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VP of Generative AI

Hybrid – San Francisco Bay Area (Must be SF Bay Area resident – No relocation assistance offered)

$200,000-220,000 base salary + bonus + equity

THE COMPANY

This fast-growing start-up is using data science and AI to reshape healthcare delivery and outcomes. They’re looking for a VP of Generative AI who will shape the strategy for integrating generative models into healthcare solutions. In this role, you will be expected to be the key player in growing the AI unit as well as communicate regularly with clients, partners, and other pivotal stakeholders.

REQUIREMENTS

• Advanced degree in Computer Science, AI, Machine Learning, or another related field
• 10+ years of full-time industry experience and 5+ years of experience in a leadership position
• Expertise in AI/ML
• Extensive experience designing and deploying generative models
• Specialization in working with EHR workflows
• Experience developing products for health systems/integrated delivery networks
• Developed products made for physicians and patients
• Previous start-up experience

BENEFITS

As a VP of Generative AI, you can expect a base pay of $200,000-$220,000 + a bonus + equity.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

Compiler Engineer (NPU) – Onsite, San Francisco Bay Area

The Company:

This start-up company is leading the charge in the exciting field of artificial intelligence. With a team of experts in computer science, electrical engineering, and AI research, they’re dedicated to developing innovative solutions to real-world problems.

Their most prominent and innovative product is a series of cutting-edge semiconductor chips that are specifically designed for machine learning and deep learning applications. These chips provide exceptional performance and efficiency and are used across multiple industries.

This company also prides itself in its mission to create a better future by applying AI and other tech to support humanity, with the goal of making it more sustainable and capable.

Responsibilities:

• Design/implement new compiler features for AI and ML applications
• NPU compiling (backend optimization)
• Optimize computation graphs
• DRAM, scratch pad memory management
• Support deep learning training and inference
• Optimize/improve existing compilers for use on AI-specific hardware
• Collaborate with chip designers and software engineers

To apply, you must have experience in the following:

• 10+ years of full-time compiler development experience
• 4+ years of experience with neural networks and NPU development
• Neural network training, inference, strong understanding utilization
• Understanding of computer architecture and optimization
• Understanding of AI-specific hardware, ex: semiconductor chips
• M.A. or Ph.D. in Computer Science or Computer Engineering

The Benefits:

As an NPU Compiler Engineer, you can expect a salary of $150,000-200,000 (based on experience) plus other competitive benefits

HOW TO APPLY:

Please register your interest by sending your CV to Mikayla Memoracion via the Apply link on this page.

The Company:

This start-up company is leading the charge in the exciting field of artificial intelligence. With a team of experts in computer science, electrical engineering, and AI research, they’re dedicated to developing innovative solutions to real-world problems.

Their most prominent and innovative product is a series of cutting-edge semiconductor chips that are specifically designed for machine learning and deep learning applications. These chips provide exceptional performance and efficiency and are used across multiple industries.

This company also prides itself in its mission to create a better future by applying AI and other tech to support humanity, with the goal of making it more sustainable and capable.

Responsibilities:

• Design/implement new compiler features for AI and ML applications
• NPU compiling (backend optimization)
• Optimize computation graphs
• DRAM, scratch pad memory management
• Support deep learning training and inference
• Optimize/improve existing compilers for use on AI-specific hardware
• Collaborate with chip designers and software engineers

To apply, you must have experience in the following:

• 10+ years of full-time compiler development experience
• 4+ years of experience with neural networks and NPU development
• Neural network training, inference, strong understanding utilization
• Understanding of computer architecture and optimization
• Understanding of AI-specific hardware, ex: semiconductor chips
• M.A. or Ph.D. in Computer Science or Computer Engineering

The Benefits:

As an NPU Compiler Engineer, you can expect a salary of $150,000-200,000 (based on experience) plus other competitive benefits

HOW TO APPLY:

Please register your interest by sending your CV to Mikayla Memoracion via the Apply link on this page.

Job Posting: VP of ML Engineering – Healthcare Startup

Location: Boston, Massachusetts (Hybrid ONLY, No sponsorship, No relocation)

Compensation: 220,000 – 240,000 Base + Bonus + Equity + Benefits

About Them:

The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.

Position Overview:

We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.

Key Responsibilities:

1. Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
2. Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
3. Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
4. Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
5. Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
6. Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.

Basic Qualifications:

1. Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
2. Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
3. Proven expertise in designing and deploying generative models (MUST HAVE)
4. Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
5. Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
6. Hands-on experience with integrated delivery networks (MUST HAVE)
7. A track record of developing products tailor-made for physicians and patients (MUST HAVE)

Preferred Qualifications:

1. Aptitude to articulate complex AI narratives to varied audiences.
2. Proficiency across diverse AI platforms and methodologies.
3. Recognized contributions or research publications in pertinent AI fields.

Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.

