• Design, train, and deploy computer vision models to production with well-understood performance, latency, and cost characteristics. • Own the full ML pipeline: data preprocessing, feature engineering, model selection, training, evaluation, and deployment into sustainable inference services. • Conduct discovery spikes to validate feasibility and inform go/no-go decisions before committing to full development. • Integrate ML solutions with observability tooling, establishing and maintaining benchmarks to measure improvement and compare approaches. • Build automated, self-sustaining ML pipelines. Models should train, evaluate, and deploy with minimal manual intervention. • Inform build-vs-buy decisions with both technical rigor and business context, understanding when in-house models create competitive advantage vs. when vendor APIs are sufficient. • Collaborate with software engineers, data engineers, and product stakeholders to integrate ML solutions into CompanyCam's platform. • Communicate clearly with non-technical audiences about feasibility, requirements, and trade-offs of proposed solutions.

Role Description As one of our AI ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. What You'll Do - Define and drive the technical vision for ML solutions across products and platforms - Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations - Architect high-performance, scalable microservices, including synchronous and asynchronous web services - Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing - Mentor engineers, set technical direction, and foster a strong team culture - Champion engineering excellence, system resilience, and continuous operational improvement Qualifications - Degree in Computer Science, Mathematics, or a related field - 5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations) - 5–10 years of Python expertise, including advanced features and libraries - Strong experience designing RESTful APIs (e.g., FastAPI) - Proficiency with Docker, Kubernetes, and CI/CD pipelines - 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP) - Proven experience as a tech lead or engineering mentor Requirements - MS or PhD in Computer Science or ML - Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT - Familiarity with NoSQL and document databases - Track record of handling big data, optimising workflows, and improving system performance Benefits - Health Care Plan (Medical, Dental & Vision) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Training & Development

• Responsible for building robust chat applications and other generative AI solutions. • Develop and maintain the infrastructure for deploying AI agents. • Implement security best practices and ensure compliance with data protection regulations. • Set up and optimize observability pipelines for generative AI.

Role Description As a member of the Recommendations team, you will apply cutting-edge Machine Learning techniques to build the best recommendations-as-a-service product on the market, transforming the ecommerce experience for hundreds of millions of users worldwide. - Build high-load, real-time recommendation service. - Build end-to-end ML pipelines driving measurable business impact. - Design metrics to evaluate recommendation relevance and performance. - Lead the full development lifecycle from initial design to production. - Participate in strategic planning to help drive product evolution and prioritization. - Collaborate with stakeholders to align technical roadmaps with business needs. - Deep understanding of ML fundamentals and experience building large-scale recommendation, retrieval, or ranking systems. - Expertise in Python and SQL, with hands-on experience in big data systems (e.g., Spark, Presto/Athena, Hive). - Production-level ML experience, including deploying models to production and designing A/B tests to validate business impact. - Analytical mindset with the ability to translate intuition into data-driven hypotheses and high-value engineering solutions. - Excellent communication skills in English, capable of explaining complex technical concepts to non-technical stakeholders. Benefits - 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year. - 🌎 Fully remote team - choose where you live. - 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🧑‍🎓 Training and development budget - refreshed each year for every employee. - 👪 Maternity & Paternity leave for qualified employees. - 🧠 Work with smart people who will help you grow and make a meaningful impact. - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results. - 📈 Stock options - offered in addition to the base salary. - 🎉 Regular team offsites to connect and collaborate. Company Description At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.