Benefits:

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

• Incredible chance for professional advancement in a rapidly scaling high-tech environment.

• Weekly in-office catering at headquarters.

Experience Requirements:

• 4 to 6 years of experience in technical program management or adjacent roles (e.g., product management, project management, solutions engineering, operations, strategy, etc.) with a track record of successfully delivering complex technical programs.

• Familiarity with the business impacts of technical subject matters and methodologies, including software development lifecycles, application programming interfaces, and AI and data.

Other Requirements:

• Currently holds (preferred) or eligible for a Top Secret security clearance.

Benefits:

• Competitive salary, performance bonus, and benefits package.

• Opportunity to participate in Torch.AI’s employee equity incentive program.

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

Education Requirements:

• B.S. degree in a related field or an equivalent combination of training and experience.

Experience Requirements:

• Extensive experience with Python and JSON.

• Ability to extract data from open-access, publicly available data sources.

• Ability to develop and maintain large scale web crawlers to access internet-wide data.

• Ability to build data pipelines for the rapid ingestion of data.

Other Requirements:

• Eligible for Top Secret security clearance.

Benefits:

• Competitive salary, performance bonus, and benefits package.

• Opportunity to participate in Torch.AI’s employee equity incentive program.

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

Education Requirements:

• B.S. or M.S. degree in Computer Science, Engineering, or related field.

Experience Requirements:

• Strong proficiency in Python, including experience building services with Flask.

• 3-10 years of experience working with model libraries such as ScikitLearn, spaCy, and Hugging Face.

• Experience with MLOps including preparing data, training, evaluating, and deploying models.

Other Requirements:

• Currently holds (preferred) or eligible for a Top Secret security clearance.

Benefits:

• Competitive salary, performance bonus, and benefits package.

• Opportunity to participate in Torch.AI’s employee equity incentive program.

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

Education Requirements:

• B.S. degree in Computer Science or related field.

Experience Requirements:

• 5+ years of experience in software development / operations / data experience.

• Knowledge of RESTful services, as well as JSON parsing and querying.

• Proven experience with Big Data technologies, including processing and analyzing large-scale datasets.

• Proficient in NiFi for data integration, flow management, and system interoperability.

Other Requirements:

• Currently holds (preferred) or eligible for a Top Secret security clearance.

Benefits:

• Competitive salary, performance bonus, and benefits package.

• Opportunity to participate in Torch.AI’s employee equity incentive program.

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

Education Requirements:

• B.S. degree in Computer Science, Technology, Engineering, or a relevant field; M.S. preferred.

Experience Requirements:

• 5+ years of professional software development experience with object-oriented programming languages such as JavaScript, Python, or Java.

• Experience deploying software to cloud platforms (e.g., AWS, GCP, Azure).

• Hands-on experience with both front-end (React, Angular, Vue, Redux) and back-end technologies (Node.js, Python, Java).

Other Requirements:

• Currently holds (preferred) or eligible for a Top Secret security clearance.

Benefits:

• Competitive salary, performance bonus, and benefits package.

• Opportunity to participate in Torch.AI’s employee equity incentive program.

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

Education Requirements:

• B.S. degree in Computer Science or field or related field.

Experience Requirements:

• 5+ years of experience in software development/ operations / data experience.

• Knowledge of RESTful services, JSON parsing and querying.

• Proven experience with Big Data technologies, including processing and analyzing large-scale datasets.

• Proficient in NiFi for data integration, flow management, and system interoperability.

Other Requirements:

• Eligible for Top Secret security clearance.

Benefits:

• Competitive salary, performance bonus, and benefits package.

• Opportunity to participate in Torch.AI’s employee equity incentive program.

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

Education Requirements:

• B.S. or M.S. degree in Computer Science, Engineering, or a related field.

Experience Requirements:

• 5 to 10 years of experience in software or data engineering.

• Proven ability to manage application development across production stages (e.g., development, staging).

• Expertise in configuring and maintaining cloud infrastructure.

Other Requirements:

• Eligible for Top Secret security clearance.

• Strong problem-solving skills and attention to detail.