What We Offer:

1. A lucrative compensation structure, complemented by stock options.
2. Comprehensive health coverage.
3. A platform to pilot AI-centric revolutions in healthcare.
4. A work culture defined by inclusiveness, collaboration, and lifelong learning.
5. Opportunities for professional ascent and skill enhancement.

220,000 – 240,000 Base + Bonus + Equity + Benefits

Job Posting: VP of ML Engineering – Healthcare Startup

Location: Palo Alto, CA (Hybrid ONLY, No sponsorship, No relocation)

Compensation: 220,000 – 240,000 Base + Bonus + Equity + Benefits

About Them:

The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.

Position Overview:

We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.

Key Responsibilities:

1. Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
2. Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
3. Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
4. Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
5. Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
6. Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.

Basic Qualifications:

1. Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
2. Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
3. Proven expertise in designing and deploying generative models (MUST HAVE)
4. Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
5. Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
6. Hands-on experience with integrated delivery networks (MUST HAVE)
7. A track record of developing products tailor-made for physicians and patients (MUST HAVE)

Preferred Qualifications:

1. Aptitude to articulate complex AI narratives to varied audiences.
2. Proficiency across diverse AI platforms and methodologies.
3. Recognized contributions or research publications in pertinent AI fields.

Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.

What We Offer:

1. A lucrative compensation structure, complemented by stock options.
2. Comprehensive health coverage.
3. A platform to pilot AI-centric revolutions in healthcare.
4. A work culture defined by inclusiveness, collaboration, and lifelong learning.
5. Opportunities for professional ascent and skill enhancement.

220,000 – 240,000 Base + Bonus + Equity + Benefits

Job Posting: VP of Generative AI – Healthcare Startup

Location: Palo Alto, CA (Hybrid ONLY, No sponsorship, No relocation)

Compensation: 210,000 Base (minimum) + Bonus + Equity + Benefits

About Them:

The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.

Position Overview:

We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.

Key Responsibilities:

1. Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
2. Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
3. Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
4. Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
5. Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
6. Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.

Basic Qualifications:

1. Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
2. Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
3. Proven expertise in designing and deploying generative models (MUST HAVE)
4. Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
5. Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
6. Hands-on experience with integrated delivery networks (MUST HAVE)
7. A track record of developing products tailor-made for physicians and patients (MUST HAVE)

Preferred Qualifications:

1. Aptitude to articulate complex AI narratives to varied audiences.
2. Proficiency across diverse AI platforms and methodologies.
3. Recognized contributions or research publications in pertinent AI fields.

Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.

What We Offer:

1. A lucrative compensation structure, complemented by stock options.
2. Comprehensive health coverage.
3. A platform to pilot AI-centric revolutions in healthcare.
4. A work culture defined by inclusiveness, collaboration, and lifelong learning.
5. Opportunities for professional ascent and skill enhancement.

210,000 base (minimum) + bonus + equity + benefits

Senior Computer Vision Data Engineer

200,000 – 225,000 base + equity + benefits

5 days a week IN OFFICE – Santa Monica, CA (can offer relocation)

The company:

An energetic, growing startup operating at the intersection of AI and filmmaking.

The work in automated visual translation is just the beginning, we’re developing countless exciting products based on the application of our proprietary, cornerstone research.

Minimum Requirements:

• Bachelor’s degree in computer science, machine learning, computer vision, or a related field
• 4+ years of experience preparing large datasets for deep learning and neural network models
• 4+ years of experience writing and testing modularized, production-level Python code
• Experience with deep learning frameworks such as PyTorch, Tensorflow, Keras, or MXNET
• Experience building scalable ML pipelines for image and video modalities with tools such as Flyte, Prefect, AirFlow, or Kubeflow
• MS or PhD in computer science, machine learning, computer vision, or a related field
• Experience with CI / CD automation using tools such as GitHub Actions or GitLab
• Experience with various cloud data storage technologies on AWS, GCP, or Azure
• Experience writing production-grade C++
• Experience with audio, text, or 3D data modalities

200,000 – 225,000 base + RSUs + Benefits + Relocation Assistance

Staff AI Platform Engineer – 9+ years required

210,000 – 245,000 base + bonus + equity + benefits

Remote – West Coast Candidates Only

The Company:

An Industrial AI company that is innovating in the semiconductor manufacturing space! Their problems are very technically challenging problems; it’s not a simple case of downloading some ML package and applying it, but they need novel solutions are needed, and patents are being applied for. Their models will not be deployed in isolation. We’re talking about AI systems here, with 1000’s of models deployed interacting with each other (potentially in each FAB). They have a very highly talented and accomplished team. ~70% of the team has PhD’s. Very deep experience and expertise in AI and ML with internationally recognized experts both in academia and industry. They solve meaningful AI/ML problems that really moves the needle.

