
Software Engineer AI/ML Ops
Required skills
- AI/ML Ops
- software algorithms
- product design
- systems improvement
- machine learning
- statistical modeling
- decision trees
- logistic regression
- Bayesian analysis
- product performance
Nice to have
- Finance Automation
Role summary
The Software Engineer AI/ML Ops role focuses on developing and implementing software algorithms for data analysis and product/system improvement. This position involves using machine learning and statistical modeling techniques to enhance performance, quality, and data management. Responsibilities include translating algorithms into code, performing testing and debugging, and completing documentation. The role also involves applying deep learning technologies and adapting machine learning for interactive experiences, working with large-scale computing frameworks and data analysis systems. Engineers with AI initiative experience are encouraged to apply.
Make Your Mark:
In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large scale computing frameworks, data analysis systems and modeling environments. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages Engineers involved with artificial intelligence initiatives may be an appropriate match to this job family.<br />You'll Get To:
What You'll Bring:
Thrive at BlackLine Because You Are Joining:
- A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!
- A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
- A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.
BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.
BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.
Salary Range:
$146,000.00-$183,000.00Pay Transparency Statement:
Placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location.
In addition to base pay, BlackLine also offers short-term and long-term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans.
We are committed to pay transparency and ensuring candidates have clear information about compensation expectations. For roles that include variable incentive components such as an Incentive Compensation Plan (ICP) or On-Target Earnings (OTE), the compensation structure may follow a split model – for example, a 50/50, 70/30, or 60/40 ratio between base salary and variable incentive.
BlackLine is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form.
Accommodations:
BlackLine is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form.
Sample BlackLine interview questions
- 1
Pacific and Atlantic Water Flow Calculate water flow from a matrix to the Pacific and Atlantic oceans. Input: heights = [[2,1],[1,2]] Output: [[0,0],[0,1],[1,0],[1,1]] Explanation: All cells can flow to both oceans because water can move to adjacent cells of equal or lower height or directly off the edges.
codingmedium - 2
Find the majority element in an array. Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊n / 2⌋ times. You may assume that the majority element always exists in the array. Input: nums = [3, 2, 3] Output: 3 Explanation: The number 3 appears 2 times, which is strictly greater than n/2 (1.5).
codingmedium - 3
Count Anagrammatic Substrings Count the number of anagrammatic substrings from one string present in another. Input: s = "abab", p = "ab" Output: [0, 1, 2] Explanation: The substrings "ab", "ba", and "ab" starting at indices 0, 1, and 2 respectively are all anagrams of the string "ab".
codingmedium - 4
Split Array into Consecutive Subsequences Split an array into consecutive subsequences. Input: nums = [1,2,3,4,4,5] Output: FALSE Explanation: The numbers can form [1,2,3,4], but the remaining leftover group [4,5] is too short to form a valid sequence of length 3.
codingmedium - 5
Product of Array Except Self Calculate the product of an array except for self without using division. Input: nums = [-1,1,0,-3,3] Output: [0,0,9,0,0] Explanation: The single zero zeros out all products except at its own index, which cleanly multiplies the remaining elements.
codingmedium
Get started to unlock a personalized interview prep pack for this role.
Similar roles
Director, Software EngineeringBlackLine · Pleasanton, CA · Hybrid
Sr. Mid-Market Account ManagerBlackLine · United States · Hybrid- Sr. ML Ops Engineer, Forward-Deployed6sense · Remote · Remote
- Manager Data Engineering-ML OpsGore Mutual Insurance · Cambridge, ON · Hybrid
ML Ops EngineerICF · Reston, VA · Hybrid- Senior ML Ops EngineerCONFIDO · New York, NY · Onsite
