Top Bay Area Ca Jobs

Who Are We

Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost employers over $500 billion annually.

Voxel is seeking a highly experienced and visionary VP Engineering to join their dynamic team. Reporting directly to the CTO, this role will be instrumental in building and leading the engineering structure at Voxel. The VP Engineering will play a pivotal role in the growth and success of the organization by providing strategic direction, driving innovation, and fostering a collaborative and high-performance engineering culture. The ideal candidate should have a strong background in managing large teams, experience in the AI and machine learning industry, and a proven track record of building and scaling engineering organizations.

Responsibilites

• Establish and lead the engineering structure at Voxel, ensuring efficient and effective operations across the organization.
• Provide strategic leadership and technical expertise to drive innovation and ensure alignment with the company's goals and vision.
• Collaborate with the CTO and other key stakeholders to define and execute the engineering roadmap.
• Lead, mentor, and develop a diverse team of engineers, fostering a culture of excellence, collaboration, and continuous learning.
• Oversee and manage teams, ensuring the successful development and delivery of models and products.
• Drive the implementation of best practices and processes, ensuring a structured and scalable approach to engineering operations.
• Build and maintain strong cross-functional relationships with product, infrastructure, and other teams to deliver integrated solutions.
• Champion a positive and inclusive work environment, promoting cultural values that align with Voxel's mission.

• Previous experience in a Director-level or VP Engineering role with demonstrated success in managing large engineering teams.
• Strong track record of building and scaling engineering organizations, ideally within a startup or similar fast-paced environment.
• Excellent leadership, communication, and collaboration skills with a focus on building high-performance and inclusive engineering teams.
• A technical background with the ability to lead and guide teams in technical decision-making without requiring hands-on involvement.
• Experience working in an agile environment, driving innovation, and delivering complex projects on time and within budget.
• In-depth knowledge of ML model development and product deployment.
• Strong understanding of engineering best practices, systems architecture, and cloud technologies.
• Demonstrated success in leading teams with an emphasis on management and cultural skills.

Benefits

Daily lunch provided for in-office employees.

Company events, including an annual onsite gathering for the entire team, team-specific events throughout the year, and regular small office events such as happy hours, ultimate frisbee games, and escape rooms.

Health, dental, and vision coverage.

Unlimited paid-time off.

Flexible working arrangements.

401K retirement plan.

HSA (Health Savings Account) option.

Commuter Card for pre-tax funds.

Join Voxel and take a leading role in shaping the future of workplace safety through advanced AI and ML technologies. If you have a passion for building and scaling engineering organizations, driving innovation, and leading high-impact teams, we would love to hear from you.

Who Are We

Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost employers over $500 billion annually.

Voxel is seeking a dynamic and experienced Technical Program Manager (TPM) to join their cross-functional team. The TPM will play a crucial role in coordinating and managing various technical programs and projects across the organization. This includes collaborating with all teams, understanding technical requirements, and ensuring successful project execution. The ideal candidate will have a strong technical background, excellent process management skills, and the ability to lead by influence. The role offers an opportunity to work with cutting-edge technologies such as artificial intelligence, applied computer vision, and distributed systems.

Responsibilities

• Collaborate with cross-functional teams to define technical program requirements, objectives, and success criteria.
• Manage technical programs and projects, including planning, execution, and delivery, to ensure all pieces are aligned for successful outcomes.
• Work closely with software engineers and other technical stakeholders to understand project complexities and challenges.
• Provide technical insights and expertise during program planning and execution to drive efficiency and effectiveness.
• Lead by influence and build strong working relationships with team members to promote collaboration and open communication.
• Oversee project timelines, budgets, and resource allocation to ensure projects are delivered on time and within scope.
• Proactively identify and resolve potential roadblocks or issues that may impact project delivery or team performance.
• Act as a liaison between technical teams, product managers, and other stakeholders to facilitate seamless project coordination.
• Identify opportunities for process improvements and work towards enhancing program management practices at Voxel.
• Explore opportunities to grow into a product management role based on performance and skill development.

