---
title: 'Senior Machine Learning Engineer at Loopio Inc.'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-loopio-inc-india-hub-c16ge04bq5v2'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Machine Learning Engineer at Loopio Inc.

- **Company:** Loopio Inc.
- **Location:** India Hub
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-14
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/loopio/713e34ce-2e2e-4896-bb00-723cd5c97725/application

**Skills:** Python, PyTorch, TensorFlow, Machine Learning, Natural Language Processing, Large Language Models, Embeddings, Retrieval Augmented Systems, Transformer Models, API Development, Microservices

> Build and operationalize core ML components for search, summarization, and answer generation. Develop optimized embedding pipelines, prompt strategies, and fine-tuning methods to translate experimental prototypes into robust, scalable production systems.

## Job description

TAKE YOUR CAREER TO NEW HEIGHTS WITH LOOPIO! 🚀✨

We are seeking a highly skilled Senior Machine Learning Engineer with deep expertise in NLP, large language models, and model deployment. This role focuses on building and operationalizing the core ML components that power our next generation search, summarization, and answer generation capabilities. You will work closely with Applied Scientists, Product, and Engineering to bring advanced models from prototype to reliable, scalable production systems.

This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11:00am - 7:30pm IST.

💻 What You’ll Be Doing

Advanced Modeling & Applied Science

- Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks by developing optimized embedding pipelines, prompt strategies, and fine tuning methods while translating experimental prototypes into robust components that consistently perform under production conditions.
- Improve model accuracy, relevance, and robustness through structured evaluation frameworks, systematic error analysis, and iterative experimentation that ensures predictable behavior over time.

System Architecture & Engineering

- Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks, incorporating efficient serving strategies such as batching, caching, streaming, and performance tuned deployment patterns that meet latency, reliability, and throughput requirements.
- Integrate models with retrieval systems, feature stores, and knowledge sources while applying strong engineering discipline in automated testing, observability, logging, and operational readiness to support durable, maintainable ML systems.
- Contribute to core architectural decisions that balance modeling complexity with performance, maintainability, and long term extensibility.

Delivery, Collaboration & Leadership

- Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones while collaborating closely with Product, Engineering, and Applied Science partners to align expectations, remove constraints, and deliver measurable customer impact.
- Participate in technical design reviews and champion improvements in ML engineering practices including deployment standards, model QA, code quality, and operational excellence while providing informal mentorship on modern NLP techniques and scalable model serving.
- Demonstrate strong ownership and attention to detail by driving high quality delivery in a fast moving environment focused on reliability, clarity, and meaningful outcomes.

✨ What You’ll Bring to the Team

Proven Expertise in Machine Learning, Language Models, and NLP

- 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems.
- Hands on and deep experience with transformer models, embedding based methods, and retrieval augmented techniques, prompt structured or fine tuned LLMs, for reasoning and generation tasks.
- Ability to turn prototypes into stable engineering solutions that perform consistently in production environments.

System Design, Scalability, and Software Engineering Rigor

- Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development.
- Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability.
- Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems.

Business and Product Acumen

- Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality.
- Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution.
- Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes.

Where You’ll Work 📍

- This is a remote-first opportunity with the advantages of working flexibly across India.
- We are HQ’d in Canada, with established hub regions around the world where we hire from. Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇮🇳 India (HQ in Ahmedabad), and 🇬🇧 England (London).
- Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration.
- You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday
- We encourage asynchronous collaboration to effectively work as a global #OneTeam!

## Why You’ll ❤️ Working at Loopio

- Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice https://lattice.com/e-lp/talent-products?utm_source=google&utm_medium=paid-search&utm_campaign=NOAM_Google_Search_Brand_Core_Tier_1__OCT-Conv-Test-HR&utm_adgroup=Brand_Core_Tier_1&attribution=lattice-mktg&_bt=645279480236&_bk=lattice&_bm=p&_bn=g&_bg=149106216630&cq_src=google_ads&cq_cmp=19577143427&cq_con=149106216630&cq_term=lattice&cq_med=&cq_plac=&cq_net=g&cq_plt=gp&qgad=645279480236&qgterm=lattice&gad_source=1&gclid=Cj0KCQiA-5a9BhCBARIsACwMkJ4OzbQBp30JTrxoLWSv3ht4C0NBeu9uyrTE7GCIu8D_lqBGuC3CG7kaAiWnEALw_wcB for our 1:1s and performance conversations
- You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
- We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.
- You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
- Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!
- Our four active Employee Resource Groups https://loopio.com/annual-deib-report/ offer opportunities for employees to learn and connect year-round.
- You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business.

Questioning your qualifications? Read this ‼️ Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups.

Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.

