Source Job

Australia

  • Translate AI research into production systems for creating accurate, conflated map data products from aerial imagery and geospatial sources.
  • Design, build, and operate scalable software systems using Python, PyTorch, and GIS tools to transform petabytes of imagery into insights.
  • Collaborate closely with researchers and engineers to solve complex problems, improve data quality, and utilize agentic coding tools for exploratory work.

Python PyTorch Machine Learning

20 jobs similar to Senior Machine Learning Engineer (AI & Computer Vision)

Jobs ranked by similarity.

LATAM

  • Design and build AI systems in production that solve real business problems, end-to-end: from discovery to operation.
  • Work with product and operations to translate ambiguous problems into measurable and maintainable solutions.
  • Build data pipelines that feed models and product surfaces.

Skydropx is innovating logistics with a team of visionary people who want to grow and change the world. They are integrating AI into their logistics platform for LATAM, working at a multi-tenant scale with hundreds of thousands of shipments per month.

  • Shaping the Python language ecosystem with a strong product and platform mindset.
  • Architecting, building and delivering high-impact solutions that uplift the Python developer experience.
  • Advocating for Python engineering best practices across the organization.

Canva is a design platform that empowers users to create professional-quality graphics. They offer an inclusive culture with employees across multiple locations.

$120,000–$160,000/yr
US

  • Design, develop, and deploy AI/ML models to automate and improve internal workflow.
  • Build and maintain ML pipelines within an AWS cloud environment.
  • Integrate ML capabilities into existing Java and React application workflows.

Oddball aims to improve daily lives by delivering quality software to the federal space. With a team of experienced engineering, product, and UX professionals, we value learning, growth, and making a big impact in a rapidly growing company.

LATAM

  • Build and improve AI-native products and data-driven systems.
  • Rapidly prototype and iterate on AI-powered features.
  • Analyze, evaluate, and improve model outputs and system reliability.

FutureProofing is a talent platform focused on embedding high-caliber technical talent into startups building real AI-driven products. They work at the intersection of startup execution and real AI product development, helping companies build and improve production AI systems.

$194,000–$228,000/yr
US

  • Design, build, and ship LLM-powered features and agentic workflows for Gametime users.
  • Build and maintain evaluation frameworks and prompt testing pipelines for AI-powered experiences.
  • Contribute to orchestration layer, including agent routing, tool use, and multi-step workflow coordination.

Gametime helps people connect through shared live experiences. They operate platforms on iOS, Android, mobile web, and desktop, supporting over 60,000 events across the US and Canada, fostering a collaborative and inclusive environment where diverse perspectives are valued.

Australia

  • Design, scale, and mature the Kubernetes-based training platform that powers distributed AI workloads across teams and frameworks.
  • Improve the reliability, observability, debugging, and operational support for training systems to ensure efficient and reproducible training.
  • Collaborate with research scientists, ML engineers, and infrastructure teams to shape the platform roadmap and enhance workflows for large-scale AI training.

Canva is a design platform that enables users to create visual content easily. The company has a vibrant, collaborative culture with a large, globally distributed team driven by a mission to democratize design.

US

  • Own technical direction for high-impact AI products.
  • Work across teams to turn big ideas into shipped systems.
  • Help raise the bar for how we build, evaluate, and operate AI in production.

Rula is dedicated to treating the whole person, not just the symptoms, and aims to create a world where mental health is no longer stigmatized. They are a remote-first company that hires in most U.S. states and are passionate about making a positive impact on mental healthcare.

Europe Africa

  • Lead and nurture a growing team of machine learning engineers, supporting their career development through coaching and mentorship.
  • Collaborate with the CTO, Platform and Product Managers to align team priorities with company OKRs.
  • Drive the development and deployment of ML systems, optimising tools and infrastructure for efficiency, while ensuring timeline and goals are met.

Mimica empowers enterprises, teams, and individuals to reclaim their most precious resource — time — and work more efficiently. It is a 45-person team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount.

$75,000–$90,000/yr
Europe

  • Design and ship solutions that are easy to understand and scale well.
  • Own features end-to-end from understanding the business need to shipping on schedule.
  • Optimize the existing stack and chart its next evolution. Keep learning and push those around you.

Shiphero is a software platform trusted by hundreds of ecommerce companies to run their fulfillment. They ship billions of orders each year from sellers on Shopify, TikTok, Amazon, Etsy, WooCommerce, and BigCommerce. It's a profitable, growing company that invests in its product and team.

Global

  • Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
  • Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
  • Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling.

Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They have 550+ professionals globally and power everything from real-time communication and streaming to enterprise AI and secure web applications.

$180,000–$220,000/yr
US

  • Play a key role in the company’s AI strategy and make a meaningful impact across the whole platform.
  • Lead development efforts, mentor engineers and product managers, and make key architectural decisions involving AI.
  • Architect end-to-end AI systems and use data-driven solutions to address complex cybersecurity problems.

AppOmni prevents SaaS data breaches by delivering end-to-end SaaS security. Recognized as a Frost Radar™ 2025 Leader and Great Place To Work ®, AppOmni continues to set the standard for innovation and customer value in SaaS security.

$180,000–$250,000/yr
US

  • Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc
  • Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world
  • Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems

Fal is building the infrastructure, tools, and model access to move from AI idea to production. They aim to be the unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

Global

  • Building pipelines that augment documents with metadata.
  • Building systems to ensure the reliability and accuracy of hundreds of web scrapers.
  • Optimizing and evaluating our core utils, which do things like extracting and resolving citations.

We are hiring a senior software/data engineer to help build the largest case law dataset. Our data coverage includes US laws and court decisions and powers our lawyer-facing AI platform and B2B data services.

India

  • Design and ship agentic systems and multi-step LLM workflows using Claude, OpenAI, or equivalent - including tool use, memory, structured output extraction, and failure handling.
  • Build and maintain MCP integrations connecting internal tools, portco systems, and external data sources into reliable, observable pipelines.
  • Write production-grade Python for data pipelines, integration scripts, and scheduled jobs running via BullMQ-backed queues on the Node/TypeScript stack.

Emergence is a PE holdco backed by the Pritzker Organization focused on acquiring and scaling B2B SaaS businesses. It combines operational rigor with a growth equity mindset to drive ARR growth and profitability across its portfolio.

$229,000–$240,000/yr
US

  • Lead AI strategy and execution, integrating AI into core products and accelerating development workflows.
  • Architect and build complex, scalable systems and AI-driven features using technologies like Python, Java, AWS, and GCP.
  • Provide technical leadership, mentorship, and cross-functional collaboration to solve complex problems and drive successful outcomes.

Tebra provides an all-in-one EHR+ platform designed exclusively for independent healthcare practices to connect EHR software, billing, automation, telehealth, and marketing. The company serves over 42,000 private practices and fosters a culture of entrepreneurship, customer focus, simplicity, teamwork, and celebration.

US Canada

  • Turn vegetation intelligence into operational impact for utility customers.
  • Own customer projects end-to-end, from data requests and processing through analysis to customer-ready outputs.
  • Build the technical foundations for what we productize next, strengthen the analytics workflows and infrastructure.

Overstory is harnessing cutting-edge technology to enable a resilient electrical grid. Their team spans the Americas and Europe, and they work with utility partners across the Americas and beyond, with 100 employees from all over the world.

$107,000–$168,000/yr
US

  • Translate product vision into production-ready code, working closely with Product Managers to turn business goals into actionable plans.
  • Help drive the transition to a self-service model, ensuring infrastructure remains performant across new global regions as the team and technology scales.
  • Take end-to-end ownership of service health, including participating in design docs and implementing robust monitoring/alerting.

Addepar is a global data and AI platform that empowers investment professionals to turn complex financial information into actionable intelligence. More than 1,400 firms manage and advise on nearly $9 trillion in assets, and we strive to promote a welcoming environment, and inclusion and belonging are held as a shared responsibility.

$150,000–$300,000/yr
US

  • Own camera and multi-sensor calibration across our capture rigs.
  • Build, evaluate, and improve SLAM, VIO, and mapping pipelines.
  • Train and/or fine-tune models for pose estimation and semantic understanding.

Trace is building the data marketplace for physical AI. They are an early stage company helping define how robots learn to work.

US

  • Owns the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems.
  • Partners with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches.
  • Ensures efficient, reliable deployment of ML models in production and mentors the team’s technical capabilities.

Reddit is a community-driven platform where users submit, vote, and comment on topics of interest. With over 100,000 active communities and approximately 126 million daily active unique visitors, it is one of the internet’s largest sources of information.

Global Unlimited PTO

  • Diagnose business problems before building solutions, mapping workflows and confirming AI is the right intervention.
  • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation and iteration.
  • Improve organizational flow by building solutions that reduce bottlenecks and increase throughput, measuring success using flow metrics.

GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. GitLab has more than 50 million registered users and a high-performance culture driven by its values and continuous knowledge exchange.