Machine Learning Engineer - 2 at SquadRun, Inc.
At SquadRun, we're reimagining how work gets done. We believe Humans and AI working together is the future of work and so we developed a smart workflow builder that gives you access to high-quality distributed workforce and automation in a single platform. This helps scale business processes with unprecedented SLAs of speed, accuracy, flexibility, and cost. We have offices in Noida and San Francisco. This role is primarily based in Noida with some travel.
We combine customized workflows, workflow automation and a distributed human talent pool of stay-at-home moms and college students delivering guaranteed SLAs of high-quality output, speed, and scale, at great cost efficiency. Please see this overview deck and this blog series for more context.
In every business, there are digital operations/ business processes that need to be executed. We are disrupting the business process outsourcing industry and in the process solving some of the most exciting machine learning problems. We’re looking for a senior candidate to own and build our automation (platform) product roadmap right from the ground up.
You would need to apply the best machine learning techniques to various aspects of business process automation and help businesses perform operational work with 10X efficiency (cost, speed, quality) than existing alternatives. For example, catalog management for commerce, content moderation for social businesses, training for AI algorithms, customer onboarding for banking and insurance etc. One of the biggest challenge lies in shaping the product which can have flexible modules that can come together to scale most major workflows. We are looking for an early member who not only is a machine learning wizard but has strong product chops.
Squad’s AI-powered enterprise SaaS platform provides all of the tools an operations team needs to automate their business processes. This helps them scale with unprecedented SLAs of speed, accuracy, flexibility, and cost. Leaders in online commerce like Uber, Sephora, Tata Group, Flipkart, Rocket Internet, Teespring and other data-intensive businesses use our platform across their entire data cycle.
Overview Deck: here
Solutions: Leaders in online commerce and other data-heavy businesses use our enterprise SaaS platform across their entire data cycle, providing better moderation, deep data attribution, search, recommendations, customer onboarding, and insights, resulting in higher conversions and improved user experience
Our key focus today is online commerce but we have been seeing interest from industries like Banking and Financial Services, Insurance, Telecom, and Information Services to automate similar workflows which is the heart of outsourcing and a $180 BN+ market, annually
Workflow Builder: Replicate any business process more efficiently through smarter orchestration between humans and automation
Workforce: Curated mobile workforce that's screened, skill-matched, trained, and monitored for high-quality task outputs (stay-at-home moms and college students)
Automation: Extensive libraries of AI tools including computer vision, pattern recognition, data anonymization, and NLP and Human-In-The-Loop Machine learning
Customers: Uber, Sephora, Tata Group, Flipkart Group, Rocket Internet Group, Teespring, amongst others
Impact: On average, we've reduced turnaround time by 5x, handled volumes spikes of over 6x, and reduced costs by over 70%, all while maintaining SLAs for accuracy. With time, we've also been able to automate over 30% of the work
Roles & Responsibilities:-
You would closely work on building a start-of-the-art work automation pipelines for our platform product:
Work closely with leads in defining the long term ML platform product roadmap with focus on a strong platform layer foundation
Facilitate data driven experiments to derive product insights
Identify new opportunities to leverage ML, computer vision, Deep learning etc. to different parts of the our platform
Build a sharp data science team and culture
Background & Key traits:-
2.5 to 5 years relevant experience working with data intensive ML problems at scale from inception to business impact
Experience with modeling techniques such as generalized linear models, cluster analysis, random forests, boosting, decision trees, time-series, neural networks & deep learning
Strong communication and documentation skills
Experience using programming (Python/R/Scala) and SQL languages in analytical contexts. Experience dealing with large datasets
Advanced degree in a relevant field (preferred)
Experience with distributed machine learning and computing framework would be a plus (Spark, Mahout or equivalent)
Why should you consider us seriously?
We have an audacious vision of reimagining how work gets done! We’re one of the few applications of AI/ Machine Learning that actually has a massive market and business model to create a long term valuable business rather than a short-term acquisition play!
In the last one year, we have built a product and solved problems for some of the largest brands in the world and tested platform at scale (processed 50+ million units of data). We have plans to grow 10x in the next 1.5 years.
We are a well-balanced team of experienced entrepreneurs and are backed by top investors across India and the Silicon Valley (Blume Ventures, 91springboard, senior product execs at Square, Genpact & Flipkart; co-founders of Infosys, Snapdeal, Slideshare, Zomato etc)
The platform empowers college students, stay-at-home mothers and gray collared workers as a stable source of income for working on their smartphone (Android App Link). Our contractors earn 3x of what a typical back office BPO employee makes. For us, this is truly impactful. Every day, we see success stories such as this one - how a single mother is sustaining herself. Empowering our contractors to be financially independent is a strong part of our vision!
This is just the beginning and we're here to change the world
Compensation: 14 - 20 LPA + ESOPs up to 10L
Joining date: ASAP! ;)
Here's what people say about working with us :)
Kevin from our Engineering Team wrote a blog that offers a comprehensive window to the coding culture and ethics at Squad. Check it out!