Experience Requirements:

• 5+ years experience in building distributed backend systems

• 2+ years Big data experience

• 2+ years Python experience

Responsibilities:

• This is an umbrella role for different types of backend applications including;

• Our macOS, Windows and Linux applications

• Micro services development for our web applications

Education Requirements:

• Any graduate or master’s degree in science, engineering or technology

Experience Requirements:

• 3+ years of experience in Compliance, Security, or IT Audit experience

• Total experience of 6-8 years

Responsibilities:

• Support business teams to achieve and maintain their security and compliance posture in accordance with ISO 27001, GDPR, HIPAA, Data Privacy, etc

• Validate ongoing compliance of policies and process/procedures in support of requirements and ensure that controls are operating effectively

• Prepare responses to client questionnaires and RFPs on information security, compliance and data privacy related areas.

• Provide support and clarity to customers and users of the information and cyber-security policy framework answering related questions and challenges as they arise

• Interface and engage both management and other functions in organization on information security compliance related activities and processes Lead the effective publication of policy materials and documents Risk Management Present and report regularly infosec dashboard to management and stakeholders Assist with the development of technical security risk and compliance documentation Document and Communicate status and compliance effectiveness to management on a regular basis Conduct regular internal audits on information security Manage external audits from customers, stakeholders and regulatory agencies Maintain and manage ISMS related documents, reports, and artefacts Coordinates the issuance of access control and drive change management activities Manage vendor and third-party due diligence documentation Internal consultant for IT domain leads, administrators for security infrastructure, and assisting them to implement security devices configuration controls for firewalls, Internet connectivity, Proxies, IPS and router etc

Experience Requirements:

• 2 – 5 years of experience

Responsibilities:

• Develop new user-facing features

• Build reusable code and libraries for future use

• Ensure the technical feasibility of UI/UX designs

• Optimize application for maximum speed and scalability

• Assure that all user input is validated before submitting it to the back-end Skills: MongoDB, Express, React.js and NodeJS (Node.js)

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401k plan

• Unlimited PTO

• Fun global offsites!

Education Requirements:

• BS/MS in Computer Science, Mathematics, Statistics, or other quantitative field

Experience Requirements:

• Strong engineering background, preferably in machine learning or data science

• Experience with programming languages like Python, Java, C++, or similar

• Experience with cloud environments like AWS

• Excellent communication and analytical problem-solving skills

• Willingness to travel to customers if needed

Other Requirements:

• Have good character, integrity, and respect for others!

Responsibilities:

• Apply creativity, analytical ability, and technical skills to solve key AI problems for customers

• Set up and walk through custom product demos to showcase platform capabilities to prospective customers

• Create example scripts, develop custom evaluation datasets, build custom web apps, and write technical docs to educate customers on how to use the platform

• Guide customers on best practices for LLM evaluation and advise them on AI strategy

• Write technical blog posts and evangelize the product and company on social media and at community events

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401k plan

• Unlimited PTO

• Fun global offsites!

Education Requirements:

• PhD in Computer Science, Mathematics, Statistics, Linguistics or other quantitative field.

Experience Requirements:

• Publications at leading AI conferences, journals or workshops, such as NeurIPS, ICML, EMNLP, ACL, AAAI.

• Experience conducting empirical NLP research in an academic or industry research lab.

• Knowledge and understanding of state-of-the-art machine learning concepts, with a focus on NLP and search architectures.

• Experience training language models in applied or research settings.

• Experience working and communicating cross functionally in a team environment.

Other Requirements:

• Have good character, integrity and respect for others.

Responsibilities:

• Lead a team of Research and ML engineers to conduct research experiments and translate findings to applied AI features in the product.

• Solve challenging, open ended problems in AI evaluation research.

• Work closely with the CTO to set and drive research vision for the company.

• Scope and drive research projects, including experiment design, timelines for research deliverables, results analysis.

• Synthesize literature on AI evaluation and LLM development.

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401k plan

• Unlimited PTO

• Fun global offsites!

Education Requirements:

• BS/MS in Computer Science, Mathematics, Statistics, or other quantitative field; PhD preferred

Experience Requirements:

• Knowledge and understanding of state-of-the-art machine learning concepts, with a focus on NLP.

• Familiarity with transformer-based architectures, attention mechanisms, evaluation metrics and benchmarks

• Experience training language models in applied or research settings.

• Deep familiarity with pytorch and ML tooling such as job schedulers, the Hugging Face transformers library, and Weights & Biases.

• Experience conducting AI research in an academic or industry research lab.

Other Requirements:

• Have good character, integrity and respect for others!

Responsibilities:

• Develop state-of-the-art systems for AI evaluation.

• Train language models for novel use cases, such as evaluating whether content is engaging, hallucinatory, age appropriate, or contains PII.

• Evaluate whether language models are aligned with human preferences.

• Collect high quality, novel datasets for classification and generative tasks, through synthetic data augmentation techniques and publicly available datasets.

• Conduct novel research on red teaming language models.

Responsibilities:

• Take part in building and maintaining our design system and ambitious design goals.

• Be at the intersection of engineering and design and empower our product teams to build the best products possible.

• Deliver high-quality and scalable solutions.

• Act as a sparring partner to various members of the team.

• Proactively share and debate best practices with your peers.

Responsibilities:

• You will develop solutions to challenging machine learning problems by exploring datasets, training models, and delivering great recommendations to our customers.

• You will contribute to directly impacting not only the business success of our customers but also millions of people around the world in their discovery of items better tailored to their tastes.

• Each customer, each dataset, and each model offers a unique learning opportunity to improve our tech stack, allowing us to deliver the best recommendations with the least effort.

Benefits:

• A hybrid, flexible approach to work where you have access to a lovely office space in Oxford Circus with free lunches on a Wednesday and Friday

• A competitive salary + stock options

• 25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over)

• Private healthcare through AXA, including mental health support through the Stronger Minds service

• Pension contribution - Synthesia contributes 3% and employee contributes 5% on qualifying earnings 🚲 Cycle to work scheme 🥳 You will join an established company culture with optional regular socials and company retreats 🍼 Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay 👉 You can participate in a generous recruitment referral scheme if you help us to hire 💻 The equipment you need to be successful in your role

Experience Requirements:

• Proven experience in leading engineering teams and delivering large-scale projects with predictable outcomes, ideally 2+ years.​

• Strong understanding of engineering levels and experience in scaling teams effectively.​

• Proven ability to track performance and helping every team member improve output and achieve career goals.​

• Relevant engineering background for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, and so on.

Responsibilities:

• Lead the delivery of complex engineering projects, breaking them down into manageable stages with predictable timelines. Make informed decisions on trade-offs and effectively communicate these to stakeholders. Challenge and support senior engineers to achieve technical excellence.

• Understand engineering leveling and scale the team by identifying and filling skill gaps. Collaborate with recruiting to attract and retain top talent, ensuring the team structure supports current and future business needs.​

• Monitor team performance proactively, identifying and addressing issues promptly. Develop strategies to retain top performers through growth opportunities and recognition.​ Navigate difficult conversations with clarity and empathy, especially when working with senior team members. Resolve disagreements by focusing on solutions that align with business goals and foster a collaborative team environment.

Experience Requirements:

• At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level.

• You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture.

• Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on.

Responsibilities:

• You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base.

• You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively.

• You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product.

• You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary.

• You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.

Benefits:

• Potential for stock options

• A dynamic, agile work environment

• A chance to be at the forefront of Security innovation

• Flexible hybrid work arrangement and a healthy work-life balance

• Provided MacBook, monitor, and other essential tools

Experience Requirements:

• Proficient in programming languages such as Python

• Familiarity with cloud services and Kubernetes/Docker

• Solid understanding of pentesting, vulnerabilities, CVEs, CVSS, web exploitation

Responsibilities:

• Conducting research and sharing findings and potential new techniques

• Develop modules and improve our framework for autonomous ethical hacking

• Review modules and validate vulnerabilities to ensure they are valid

• Collaborate with AI engineers/researchers

• Write blog posts about hacking techniques and CVEs

Benefits:

• Potential for stock options

• A dynamic, agile work environment

• A chance to be at the forefront of Security innovation

• Flexible hybrid work arrangement and a healthy work-life balance

• Provided MacBook, monitor, and other essential tools

Experience Requirements:

• Strong experience with cloud platforms (AWS, GCP, or Azure - GCP preferred)

• Proficiency in Kubernetes, Docker, and container orchestration

• Experience with Infrastructure as Code (Terraform, Ansible, or similar)

• Experience building and maintaining testing environments and CI/CD test pipelines

• Solid understanding of CI/CD pipelines and automation tools (Github actions preferred)

Responsibilities:

• Design, implement, and maintain scalable cloud infrastructure.

• Automate deployments, monitoring, and infrastructure as code (IaC)

• Ensure high availability, performance, and security across our systems

• Design and maintain testing environments for developers with appropriate mocking and simulation capabilities

• Manage Kubernetes, Docker, and CI/CD pipelines to streamline development workflows

Experience Requirements:

• Senior

Experience Requirements:

• Junior

Experience Requirements:

• Middle

• Senior