• Bachelor's degree in a technical field or equivalent practical experience.
• Minimum 5+ years of experience as a Technical Program Manager or Project Manager in a fast-paced technology-focused organization.
• Strong technical background and previous exposure to distributed systems and cloud-based technologies.
• Proven track record of successfully managing complex technical programs and projects from conception to completion.
• Excellent process management skills with the ability to lead and influence teams without direct authority.
• Exceptional communication and interpersonal skills, with a collaborative and inclusive approach to problem-solving.
• Ability to thrive in a fast-paced, dynamic startup environment while maintaining a strong focus on delivering results.

Benefits

Daily lunch provided for in-office employees.

Company events, including an annual onsite gathering for the entire team, team-specific events throughout the year, and regular small office events such as happy hours, ultimate frisbee games, and escape rooms.

Health, dental, and vision coverage.

Unlimited paid-time off.

Flexible working arrangements.

401K retirement plan.

HSA (Health Savings Account) option.

Commuter Card for pre-tax funds.

Join Voxel and be part of a dynamic team that leverages AI, computer vision, and distributed systems to transform workplace safety. If you have a passion for managing technical programs, driving innovation, and collaborating with cross-functional teams, we would love to hear from you.

Who Are We

Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost employers over $500 billion annually.

Voxel is hiring an Executive Assistant!  You will provide comprehensive administrative support and ensure smooth operation in a dynamic and growing startup environment. This role requires excellent organizational skills, attention to detail, and the ability to multitask effectively in a fast-paced environment.

Responsibilities

• Manage calendars, schedule appointments, and coordinate meetings for the executive team
• Handle and prioritize incoming communication (emails, phone calls, mail, etc.)
• Maintain confidential files and records, ensuring compliance with data protection regulations.
• Collaborate with other departments to facilitate efficient workflow and effective communication.
• Enhance customer setup and provide proactive follow-up on outstanding invoices
• Manage bill payments on a consistent weekly basis
• Facilitate seamless onboarding for new employees by efficiently coordinating their first-day logistics
• Support HR operations by assisting with paperwork filing and accurate data entry
• Oversee the day-to-day operations of the office, ensuring a clean, organized, and efficient workspace.
• Make travel arrangements for executives, including flights, accommodations, and ground transportation.
• Prepare itineraries, agendas, and necessary documentation for business trips.
• Assist in planning and organizing company events, meetings, and conferences.
• Coordinate logistics, including venue selection, catering, audio-visual equipment, and guest accommodations.
• Coordinate office maintenance and repairs, liaising with vendors and service providers as needed.
• Manage office supplies, snacks, inventory, and equipment, ensuring timely replenishment and maintenance.
• Manage daily lunch orders for those in the office 
• Implement and maintain office policies and procedures, streamlining administrative processes as appropriate.

• Bachelor's Degree
• Previous experience as an Executive Assistant is preferred.
• Excellent organizational and time management skills, with the ability to prioritize tasks and meet deadlines.
• Strong written and verbal communication skills, with exceptional attention to detail.
• Proficient in using office productivity software (e.g., Microsoft Office, Google Suite).
• Ability to maintain confidentiality and handle sensitive information with discretion.
• Strong problem-solving skills and the ability to adapt to changing priorities.
• Professional demeanor, with the ability to interact effectively with all levels of staff and external stakeholders.
• Flexibility to work in a hybrid office environment, spending 3-4 days per week in the San Francisco office.

The anticipated base salary range for this position is $80,000 - $100,000. Base salary ranges may vary by geographic location, experience, and qualifications.

Our mission at Curai is to make high-quality healthcare accessible to all. We are fulfilling this audacious mission by building a scalable virtual-first primary care service that provides patients with high-quality care anytime, anywhere, from any device, at a very affordable price, by blending high-touch clinical care and  artificial intelligence. 

Our company is remote-first and we consider candidates across the United States.

Machine Learning Engineering at Curai

We are looking for a Senior ML Engineer to join the machine learning team at Curai. Our team is responsible for Curai’s ML/automation technology and drives the strategy:  ML as part of the physician care team will drastically reduce the cost and increase the efficiency of providers. Your work will have a tremendous direct impact on both provider and patient-facing ML-augmented applications,  thereby providing low-friction, high-quality care to patients of Curai Health.

We are primarily a text-based service and NLP is at the core of our ML work.  With recent advances in large language models, we are seeing a tremendous acceleration in capabilities. A non-trivial part of our work involves appropriately leveraging and building on top of these models thoughtfully (and with scaffolding) to our use cases and backing them up with a sound automated evaluation. In addition, we use the in-house deidentified data as robust feedback data for continuously improving the ML models. 

