Deep Learning Engineer

As a Deep Learning Engineer at our client, you will make key contributions towards building foundational AI capabilities that will enable solving complex problems for their Customers. In this role, you will build, train, evaluate and deploy state of the art ML models in production at scale. You will report into the Director of AI within the Perception Org and work closely with other engineering as well as product teams to deliver value to clients customers. We are looking for someone who has familiarity with or growing expertise in at least one of the verticals below - depth in a specific area is valued but not required on day one.

1. 3D vision models to predict depth and 3D structure,
2. Video/temporal behavior models to predict intent,
3. Deep understanding of Vision language models and hands-on experience fine tuning them,
4. Deep understanding of foundation models in perception.
5. Deep knowledge of Nvidia edge device stack for running ML models and cuda know-how in terms delivering highly optimized models

This position is based in San Francisco and follows a hybrid schedule with at least 3 days in-office per week., Below are your primary responsibilities. These represent the core areas where you’ll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.

• Come up with solutions to complex problems in perception using deep learning.
• Articulate ideas both verbally and in written form culminating in clear design and project plan docs for their work
• Contribute to team roadmap and planning
• Work with cross functional teams across the company and contribute towards delivery of end to end solutions for the customer

The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission.

• Experience: 1-2 years experience building and deploying machine learning models for perception in production settings.
• Core Skills: Solid hands-on experience designing, training, and evaluating machine learning models for perception. Demonstrated ability to independently build ML pipelines and deploy models to cloud environments (AWS, GCP, or Azure); familiarity with MLOps practices including experiment tracking, model versioning, and automated workflows. Hands-on experience in PyTorch, Python, and related skills.
• Personal Attributes:Good communicator, self starter and ability to collaborate with others, quick learner who can adapt to a fast paced startup culture
• Education: Bachelors or Masters in Computer Science or related field
• Nice to Have: Experience working in perception problems in self driving car companies that aligns closely with the work of this team.

Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Deep Learning Engineer to join our Client’s team., Blackstone Talent Group is a wholly owned subsidiary of Blackstone Technology Group, a global IT services and software firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone’s global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.