The Role & Responsibilites:

• Architect a full ML Platform and build out the infrastructure to support scalability
• Experience with the full end to end AI lifecycle
• Build capabilities and tools for distributed optimization
• Enable all the right ML paradigms for the deep learning frameworks such as Tensorflow and PyTorch
• Model training and tuning and optimization
• Standardized model deployment and mechanics
• CI/CD pipelines for model performance
• 80% hands on work to start and will dial back as more people are hired
• Interaction with stakeholders, and product managers – must need great communication skills
• Targeting 9+ years as an architect
• Experience with Airflow, MLFlow, or KubeFlow

The Benefits:

210,000 – 245,000 base + bonus + equity + benefits

Senior AI Engineer – MLOps / 6+ years required

190,000 – 210,000 base + bonus + equity + benefits

Remote – West Coast Candidates Only

The Company:

An Industrial AI company that is innovating in the semiconductor manufacturing space! Their problems are very technically challenging problems; it’s not a simple case of downloading some ML package and applying it, but they need novel solutions are needed, and patents are being applied for. Their models will not be deployed in isolation. We’re talking about AI systems here, with 1000’s of models deployed interacting with each other (potentially in each FAB). They have a very highly talented and accomplished team. ~70% of the team has PhD’s. Very deep experience and expertise in AI and ML with internationally recognized experts both in academia and industry. They solve meaningful AI/ML problems that really moves the needle.

The Role & Responsibilites:

• Architect a full ML Platform and build out the infrastructure to support scalability
• Experience with the full end to end AI lifecycle
• Build capabilities and tools for distributed optimization
• Enable all the right ML paradigms for the deep learning frameworks such as Tensorflow and PyTorch
• Model training and tuning and optimization
• Standardized model deployment and mechanics
• CI/CD pipelines for model performance
• 80% hands on work to start and will dial back as more people are hired
• Interaction with stakeholders, and product managers – must need great communication skills
• Targeting 6+ years as an architect
• Experience with Airflow, MLFlow, or KubeFlow

The Benefits:

190,000 – 210,000 base + bonus + equity + benefits

THE COMPANY

• COMPANY: An exciting start-up currently reshaping the AI/Semiconductor market
• TEAM: This position offers the opportunity to join a strong team of 5 machine learning engineers and 3 MLOps engineers
• CULTURE: Casual work environment along with a diverse and inclusive culture; flexible working hours and a work-from-home policy

THE ROLE

As a Staff MLOps Engineer, you will,

• Build a scalable and extensive ML inference platform that can support multiple forms of data and support the scalability of models
• Build feature stores and auto ML capabilities
• Provide mentorship to more junior members of the team
• Work with data scientists and product engineers to containerize models into a standardized form
• Build tools to help monitor model performance

YOUR SKILLS AND EXPERIENCE

• 7+ years of full-time industry experience focused in the ML space
• A degree in computer science or a related field is highly preferred
• Experience in building machine learning / AI systems
• Experience working with time series data or computer vision models is a plus
• Tools: Python, PyTorch, Spark, Docker, Kubernetes

THE BENEFITS

For this role, you can expect a base salary between $200,000 to $230,000 (based on experience) plus competitive benefits.

MLOPS ENGINEER

Up to £70,000

Remote

Are you ready to play a crucial role in shaping the future of cutting-edge Machine Learning operations?

The Company:

Harnham is working with an exciting Energy organisation who is provides engineering, consulting, and project delivery services to the energy, chemicals, and resources sectors.

The Role:

As an MLOps Engineer, you will be responsible for:

• Collaborating with Data Scientists to streamline the deployment of Machine Learning models to production.
• Designing and implementing robust and scalable MLOps pipelines to automate model training, testing, and deployment processes.
• Working with Python and other relevant tools to build and optimize the infrastructure for efficient model operations.
• Monitoring and troubleshooting production ML systems to ensure reliability and performance.
• Identifying and integrating new technologies to enhance the efficiency of MLOps processes.
• Communicating with cross-functional teams to understand their requirements and providing solutions for their ML operational needs.

Your Skills and Experience:

• BSc/MSc/PhD degree in Computer Science, Data Science, or a related field.
• Proven experience in developing and maintaining MLOps pipelines in a commercial environment.
• Strong proficiency in Python, as well as experience with relevant frameworks and libraries such as TensorFlow, Keras, and scikit-learn.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience in KubeFlow and/or MLFlow
• Knowledge of cloud platforms such as AWS, Azure, or GCP, and experience in deploying ML models on these platforms.
• Excellent problem-solving skills and a keen eye for detail in optimizing MLOps workflows.
• Ability to effectively communicate technical concepts to non-technical stakeholders.

Benefits:

• Competitive salary range of £50,000 – £70,000.
• Opportunities for professional growth and career advancement.
• Flexible working arrangements to maintain a healthy work-life balance.
• Be a part of a collaborative and innovative team, contributing to the forefront of the Machine Learning domain.

How to Apply:

If you are eager to take on new challenges and drive innovation in the field of MLOps, we would love to hear from you. Please submit your CV to Luc Simpson-Kent via the Apply link on this page.