AI in Recruitment 👩🏻‍💻 At Loopio, we leverage  artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, transcription and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI  serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both  an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions  solely made by our team. We continuously review and refine our hiring practices to align with  industry best practices and evolving legal guidelines

AI Usage in Interviews 🤖 The Loopio interview process is designed to help us better understand your professional experiences, as well as your unique perspective and approach to delivery and collaboration. To ensure a fair and accurate assessment, we expect candidates to refrain from using AI-generated content to produce responses to our interview questions during the live interview, as our goal is to evaluate your own knowledge and problem-solving abilities - not those of an AI assistant. If AI-generated responses are identified during the interview, Loopio reserves the right to disqualify candidates from the interview process.

For specific roles that include a take-home assignment, our AI Interviewee Policy allows the use of AI for initial support; however, the final submission must be a true reflection of your personal insights, skills and decision-making.

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team (work@loopio.com) should you require accommodations at any point during our virtual interview processes.

## About Loopio Inc.

## Company Overview
- **One-liner**: Loopio provides a response management platform that helps teams streamline and win more RFPs, DDQs, and security questionnaires.
- **Entity Type**: Private (venture-backed; last known round: growth equity from Sumeru Equity Partners in 2021; total funding $408.1M)
- **Headquarters**: Toronto, Ontario, Canada
- **Founded**: 2014
- **Founders**: Zak Hemraj, Matt York, Jafar Owainati

## Core Business
- **Primary industry**: Proposal and response management software (SaaS)
- **Target customers**: B2B, primarily enterprise and mid-market companies (1,700+ global brands)
- **Mission**: Empowering you to shine in every response – simplifying the tedious process of responding to RFPs, DDQs, and security questionnaires.

## Products & Services
- **Loopio Platform**: A collaborative workspace to manage, answer, and track RFPs, DDQs, and security questionnaires. Includes content library, workflows, and analytics. (SaaS)
- **Response Intelligence (AI)**: Purpose-built AI trained on over a decade of RFP data and millions of answers to help users generate high-quality responses faster. (AI feature)
- **Integrations**: Connects with CRM, content management, and other enterprise tools to streamline the response process.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of $408.1M (as of latest round); estimated annual revenue of $34.9M (per LinkedIn)
- **Notable Investors/Partners**: OpenView (2017 Series A), Sumeru Equity Partners (2021 growth investment); acquired Avnio in 2023 to expand product and global presence.
- **Growth Signals**: Named twice on Deloitte Technology Fast 50™ list and twice on LinkedIn’s Top Startups in Canada; serves 1,700+ global customers; expanded into UK and India post-acquisition.

## Competitive Advantages
- **Proprietary AI**: Response Intelligence built on 10+ years of RFP data and best practices, with more than 500,000 projects analyzed.
- **Enterprise-grade security**: SOC 2 Type II certified, end-to-end encryption (TLS v1.2, AES-256), hosted on AWS, SSO support, and annual penetration testing.
- **Deep integrations**: Works with existing enterprise tools and supports safe AI adoption alongside enterprise AI systems.
- **Market focus**: Specialized entirely on response management, giving it domain depth that generalist tools lack.

## Strategic Focus
- **AI innovation**: Continually enhancing Response Intelligence to balance security and innovation.
- **Global expansion**: Building on the Avnio acquisition to grow presence in the UK and India.
- **Product development**: Expanding platform capabilities to cover the full response lifecycle (from intake to submission).
- **Remote-first culture**: Maintaining a distributed workforce with hubs in Toronto and Vancouver to attract top talent across Canada.

## Why Work Here
- **Remote-first**: By default, all employees work from home (remote-first since March 2020). Monthly phone/internet allowance, generous work-from-home budget (plus laptop provided).
- **Location hubs**: Hires within a 300 km radius of Toronto or Vancouver for occasional optional meet-ups.
- **Benefits**: Robust health benefits, extended parental leave, employee stock options, professional mastery budget, generous PTO, annual company retreat, team socials.
- **Culture**: Guided by core values (Mastery, Support, etc.) and a strong focus on diversity, equity, and inclusion. Regular anti-racism and inclusion workshops; Employee Resource Groups (Women, Mental Health, LGBTQ2S+, BIPOC); partnerships with BPTN, QueerTech, Palette Skills.
- **Growth**: Fast-growing Canadian tech startup (Deloitte Fast 50, LinkedIn Top Startups) with opportunities for career development and learning.

## Sources
1. [loopio.com](https://loopio.com/) – Product overview, security, integrations, customer count
2. [loopio.com/about](https://loopio.com/about/) – Mission, history, founders, values, DEI, AI approach
3. [loopio.com/careers](https://loopio.com/careers/) – Remote-first policy, benefits, perks, DEI, ERGs
4. [builtin.com](https://builtin.com/company/loopio) – Office locations, headcount, job listings, culture summary
5. [linkedin.com](https://ca.linkedin.com/company/loopio) – Revenue estimate, total funding, employee count, industry, SIC codes

## Other roles at Loopio Inc.

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