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VP Engineering

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Revolutionize the Future with Farpoint: VP Engineering Opportunity

Farpoint, a trailblazing AI transformation consulting firm, is at the forefront of empowering top-tier organizations to shape the future with AI. Our focus lies in assisting large public, private, and government entities in building the next generation of AI-assisted workforces. Specializing in LLMs, Diffusion models, multimodal models, and executing special projects, we are seeking a dynamic VP of Engineering to lead our AI innovation initiatives.

Our Vision: At Farpoint, we are driven by a culture of hard work, adaptability, and delivering tangible results. Thriving in our fast-paced startup environment requires creativity, self-motivation, and a passion for machine learning. We value an extensive understanding of deep learning techniques, fostering continuous learning and professional growth.

Responsibilities: As a key leader in our organization, you will play a pivotal role in developing cutting-edge AI solutions that enable our clients to optimize workflows and harness the power of artificial intelligence. Responsibilities include:

  • Designing, developing, and optimizing the infrastructure and capabilities of our automated enterprise machine learning platform.
  • Applying theoretical concepts in machine learning, mathematics, computer science, and engineering to develop AI solutions.
  • Implementing learning algorithms for domain-specific problems and integrating them into machine learning models.
  • Selecting relevant features for predictions through data processing and statistical computing methods.
  • Training machine learning models using novel optimization techniques, transfer learning, and hyper-parameter optimization.
  • Evaluating and explaining experimental results using appropriate metrics and collaboration tools.
  • Enhancing and inventing efficient, secure data pipelines for AI foundational systems.
  • Managing DevOps, scaling out, and overseeing software infrastructure design.
  • Utilizing expertise in Kubernetes, Docker, front-end, and back-end development.
  • Leading and managing a cross-functional team composed of front-end developers, back-end developers, DevOps engineers, designers, and ML engineers.
  • Collaborating to design, develop, integrate, and deploy fully scalable applications for enterprises.

Additional Responsibilities:

  • Selecting relevant features for predictions through data processing and statistical computing methods.
  • Training machine learning models using novel optimization techniques, transfer learning, and hyper-parameter optimization.
  • Evaluating and explaining experimental results using appropriate metrics and collaboration tools.
  • Enhancing and inventing efficient, secure data pipelines for AI foundational systems.

What We Value:

  • Team members who dig into the details of the data and aren't satisfied with surface-level answers.
  • No ego; the outcome matters more than who gets the credit.
  • Extraordinary ability to confront open-ended problems in unstructured environments.
  • Adaptive and introspective individuals willing to learn, guide, lead, and follow.

Requirements:

  • Masters in Engineering or Computer Science, or 4+ years of experience in developing and deploying commercially relevant deep learning models.
  • Experience with programming, scripting, or statistical packages (Python, PyTorch, Tensorflow, and CUDA).
  • Strong understanding of deep learning mathematics, including Calculus, Linear Algebra, Probability Theory, Statistics, and Optimization.
  • Familiarity with machine learning building blocks such as Transformers, Multi-headed attention, Convolutional Neural Networks, Diffusion models, Graph Neural Networks, and other Time Series modalities.
  • Experience training models across multiple GPUs and nodes leveraging data and model parallelism modalities.
  • Familiarity with managing DevOps, scaling out, software infrastructure design, Kubernetes, Docker, front-end, and back-end development.
  • Proven experience in leading and managing cross-functional teams.

Compensation: Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives.

Life at Farpoint: Our work is unconventional, focusing on creativity, collaboration, and human-centered innovation. We prioritize hiring individuals with insatiable curiosity, irrepressible optimism, deep empathy, and the ability to collaborate effectively. We value end-to-end thinkers who build strategies and execute plans to completion.

Application Process: If you're ready to revolutionize the future with us, email jobs@farpointhq.com with the desired job position in the subject line. We encourage candidates to showcase their capabilities and passion creatively. At Farpoint, we believe in asking for forgiveness, not permission, even in the job application process.

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