Robust Intelligence
Data Platform Engineer
Robust Intelligence, San Francisco, California, United States, 94199
Robust Intelligence's mission is to eliminate AI Risk. As the world increasingly adopts AI into automated decision processes, we inherit great risk.Our flagship product is built to be integrated with existing AI systems to enumerate and eliminate risks caused by unintentional and intentional (adversarial) failure modes. With Generative AI becoming increasingly popular, new vulnerabilities and attacks present a significant threat to AI companies and their consumers. Our Generative AI Firewall provides a safety net against these failure modes.At Robust Intelligence, we have built a multidisciplinary team of ML Engineers, AI security experts, and software engineers to advance the state of AI security. Together, we're building the future of secure, trustworthy AI.About The RoleAs a Data Platform Engineer you will be a part of the our ML Data and Quality team and help the team build the platform for data generation used for model development, off-line experiment pipelines, data collection and labeling mechanism, and data management. You will help shape the processes surrounding data creation, storage, and usage. You are at home working with a cross-functional team of researchers, engineers, and security experts to design, develop and deploy innovative AI solutions.
As an Data Engineer you will:
Be primarily responsible for building the ML data infrastructure based on the requirements of the ML team and the product needs, including data lineage, provenance, and validation.Be hands-on and build data workflows, data experimentation pipelines and ML evaluation strategies.Collaborate with ML and research to understand data needs, help build novel data generation algorithms, and help build and enforce processes around data creation and usage.You'll have t he opportunity to contribute to our overall machine learning and data management culture as a member of the team.What we look for:
A BS or MS in Computer Science/Engineering.4+ years of industry experienceAn attitude of hands-on learning and constant experimentation to decompose and understand problem areas.Experience with MLOps frameworks like MLFlow, model hosting services like HuggingFace or Baseten is a big plusExperience with some backend datastore similar to SnowFlake or DataBricks.Strong programming skills in generic programming languages such as Python or Golang.Excellent written and verbal communication skills, strong analytical and problem-solving skills.Technologies we use:
Python and specifically numpy, pandasBonus: ML frameworks like pytorch, tensorflow, fastai, xgboost, catboost, lightgbm, sklearn etcBonus: GolangRobust intelligence (RI) is a people-first company. We offer an array of perks and benefits that ensures our employees’ health and well-being. With RI’s in-office company culture, we offer our employees free daily lunches and dinners (if you are working late), free snacks and beverages, commuter benefits, and an office gym.Our leaders recognize that all of our employees are humans first. Employees at the company are parents, pet owners, siblings, and a long list more. Hence, RI ensures that employees have the benefits and resources needed to spend time with their families and live a fulfilling life outside of work. Benefits include a flexible time off policy, paid parental/family leave, child care allowance, 401(k) retirement plan, and market-leading health, dental, and vision insurance for employees and dependents. We also have an education reimbursement program for individual learning.What we offer:We offer the opportunity to significantly contribute to shaping AI's future. This opportunity is a collaborative effort between impossibly talented individuals who share a passion for this mission. Our biggest asset is inclusion, as building a diverse community is the key to succeeding in our mission. In addition to the goal and environment we offer:- Competitive salary and company ownership through equity - Market-leading health, dental, and vision insurance for employees and dependents - Flexible Time Off Policy and Paid Parental/Family Leave - Education reimbursement program for Individual Learning - 401(k) Retirement plan - Commuter benefits - Immigration sponsorship - H1B and Green Card - Company lunches, dinners, and kitchens stocked with snacks and drinks - On-site gym and wellness programEEOC - Robust Intelligence is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply!
As an Data Engineer you will:
Be primarily responsible for building the ML data infrastructure based on the requirements of the ML team and the product needs, including data lineage, provenance, and validation.Be hands-on and build data workflows, data experimentation pipelines and ML evaluation strategies.Collaborate with ML and research to understand data needs, help build novel data generation algorithms, and help build and enforce processes around data creation and usage.You'll have t he opportunity to contribute to our overall machine learning and data management culture as a member of the team.What we look for:
A BS or MS in Computer Science/Engineering.4+ years of industry experienceAn attitude of hands-on learning and constant experimentation to decompose and understand problem areas.Experience with MLOps frameworks like MLFlow, model hosting services like HuggingFace or Baseten is a big plusExperience with some backend datastore similar to SnowFlake or DataBricks.Strong programming skills in generic programming languages such as Python or Golang.Excellent written and verbal communication skills, strong analytical and problem-solving skills.Technologies we use:
Python and specifically numpy, pandasBonus: ML frameworks like pytorch, tensorflow, fastai, xgboost, catboost, lightgbm, sklearn etcBonus: GolangRobust intelligence (RI) is a people-first company. We offer an array of perks and benefits that ensures our employees’ health and well-being. With RI’s in-office company culture, we offer our employees free daily lunches and dinners (if you are working late), free snacks and beverages, commuter benefits, and an office gym.Our leaders recognize that all of our employees are humans first. Employees at the company are parents, pet owners, siblings, and a long list more. Hence, RI ensures that employees have the benefits and resources needed to spend time with their families and live a fulfilling life outside of work. Benefits include a flexible time off policy, paid parental/family leave, child care allowance, 401(k) retirement plan, and market-leading health, dental, and vision insurance for employees and dependents. We also have an education reimbursement program for individual learning.What we offer:We offer the opportunity to significantly contribute to shaping AI's future. This opportunity is a collaborative effort between impossibly talented individuals who share a passion for this mission. Our biggest asset is inclusion, as building a diverse community is the key to succeeding in our mission. In addition to the goal and environment we offer:- Competitive salary and company ownership through equity - Market-leading health, dental, and vision insurance for employees and dependents - Flexible Time Off Policy and Paid Parental/Family Leave - Education reimbursement program for Individual Learning - 401(k) Retirement plan - Commuter benefits - Immigration sponsorship - H1B and Green Card - Company lunches, dinners, and kitchens stocked with snacks and drinks - On-site gym and wellness programEEOC - Robust Intelligence is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply!