Applied Machine Learning Engineer, Anomalo
$210-250k
+ Equity
More information about location
Automated data quality issue detection software
Open for applications
Automated data quality issue detection software
21-100 employees
Open for applications
$210-250k
+ Equity
More information about location
21-100 employees
Company mission
To help users automatically detect data issues and understand their root causes, before anyone else.
Role
Who you are
- Experienced Innovator: 5+ years of experience applying ML in real-world settings, outside of academia, with a knack for statistical modeling, time series analysis, and meaningful data visualizations
- Technical Excellence: Proficient in Python, pandas, SQL, with a strong foundation in translating complex ML concepts into clear, actionable insights
- Educational Foundation: A degree in Mathematics, Statistics, Computer Science, or a related field, or equivalent practical experience, underpinning your technical expertise
Desirable
- Deep Data Quality Knowledge: Experience in identifying and resolving data quality issues, with a keen interest in anomaly detection and data analytics
- LLM Expertise: A background in leveraging Large Language Models to address business challenges, enhancing our technological edge
- Versatile Engineering: Prior full-stack engineering experience, showcasing a broad skill set and a holistic approach to technology solutions
What the job involves
- Solve Complex Problems: Take the vast problems of data quality and solve them using Machine Learning methods, breaking them down from first principles to deliver innovative solutions
- Drive Product Evolution: Lead the development of features at the heart of Anomalo. Your work will directly empower our customers to swiftly identify, triage, and resolve data quality issues, enhancing their operational efficiency
- Enhance ML Accessibility: Elevate Anomalo’s capabilities in Large Language Models (LLMs) and broaden our feature set, democratizing data quality monitoring for all users, not just the technically adept
- Pioneer in ML: Own and enhance a suite of interpretable ML tools, leveraging your expertise to make significant advancements in how algorithms are applied and understood
- Visualize Success: Craft bespoke visualizations that make complex ML findings clear and actionable, enabling customers to easily grasp and act on data insights
- Advance Data Integrity: Innovate in monitoring and validating data at scale, developing new methodologies that minimize false positives and expand our automated anomaly detection capabilities
- Iterative Excellence: Iterate and roll out new models to continuously improve in the three dimensions: quality, performance, cost. Your contributions will not only advance our technology but also ensure it remains at the cutting edge of efficiency and effectiveness
- Customer-Centric Development: Engage directly with users to gather feedback on your features, seeing firsthand the impact of your solutions and refining them for even greater impact
- Cross-Domain Innovation: Apply your ML prowess across diverse sectors—healthcare, finance, consumer goods—creating robust solutions that excel in varied data environments
Our take
In the realm of expanding data repositories, the detection of potentially detrimental data anomalies takes on heightened significance, especially in the context of machine learning models. Anomalo steps in with an automated solution, leveraging machine learning to tackle the critical issue of data viability.
Anomalo integrates with enterprise data warehouses, like Snowflake, where extensive corporate data is stored. Its role involves vigilant monitoring and identification of unusual discrepancies and undesirable alterations across these datasets. Given the pivotal role data plays in business operations, such early detection of issues becomes imperative.
Despite its recent inception, Anomalo has already gained recognition with notable clients, including BuzzFeed, Discover, and Substack. Employeing a unieuq revenue model, the company charges based on the monitored dataset, as opposed t the conventional user or data flow approach. Furthermore, Anomalo is in an active phase of product expansion, recently forging strategic alliances and actively seeking new talent across various domains to further proel its growth trajectory.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Nov 2024
$10m
SERIES B
Jan 2024
$33m
SERIES B
Total funding: $82m
Company benefits
- Fully Remote: We were fully remote before it was a thing, and we believe your best work happens on your schedule, We offer a generous $2,000 stipend to ensure your remote office is comfortable
- Quarterly Offices: While we love the flexibility of being remote-first, we also recognize the value of spending time together in person, We make time to get together (in a new destination!) for a company-wide offsite each quarter
- Generous Time Off: Enjoy 17 company holidays and unlimited vacations that we encourage you to take. We also have a company-wide winter break the last week of the year
- Health Benefits: Comprehensive family-friendly medical, dental, and vision insurance plans. Anomalo covers 90% of your premiums. We provide access to family planning and reproductive care for our employees and their families by partnering with Carrot Fertility. We provide mental health and wellness benefits for all employees, covered at 100%
- Family Comes First: We offer 16 weeks of parental leave, during which you will receive your full pay
- Investment in the company & your future: Every employee is granted a meaningful equity package. We also offer life insurance and a 401(k) plan
Company values
- Rational Optimism: We rely on each other to make principled decisions backed by data and logic
- For & By All: Diverse, inclusive teams build better products that represent the needs of our customers
- Own It: We champion ownership, and we take accountability for our wok
- Opacity Zero: Transparency enables our autonomous and fact-driven culture
- Outcomes > Hours: People should work when and where they will be most productive
- YOLO: Life's too short not o have fun at work
Company HQ
Chinatown, San Francisco, CA
Articles
Leadership
Elliot Shmukler
(CEO)A Product and Growth leader with more than 20 years of experience with Internet Consumer Software products. Previous VP of Product and Growth for Wealthfront Inc., and Chief Growth Officer at Instacart.
Jeremy Stanley
(CTO)A data science, machine learning, and AI leader. Previous CTO at Collective, Chief Data Scientist & EVP of Engineering at Sailthru, and VP of Data Science at Instacart.
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