HEY,
BOSTON

Director of Product Management Location: New York (3 days in office)Compensation: $180,000 - $230,000 A fast-growing AI start-up is on a mission to redefine how brands engage their audiences. This platform puts AI on the front lines - empowering organisations to connect directly with consumers through intelligent, brand-safe agents deployed across owned and paid channels.As their Director of Product, you'll shape and lead the roadmap for a next-generation platform at the heart of AI-powered consumer engagement. You'll work cross-functionally to turn ambiguous problems into clear, high-impact product strategies, while collaborating with enterprise partners, internal teams, and company leadership to deliver exceptional outcomes. What You’ll DoDefine and own the product roadmap, balancing vision with rapid execution and measurable success metricsDesign and launch innovative new features that harness AI to deliver value across marketing, customer experience, and brand engagementWork closely with design, engineering, and go-to-market teams to bring new concepts to lifeTranslate customer and stakeholder needs into scalable product solutionsContinuously evaluate market trends and emerging technologies to inform product strategy and positioningCommunicate product direction with clarity and influence at all levels, from team leads to C-suiteWhat You Need10+ years of product management experience, ideally with 4+ years in marketing tech, advertising tech, or customer engagement platformsBachelors or Masters degree within relevant technical/scientific fields Proven track record leading AI-focused product initiatives and go-to-market launchesHighly analytical mindset paired with a passion for elegant, user-centric designStrong communication skills, able to align diverse stakeholders around a clear product visionComfortable working in a fast-paced, evolving environment where innovation and agility are keyApply now to learn more with a confidential conversation!

Job Title: MLOps EngineerWork Arrangement: RemoteLocation: Toronto, CanadaSalary: Up-to $125,000 CADMLOps Engineer – Real-Time AI SystemsWe're looking for an experienced MLOps Engineer to help deploy and scale cutting-edge ML models for real-time video and audio applications. You'll work alongside data scientists and engineers to build fast, reliable, and automated ML infrastructure.Key ResponsibilitiesBuild and manage ML pipelines for training, validation, and inference.Automate deployment of deep learning and generative AI models.Ensure model versioning, rollback, and reproducibility.Deploy models on AWS, GCP, or Azure using Docker and Kubernetes.Optimize real-time inference using TensorRT, ONNX Runtime, or PyTorch.Use GPUs, distributed systems, and parallel computing for performance.Create CI/CD workflows (GitHub Actions, Jenkins, ArgoCD) for ML.Automate model retraining, validation, and monitoring.Address data drift, latency, and compliance concerns.What You Bring3+ years in MLOps, DevOps, or model deployment roles.Strong Python and experience with ML frameworks (PyTorch, TensorFlow, ONNX).Proficiency with cloud platforms, Docker, and Kubernetes.Experience with ML tools like MLflow, Airflow, Kubeflow, or Argo.Knowledge of GPU acceleration (CUDA, TensorRT, DeepStream).Understanding of scalable, low-latency ML infrastructure.Nice to HaveExperience with Ray, Spark, or edge AI tools (Triton, TFLite, CoreML).Basic networking knowledge or CUDA programming skills.

Job Title: AI ResearcherWork Arrangement: HybridLocation: San JoseWe are seeking a talented Computer Vision AI Researcher with expertise in stable diffusion, diffusion models, GANs, NeRFs, and text-to-image/video synthesis.Key Responsibilities:Conduct pioneering research in computer vision, focusing on diffusion models and text-to-Image/videoDevelop advanced GAN architectures tailored for specific computer vision applications.Investigate NeRFs and related techniques to enhance 3D scene understanding.Drive advancements in text-to-image and text-to-video synthesis using deep learning methods.Collaborate closely with cross-functional teams to productise researchQualifications:Strong research background in stable diffusion, GANs, NeRFs, and text-to-image/video synthesis, evidenced by publications in top-tier conferences or journals.Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).Experience with large-scale data processing and model training.

Computer Vision Engineer – Hybrid Los Angeles – Up to $220k + Bonus + Equity Startup of 10+ engineers building next-stage real-time vision and sensing systems for defense and autonomy. Profitable and customer funded with no outside investment. Their platforms span digital terrain mapping, classical computer vision, and high performance signal processing, with hardware already deployed in the field. What You’ll Be DoingDesigning and implementing low-latency vision pipelines in C++ for mission-critical defense applications (e.g., region-of-interest tracking, camera calibration, sensor fusion).Collaborating closely with hardware teams to integrate cameras, IMUs, and other sensors on embedded platforms—pushing algorithms from prototype to production.Conducting field-testing (flight tests, desert range tuning) to validate and optimize real-world performance.Working on digital terrain modeling, object-tracking algorithms (drone-to-drone intercept, remote weapons platforms), and AR/display research.Writing reusable, well-documented code that ensures reliability under harsh conditions and tight real-time constraints.Must-Haves3+ years of professional experience developing C++ systems (preferably on Linux).Strong background in classical computer vision or signal processing (Kalman filters, ROI tracking, camera calibration, etc.).Comfortable working hands-on with sensors, cameras, and embedded hardware.Interest in field testing and tuning algorithms in live environments.U.S. Citizen or Green Card holder (required for defense-related work).Nice-to-HavesCUDA/OpenCL experience or other GPU-accelerated development.Prior work on SLAM or visual-inertial odometry for airborne or ground-robot platforms.Experience architecting software for long-range tracking (drones, aircraft, missiles).Familiarity with ROS, RTOS, or other robotics middleware.

Research Engineer – AI Systems R&D Location: Menlo Park, California, United States (On-site)Type: Full-time/permanent Are you excited by the challenge of translating cutting-edge AI research into real-world applications? Do you thrive at the intersection of engineering and innovation, building experimental frameworks and tools to accelerate scientific discovery?An Applied AI Research company in Menlo Park is looking for a Research Engineer to join its advanced R&D team. In this hands-on role, you’ll help bridge the gap between exploratory research and deployable systems - playing a key part in the development of next-generation intelligent agents and AI architectures. What You’ll Be Doing:Implement and iterate on novel machine learning techniques, tools, and benchmarksBuild infrastructure that supports large-scale experimentation and performance evaluationEvolve internal agent frameworks, focusing on efficiency, adaptability, and scalabilityCollaborate with researchers to translate new ideas into practical prototypes and working systemsMaintain a high-quality codebase, leveraging version control, CI/CD, and peer reviewsWhat We’re Looking For:Background in software engineering with experience working on ML or AI-centric systemsProficiency in Python and/or C++, with a deep understanding of code optimisation and system-level designFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow) and experience building tools that support research workflowsStrong grasp of experimental methods, benchmarking, and AI evaluation metricsCreative problem-solver with a collaborative mindset and solid communication skillsWhy This Role?Work at the forefront of applied AI research with a team that values technical depth and creative freedomShape early-stage systems with the potential to influence future product design and capabilitiesJoin a tight-knit, high-impact team tackling some of the most compelling challenges in modern AIIf you're ready to build and scale the backbone of AI research and deployment, we’d love to hear from you! Apply now to learn more with a confidential conversation.