Source Job

US

  • Lead applied ML initiatives for identity verification, focusing on computer vision models like face liveness detection and anti-spoofing.
  • Build, train, and optimize deep learning models and pipelines on AWS with strong reproducibility and monitoring.
  • Collaborate across teams to ensure ML solutions meet privacy, compliance, and reliability requirements.

Python PyTorch TensorFlow Computer Vision AWS

10 jobs similar to Sr. Machine Learning Engineer

Jobs ranked by similarity.

$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.

Spain Global

  • Own end-to-end responsibility for building identity verification machine learning models from prototyping to production.
  • Establish key metrics, derive data-driven insights, and conduct experiments to assess product impact.
  • Collaborate with Product Managers, Data Scientists, and Engineers to develop state-of-the-art document detection and fraud detection algorithms.

Veriff provides AI-powered identity verification using image recognition, document detection, and fraud detection. With a diverse team in the US, UK, Spain, and Estonia and backing from investors like Accel and Y Combinator, they are dedicated to building a safer online world.

Canada

  • Design and operate core AI platform components for training, deploying, and serving ML models at scale.
  • Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
  • Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.

Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.

$124,800–$156,000/yr
US

  • Design, implement, and evaluate deep learning models across biomedical data modalities.
  • Develop multimodal AI architectures that integrate imaging, molecular, and clinical data sources.
  • Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS).

Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other.

Global 4w PTO

  • Take ownership of the ML API serving NBA recommendations and harden it for low-latency production traffic.
  • Ship your first agent tool contract end-to-end: schema design, handler implementation, and unit tests.
  • Set up the eval foundation for agents with golden transcripts, rubric-based judges, and regression suites.

Clutch is a vertical SaaS company backed by Andreessen Horowitz that helps credit unions become fintech lenders, providing affordable lending solutions to over 130 million Americans. The team is small, ambitious, and shipping fast with a culture that values pragmatism and real autonomy.

India

  • Build and ship specialized agents including parsers, extractors, and synthesizers for the Aedeon agent-native modernization platform.
  • Own the full delivery of assigned agents from prototype through deployment and post-release validation, practicing test-driven development.
  • Write clear Python, document agent contracts and decision logic, and promote a culture of release discipline and quality across the team.

Mactores is a trusted leader in providing modern data platform solutions, enabling businesses to accelerate value through automation with end-to-end data solutions that are automated, agile, and secure. Since 2008, they have collaborated with customers to strategize and navigate digital transformation via assessments, migration, or modernization, fostering a culture driven by 10 core leadership principles.

$90,000–$150,000/yr
US

  • Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
  • Define architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
  • Own evals and observability for production AI and manage cost and latency at production volume.

Maxwell is a mortgage technology and fulfillment company with a mission to make lending simpler, faster, and more accessible. They power hundreds of lending institutions with their mortgage Point of Sale and related capabilities and are a remote-first team that takes craft seriously.

Global

  • Lead data architecture, pipeline development, and data integrations on a generative AI platform to automate enterprise workflows.
  • Design and implement multi-zone enterprise data lakes on AWS S3 with batch and streaming ingestion pipelines.
  • Develop and deploy ML models on AWS SageMaker for use cases like lead scoring and predictive maintenance.

Capnexus is a comprehensive services provider specializing in designing, building, and supporting retail software. The company follows a build-as-a-service model with a culture built on outcomes and delivery, employing outstanding professionals across various platforms and verticals.

AI Engineer

LMI
$111,426–$192,890/yr
US

  • Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
  • Build and maintain integrations between the matching engine and an existing program management platform.
  • Collaborate with SMEs to build, test, and refine user-configurable matching logic.

LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.

Canada

  • Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
  • Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
  • Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.

Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.