• Ability to collaborate effectively with interdisciplinary teams, including Data Scientists, Data Analysts, and Product Managers.

Education Requirements:

• Masters degree in Engineering, Mathematics or other Scientific Discipline

Experience Requirements:

• At least 5 years experience generating clear, well-documented, and well-tested SystemVerilog, Verilog or VHDL code

• Experience of bringing up full FPGA designs and debugging on hardware

• Experience optimising RTL designs to achieve timing closure

Other Requirements:

• Worked with FPGA EDA tools such as Quartus or Vivado

• Worked with software languages such as C, C++, Python

• Familiarity with Linux development environments, version control and CI systems

• Good verbal and written communication skills

• Familiarity with neural network architectures

• Interest in Functional Programming Languages

Responsibilities:

• Writing and testing IP components in SystemVerilog for FPGA

• Building full applications for FPGA using our IP library

• Integrating with third party IP for external memory PCIe subsystems

• Extending IP verification code and integrating into automated test environments

• Working with software interface routines to support FPGA integration into the software stacks Learning about a range of Machine Learning inference optimization techniques Providing technical support for customer engagements

Experience Requirements:

• At least 5 years generating clear, well-documented, and well-tested code

• Built large C++ or Rust codebases

• Experience working on high performance or real-time applications

• Worked in a multi processor – multi threaded environment.

• Worked with cloud deployed applications

Other Requirements:

• Familiarity with Linux driver-level / kernel-level programming

• Experience of coaching and developing others

Responsibilities:

• Shipping Rust applications for real time deployment of machine learning powered services

• Optimising code for the latest larger server, multicore CPUs

• Creating code to handle high throughput, timing critical services in local and cloud based data centers

• Releasing customer and open source application repositories

• Working with our ML team and ML frameworks for inference optimization Working with our acceleration team to implement fully optimized applications Specifying customer and internal APIs Developing best practice ways of working and test infrastructure

Education Requirements:

• A degree in Engineering, Computer Science or other Technical discipline

Experience Requirements:

• Experience simulating and verifying large RTL designs

• At least 5 years generating clear, well-documented, and maintainable SystemVerilog code

Other Requirements:

• Experience with C/C++ or other imperative coding language

• Good verbal and written communication skills

• Experience working in Linux based development environments

• An interest in learning about AI Inference compute architectures

• Interest in Functional Programming Languages

Responsibilities:

• Designing SystemVerilog based verification environments to support a range of IP products

• Optimizing verification code to enable fast simulation support for software integration

• Communicating the verification environment design and supporting others to use, add and extend testing during IP development

• Learning about AI inference compute architectures and mathematical techniques

• Working alongside our ML, Software and FPGA developers

Benefits:

• Dental

• Medical

• Vision

• Remote Work

• Structured internal training program

Education Requirements:

• BA/BS degree not required, but some college is desired

Experience Requirements:

• 0-1 years sales experience

Responsibilities:

• Work on outbound outreach to identify sales opportunities

• Work on qualification for inbound lead requests

• Track and meet daily, weekly and quarterly metrics

• Follow-up with marketing campaigns as needed

• Learn about our products and our sales and marketing processes

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Experience Requirements:

• 5+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field

• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services

• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation

• Experience building and maintaining large scale, production data pipelines for machine learning applications

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization

• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials.

• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more

• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 2+ years experience working in a technical customer-facing role.

• Proficient in Python.

• Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.

• Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests.

• Experience with common support software like Zendesk, Jira, and Slack.

Responsibilities:

• Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications.

• Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.

• Perform live working sessions to analyze and address customer reported issues.

• Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team.

• Contribute to internal and external guides and docs, improving our self-service support materials.

Education Requirements:

• B.S. degree in Business Administration, Engineering, or comparable degree/experience.

Experience Requirements:

• 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.

• 2+ years experience as a lead project manager, preferably in a technology or consulting environment.

• Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.

• Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.

• Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.

Responsibilities:

• Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.

• Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.

• Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.

• Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.

• Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Experience Requirements:

• 7+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field

• 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services

• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Transformers, Scikit-learn, NumPy, Pandas), and an obsession with thorough ML evaluation

• Experience building and maintaining large scale, production data pipelines for machine learning applications

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Assist customers with the delivery of a Machine Learning project from beginning to end, including business case definition and scoping, data aggregation and exploration, algorithm selection, and model deployment to deliver business impact to the organization

• Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials.

• Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more

• Serve as the voice of our customers for new ML paradigms, data science workflows, and share customer feedback to product teams

Education Requirements:

• Bachelor's degree in Computer Science or related field, or equivalent demonstrated experience

Experience Requirements:

• Strong development and debugging skills in Python

• 5+ years of software development experience in distributed systems and cloud-native applications

• Strong experience with cloud platforms and infrastructure as code (Terraform, CloudFormation, Helm)

• Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)

• Proficiency in code and system health, diagnosis, resolution and software test engineering

Responsibilities:

• Design, build, and maintain services and deployment for Snorkel’s enterprise platforms

• Design, build, and improve observability and alerting for Snorkel’s enterprise platforms

• Contribute to Snorkel’s inhouse deployment management software to installation and upgrades of various deployments for Snorkel’s enterprise customers

• Build and maintain Snorkel’s production and staging infrastructure; own our k8s and cloud strategy

• Work closely with various engineering teams in defining test strategies and build infrastructure to execute the same

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Responsibilities:

• Orchestration and Infrastructure Development:

• Design, implement, and maintain orchestration tools for workflows using Ray and Prefect.

• Build and manage infrastructure for scalable data connectors to integrate with systems like S3, Snowflake, and Databricks.

• Optimize compute resource utilization for AI pipelines and ensure reliable, fault-tolerant execution of tasks.

• MLOps and SDK Development:

Experience Requirements:

• 6+ years of professional experience with modern React (ES7, React hooks, TypeScript)

• Strong technical communication skills and initiative

• Product engineering experience building full-stack web applications

• Ability to prototype and iterate quickly around sophisticated user workflows

• Obsession with front-end development best practices, including designing unit and end-to-end tests

Responsibilities:

• Design and develop key interfaces of Snorkel Flow, including interfaces for managing deployments, automatically analyzing data, and visualizing key metrics

• Work directly with world-class customers to help create intuitive interfaces for ML development

• Advocate and help define standards for the best practices in performance, product quality, security and user experience across the entire application

• Provide mentorship and foster a growth and collaborative mindset for all members of your team.

• Collaborate with cross functional teams on developing large scale products

Experience Requirements:

• 5+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures

• Experience developing and shipping enterprise software products for machine learning and data science applications

• Experience prototyping and iterating on user interfaces with modern React (ES7, React hooks, TypeScript)

• Expertise designing REST or GraphQL APIs for internal services and developers

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Design and develop key interfaces of Snorkel Flow Studio, our novel workspace for programmatic labeling, data analysis, and visualization tools

• Prototype, optimize, and maintain scalable services to power new ML development workflows in Snorkel Flow

• Build proactively with empathy for our customers, constantly iterating to balance innovative research with practical solutions

• Engage with product managers, designers and ML experts to create a phenomenal user experience

• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes

Benefits:

• Group life assurance policy

• Income protections policy

• Access to our employee wellbeing programme

• An extra day off to celebrate your birthday

• Enhanced Maternity & Paternity leave policies may be available depending on location, eligibility and length of service with Napier. Please ask your Recruiter for more details during your application process.. For example, UK offers 6 months full pay for Maternity Leave and 1 month full pay for Paternity Leave. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.

Experience Requirements:

• At least 4 years of commercial experience in an engineering role working on microservice-based solutions

• Experience in Agile delivery environments

• Knowledge of DevOps and infrastructure engineering principles and practices

Responsibilities:

• Assuming direct development responsibility for developing, debugging and unit testing of product features in accordance with internal procedures and standards

• When required, diagnosing, and solving functional and performance/scalability issues

• Helping to improve technical practices towards a continuously releasable end-state, especially in terms of GitHub, CI/CD, and development processes