first mindset and are eager to help others succeed while simultaneously driving your own results

Responsibilities:

• Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals

• Work both inbound leads generated by the SDR team and self-sourced opportunities

• Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved

• Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting

• Achieve and exceed ambitious monthly quotas, demonstrating consistent performance

Education Requirements:

• BS or MS in Computer Science, Engineering, or a related field

Experience Requirements:

• 5-10 years of experience as a Backend engineer

Other Requirements:

• Strong proficiency in at least one modern frontend framework

• Experience with IaC

• Strong proficiency in Python

• Experience with AWS

• Experience with SQL or NoSQL databases

• Experience with Docker and container orchestration systems (e.g. Kubernetes) (a plus)

• Strong communication skills

• Experience working with Elasticsearch / Opensearch

Responsibilities:

• Work closely with the rest of the team to design and implement our backend, frontend, and infrastructure

• Collaborate with other engineers and designers to build a user-friendly platform

• Help define and execute the technical roadmap for our platform

• Inventing, extending, and maintaining development processes, tools, and workflows

Education Requirements:

• Bachelor’s degree in Business, Engineering, Computer Science, or a related field; MBA preferred

Experience Requirements:

• 5+ years of experience in product management

Other Requirements:

• Strong understanding of AI technologies and market trends

• Proven ability to manage the full product lifecycle

• Excellent communication, leadership, and project management skills

• Analytical mindset

• Experience with Agile methodologies

Responsibilities:

• Define and communicate the product vision and strategy

• Lead the product development process

• Conduct market research

• Collaborate with cross-functional teams

• Develop and prioritize product features