We are excellent collaborators, within our team and across teams with product owners,  engineers, and clinicians to deliver automated products for doctors and patients. A successful candidate will own and help engineer end-to-end, AI/ML-powered automated systems in service of better health outcomes at lower costs.

Who You Are

None of these individually are hard requirements, but they do describe the type of folks that we think would be most effective and happy at Curai. You...

• Are a self-starter and have a growth mindset

• Enjoy tackling complex problems in a scientific and data-driven way

• Thrive in ambiguity and love tackling complex problems that span multiple systems

• Enjoy thinking through trade-offs with mindfulness of near-term needs and Curai’s long-term strategy

• Are collaborative and appreciate working with people with diverse expertise

What You'll Do

• Design, build, deploy, and improve machine learning models, including those that are based on large language models.   These models are used in our patient and physician-facing product features and developed in collaboration with our clinical innovation, research, engineering, and design teams.

• Design offline and online evaluations to test ML product features, and perform data-driven analysis of the results to find actionable insights.

• Provide input and collaborate closely with the ML Infrastructure team towards the development of technical platforms that power ML systems at Curai, and its ML engineering infrastructure and operations.

• Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation.

• Mentor ML interns and junior team members.

• Interview diverse talent to build and grow a strong ML engineering team.

What You'll Need 

We recognize not everyone will have all of these requirements. If you meet most of the criteria below and you’re excited about the opportunity and willing to learn, we’d love to hear from you. You should have:

• “End-to-end” experience building ML production systems: Along with strong ML fundamentals, you will need expertise in the entire lifecycle of machine learning production systems, such as data processing, modeling, deployment, monitoring, maintenance, and improving the models over time using feedback loops.

• Experience in natural language processing applications.

• "Product sense" or intuition on what to build: You will need to be able to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions. 

• Experience and/or interest in mentoring junior engineers.

• Strong communication skills: This role involves collaboration with product, engineering, clinical, and research teams. Understanding the mental models of the audience and communicating ideas crisply to this diverse set of stakeholders will be a vital part of the role. You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes.

• 5+ years of industry  experience in ML/NLP including building production systems.

The annual base salary range for this position is between $200,000 - $240,000. Stock grants also play a key part in any offer, they increase your overall compensation package significantly based on company success. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.

What We Offer

Culture: Mission driven talent with great colleagues committed to embodying our values, collaborating closely, and driving performance

Wellness: Unlimited PTO, flexible working hours, and remote working options

Benefits: Excellent medical, dental, vision, flex spending plans, and paid parental leave

Financial: 401k plan with employer matching

Curai Health is a startup with a small, but world-class team from high tech companies, AI researchers, practicing physicians, to team members from non-traditional career paths and backgrounds. We also have research partnerships with leading universities across the country and access to medical data that facilitates research in this space. We are a highly collaborative, data-driven team, focused on delivering our mission with funding from top-tier Silicon Valley investors including Morningside, General Catalyst, and Khosla Ventures.

At Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position. We are looking for teammates that are mission-driven, embody our core values, and appreciate our transparent approach.

Our mission at Curai is to make high-quality healthcare accessible to all. We are fulfilling this audacious mission by building a scalable virtual-first primary care service that provides patients with high-quality care anytime, anywhere, from any device, at a very affordable price, by blending high-touch clinical care and  artificial intelligence. 

Our company is remote-first and we consider candidates across the United States.

Machine Learning at Curai

We are looking for a Senior ML Engineer to join the machine learning team at Curai. Our team is responsible for Curai’s ML/automation technology and drives the strategy:  ML as part of the physician care team will drastically reduce the cost and increase the efficiency of providers. Your work will have a tremendous direct impact on both provider and patient-facing ML-augmented applications,  thereby providing low-friction, high-quality care to patients of Curai Health.

We are primarily a text-based service and NLP is at the core of our ML work.  With recent advances in large language models, we are seeing a tremendous acceleration in capabilities. A non-trivial part of our work involves appropriately leveraging and building on top of these models thoughtfully (and with scaffolding) to our use cases and backing them up with a sound automated evaluation. In addition, we use the in-house deidentified data as robust feedback data for continuously improving the ML models. 

