Machine Learning Jobs

About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive. About the Role New and novel approaches are needed to realize all of our product goals. As a Machine Learning Scientist at Sesame, you are a research-oriented person with experience in NLP, Speech, and/or Computer Vision with a focus on deep learning. You are up to date on recent papers and approaches and you have the creativity and the intuition to come up with new solutions based on the application at hand. Responsibilities: Contribute to the development of our ML models across multiple modalities. Work across the ML stack, including model architectures, data curation, model evaluation, training & inference infrastructure, research, and experimentation. Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals. Required Qualifications: Experience working independently in high-ambiguity environments. Published papers in NLP, Speech, or Computer Vision involving large-scale deep learning. Familiar with the state of the art in AI. Bachelor’s degree or higher in CS or related field. Preferred Qualifications: Masters/PhD desired. Experience working with products. Experience in a startup environment. Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance. Full-time Employee Benefits: 401 (k) max employer match: 3.5% of compensation 100% employer-paid health, vision, and dental benefits for you and your dependents Unlimited PTO and sick time Flexible spending account with employer matching up to $1,650/year (medical FSA) Guardian Employee Assistance Program (EAP) Opportunity to share in the company's success with competitive stock options Benefits do not apply to contingent/contract workers.

Want to create a positive impact through AI? Founded as one of the first AI companies in Belgium with a mission to create a meaningful impact, we are believers in automation and efficiency. We see Artificial Intelligence as a toolbox that will allow us to automate more of the growing list of tasks that no longer require human-level cognition. We are a tech team specialising in AI engineering, LLM systems, and MLOps. At Sagacify, part of Craftzing, you will find a collaborative human-sized environment with a great team spirit where you can bring ideas and take responsibilities in the areas you want to evolve in, regardless of your level of experience. We strive to create innovative digital solutions with a lasting impact, in a fun atmosphere where remote work, flexible schedules and regular team events are part of our culture. We are looking for skilled people and team players to join the adventure. Your role : We're on the lookout for a Mid-Level / Senior ML & GenAI Team Lead who is equally at home in pull requests as in people conversations. Someone who does not see leadership and technical depth as a trade-off, but as two things that make each other better. In this role, you will help build and steer a high-performing team of ML and AI Engineers, while staying an active contributor on client projects that actually ship. In practice your time is split roughly between 30% of leading the team and 70% of hands-on delivery. In this role you sit at the intersection of working across teams, offices, and disciplines. You report to the Head of ML at Sagacify and collaborate closely with the Craftzing delivery organisation. We're on the lookout for a Mid-Level AI Systems Engineer who bridges AI engineering and MLOps. Someone who loves getting hands-on with LLMs, agents, and RAG pipelines, and who cares just as much about what happens once a model reaches production as about building it in the first place. In this role, you'll design, build, deploy, and operate production-grade AI systems, with a strong focus on generative AI, LLM-based applications, and reliable machine learning operations. In practice your time is split roughly between 60-70% AI Engineering and 30-40% MLOps. In this role you sit at the intersection of engineering and operations, working across teams and disciplines. You'll report to the Head of ML at Sagacify and collaborate with the wider Sagacify and Craftzing delivery organisation. A role that can naturally grow towards a Team Lead position over time. What you'll do : AI Engineering (60-70%) Orchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces Develop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs Build and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers Evaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias) Deploy and scale solutions with strong attention to latency, security, reliability and cost efficiency Keep an eye on the ecosystem for new models, frameworks and techniques, including open-source tools such as LangChain, LangGraph, Langfuse, etc. Perform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively MLOps (30-40%) Build and maintain automation for model deployment, including CI/CD pipelines and automated testing Continuously monitor model performance in production, including drift detection and quality metric tracking Manage updates of libraries, models, and related dependencies in production environments Ensure versioning, reproducibility and safe rollout of models and AI services Collaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery Stay current with the latest MLOps practices, tools and platform components You stay in the code, you stay curious about what happens after deployment, and you keep learning as you go. What you’ll work with : Core technologies : Python OpenAI API, Hugging Face Transformers LangChain, LangGraph, Langfuse FastAPI or Flask, Docker, Kubernetes, CI/CD pipelines Cloud GPU AWS (S3, SQS, IAM, RDS, etc.) Bonus points for experience with : TypeScript Azure AI-native engineering workflows: hands-on experience using AI coding agents and AI-assisted development environments (Cursor, Claude Code, Windsurf, Copilot, etc.), including context engineering, subagent orchestra… About you : You have 3 to 5 years of experience in AI/ML engineering or related fields You have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine-tuning approaches You have strong problem-solving ability and algorithmic creativity You communicate clearly with both technical and non-technical stakeholders You have a team spirit and enjoy collaborating across multiple roles You bring rigour, responsiveness and a good incident-handling mindset You're autonomous, curious, and quick to learn new tools You can communicate fluently in Dutch, English and French, or at least the first two languages Don’t worry if you don’t tick every single box, what matters most is the right mindset and a drive to learn. If you think we’re a match, we’d love to hear from you. Why you will love working with us : You'll be part of a team of enthusiasts who love to learn and continuously develop skills in different areas and technologies. You'll work with both the Sagacify and Craftzing teams, purposefully driven to create solutions that make a lasting difference, in an environment tailored to your needs. Join us and contribute to the world of tomorrow by fast-tracking our customer’s AI journey in various industries.