The Machine Learning Engineer will develop and deploy computer vision algorithms, benchmark modules, and work with data. A strong background in deep learning and robotics is essential.
ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.
Role responsibilities include:
- Working on the intersection of sensing and perception algorithms.
- Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition.
- Benchmarking and maintaining developed modules.
- Work independently to deliver high-quality code in a timely fashion.
- Collaborate with team for testing, evaluation and review of code.
Required Qualifications
- Degree in Computer Science, Electrical Engineering, Robotics or related field.
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe.
- Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data.
- Strong Python and/or C++ skills.
- Passionate about self-driving vehicles and real-world robotic solutions.
- Strong presentation and communication skills.
Preferred
- Publication record in top-tier computer vision or machine learning conferences.
- 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios.
- Robotics/autonomous experience is a plus.
Top Skills
C++
Caffe
Deep Learning
Machine Learning
Python
PyTorch
TensorFlow
ISEE Cambridge, Massachusetts, USA Office
501 Massachusetts Ave, Cambridge, MA, United States
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Staff Machine Learning Engineer will build and enhance AI platforms, develop large language models, and collaborate with teams on AI solutions for enterprise customers.
Top Skills:
AIAi Productivity ToolsDeep LearningLlmMlPython
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves designing and implementing infrastructure for AI workloads, improving Site Reliability Engineering practices, and mentoring team members.
Top Skills:
AnsibleDockerGitlab CiGoHelmJ2EeJavaKubernetesLinuxPrometheusPythonSplunk
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Staff ML Engineer will develop Voice AI solutions for Toast's platforms, collaborate with teams to optimize models, and mentor junior engineers.
Top Skills:
AirflowAWSHugging Face TransformersJavaKoruru TtsKotlinOpenai Realtime ApiPythonPyTorchSQLTensorFlowWhisper
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