We are excellent collaborators, within our team and across teams with product owners,  engineers, and clinicians to deliver automated products for doctors and patients. A successful candidate will own and help engineer end-to-end, AI/ML-powered automated systems in service of better health outcomes at lower costs.

Who You Are

None of these individually are hard requirements, but they do describe the type of folks that we think would be most effective and happy at Curai. You…

•Are a self-starter and have a growth mindset.

•Have an ownership mentality.

•Enjoy tackling complex problems in a scientific and data-driven way.

•Thrive in ambiguity and love tackling complex problems that span multiple systems.

•Enjoy thinking through trade-offs with mindfulness of near-term needs and Curai’s long-term strategy.

•Are collaborative and appreciate working with people with diverse expertise.

What You’ll Do

•Design, build, deploy, and improve machine learning models, including those that are based on large language models.   These models are used in our patient and physician-facing product features and developed in collaboration with our clinical innovation, research, engineering, and design teams.

•Design offline and online evaluations to test ML product features, and perform data-driven analysis of the results to find actionable insights.

Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation.

•Participate in interviewing diverse talent to build and grow a strong ML engineering team.

What You’ll Need

•“End-to-end” experience building ML production systems: Along with strong ML fundamentals, you will need exposure to the entire lifecycle of machine learning production systems, such as data processing, modeling, deployment, monitoring, maintenance, and improving the models over time using feedback loops.

•Experience in natural language processing applications

•"Product sense" or intuition on what to build: With guidance, you will need to be able to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions. 

•Strong communication skills: This role involves collaboration with product, engineering, clinical, and research teams. Understanding the mental models of the audience and communicating ideas crisply to this diverse set of stakeholders will be a vital part of the role. You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes.

•2+ years of industry experience in ML/NLP including building production systems.

The annual base salary range for this position is between $150,000 - $200,000. Stock grants also play a key part in any offer, they increase your overall compensation package significantly based on company success. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.

What We Offer

Culture: Mission driven talent with great colleagues committed to embodying our values, collaborating closely, and driving performance

Wellness: Unlimited PTO, flexible working hours, and remote working options

Benefits: Excellent medical, dental, vision, flex spending plans, and paid parental leave

Financial: 401k plan with employer matching

Curai Health is a startup with a small, but world-class team from high tech companies, AI researchers, practicing physicians, to team members from non-traditional career paths and backgrounds. We also have research partnerships with leading universities across the country and access to medical data that facilitates research in this space. We are a highly collaborative, data-driven team, focused on delivering our mission with funding from top-tier Silicon Valley investors including Morningside, General Catalyst, and Khosla Ventures.

At Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position. We are looking for teammates that are mission-driven, embody our core values, and appreciate our transparent approach.

Who Are We

Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost employers over $500 billion annually.

The Opportunity

We are looking for a dedicated Machine Learning Engineer, Customer Success to join our team. In this role, you will be responsible for all post-sales activities, including product deployment, customer success support, and ML operations. You will act as a vital liaison between our internal teams and external stakeholders, providing technical expertise, facilitating product adoption, and assisting in achieving safety and operational efficiency objectives.

What You'll Do:

• Coordinate and oversee all post-sales activities, including successful product deployment and ongoing support.
• Manage deployment operations, including training ML models and handling data operations and policies.
• Serve as a primary point of contact for customer success support, addressing inquiries and resolving issues promptly.
• Monitor customer systems and proactively identify and troubleshoot technical issues.
• Establish strong relationships with customers, understanding their unique needs and ensuring that our products meet those needs.
• Communicate regularly with our engineering and product teams, relaying customer feedback and contributing to the continuous improvement of our products and services.
• Deliver technical demos and training to customers, providing clear and concise explanations of complex AI and machine learning concepts.
• Track customer success metrics, analyze reports, and use data-driven insights to drive strategic decision-making and enhance the customer experience.

• Bachelor's Degree in Computer Science, Computer Engineering, or equivalent experience.
• At least 3 years of experience in a similar customer success, technical support, or consulting role.
• Experience with Computer Vision and Machine Learning technologies.
• Experience with cloud infrastructure and CI/CD operations.
• Excellent communication and problem-solving skills, with the ability to explain complex technical concepts clearly.
• A customer-centric mindset and a passion for ensuring customer success.