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Machine Learning Engineer - 2

Join Us in Revolutionizing the Construction Industry 


Parspec is transforming how $5 trillion in building construction products are sold annually around the world by digitizing and organizing the industry’s product data. By making this data more accessible and useful, our digital platform enables designers and builders to quickly identify the right products for their projects and helps the supply chain to generate new leads and close deals faster. These benefits are enabled by proprietary AI and workflow automation technology.


Founded in 2021, Parspec has raised over $11M in seed financing from leading deep tech and construction industry investors to achieve its ambitious mission, including Innovation Endeavors (founded by former Google CEO Eric Schmidt). We invite you to be at the forefront of innovation for one of the oldest and largest industries in the world!


LEADERSHIP


Parspec is helmed by technologists and construction supply chain veterans with a common passion to digitally transform our industry:


Forest Flager (Co-Founder & CEO) - Former Director of Software at Katerra and Stanford University faculty member; Stanford BS, PhD. MIT MEng. Harvard MDes.


Pratyush Havelia (Co-Founder & CTO) - Construction-tech engineering leader for 8+ years; Stanford MS & MEng, IIT-R B.Tech.


ENGINEERING LEADERSHIP


Saurabh Khemka (AI Lead) - 8+ years of industrial experience in large scale model building and deployment, PhD in Neuroscience - Switzerland, IIT-R B. Tech.


Sharique Arshi (Lead Software Architect) - 10+ years of experience in the software engineering industry while wearing different hats; IIT-G B.Tech.


Abhijit Mitra (Lead Frontend Engineer) - Spent 8+ years building highly scalable web applications, monorepo, micro-frontend architecture; ex-Tekion; Gauhati University B.Tech.


Anjali Sinha (Product Manager) - a seasoned product leader with 7+ years of experience in project & product management, operations strategy, and analytics; National University of Singapore - M.Tech


Sameer Kulkarni - (HR and Operations Lead) 7+ years of experience across a number of HR and Operations roles including learning and development, organizational development and project management; SPPU - Masters in Industrial and Organizational Psychology


ROLE SUMMARY


As an early member of the AI team, you will play a key role in developing the core software and also maintaining & upholding the culture of brilliance in our tightly-knit organization.


You will:


- Participate in the design, development and deployment of AI systems that are on par with the state-of-the-art available in the market today

- Work on cutting edge data science problems and expose yourself to the world of LLMs & NLP.

- Indulge in the full product design, development and deployment cycle by working closely with the business, product and engineering teams

- Be at the forefront of cutting-edge technologies and get to learn best practices from some of the best minds in the industry


This is an exceptional opportunity to bring an entire industry to the forefront of the digital age, and we are excited to work together with like-minded and ambitious individuals like you to realize this potential. It is preferred if the applicant(s) are located in Bengaluru and can report regularly to the office. 


WHO YOU ARE


You are passionate about working in a fast paced, dynamic, friendly team and are looking for a challenging and rewarding opportunity to build a top-tier product. You agree with the following:


- You have a minimum and relevant work experience of 3+ years in this field

- You have an entrepreneurial spirit, and are excited by the opportunity to shape the development of a young business

- You are passionate about developing state-of-the-art AI, NLP & LLMs.

- You are well versed with deployments on different platforms such as AWS & GCP and don’t fear getting your hands dirty.

- You are eager to keep yourself up-to-date with the latest developments, tools and frameworks in AI

- You are detail-oriented and meticulous, but also understand the importance of rapid iteration in an agile development environment

- You are knowledgeable about how digitization & automation has impacted other industries and are excited to find new applications for technology in construction

- You love to learn and are especially good at picking up new concepts quickly

- You are self-driven and take pride in your work

- You are willing to occasionally make yourself available outside regular IST working hours to accommodate collaboration with a globally distributed team


WHAT YOU WILL DO


- Design and develop Computer Vision, NLP and Recommendation Systems for our app

- Develop, train and deploy deep learning and machine learning models

- Research and implement novel deep learning architectures

- Integrate in the cycle of product design, development, integration and testing for our apps

- Own and develop product features from concept to implementation

- Develop products which will be cutting edge & highly scalable to deal with huge data volumes and extensible to onboard new clients

- Work closely with product managers, UX designers and end-users for integrating software and AI components into a fully functional system

- Design complete end-to-end data and ML pipelines

- Uphold our culture of engineering excellence

- Collaborate with the leadership team in research and development efforts


WHAT DOES YOUR ARSENAL LOOK LIKE


Required


- Bachelor’s or Master’s degree in Science or Engineering field and excellent programming, critical thinking and analytical skills

- Strong conceptual understanding of machine learning and deep learning. Deep learning expertise in Computer Vision or Natural Language Processing

- Experience with implementing ML projects in Python and working knowledge of Python libraries like numpy, sklearn, matplotlib, pandas, etc

- Experience with implementing and training deep learning models in TensorFlow/Keras or Pytorch

- Ability to write clean, efficient and bug-free code. 

- Ability to lead an initiative from concept to operation, navigating all stages and roadblocks on the way


Preferred but Optional

- Experience working with applications hosted on AWS and Django web framework

- Experience with databases and web application architecture

- Experience working with OCR and PDF processing libraries 

- Good knowledge of algorithms and data structures

- Completed academic or online specializations in Machine Learning and Deep Learning 

- Participation in competitive programming, Kaggle competitions, contribution to open source projects, etc  

- Experience working with geographically distributed teams across multiple time-zones


WHAT YOU CAN EXPECT 

As an integral part of building Parspec from the ground up, you will share in our success. We offer: 

- Highly competitive salary and benefits that include, among other things - insurance coverage for you and your immediate family, free health teleconsultations, learning and upskilling budgets

- Company equity

- Flexible hours

- Hybrid work setup

- Unlimited PTO

- Opportunity to grow with a rapidly scaling company addressing a large market ripe for digital transformation


THE PARSPEC ETHOS


At Parspec, we lead from every seat. Our team members are self-starters that embrace ambiguity, think big, and bring their own uncompromising standards of excellence. We embrace diversity with a belief that different backgrounds, ideas, and skillsets result in better outcomes. Parspec does not discriminate in employment based on race, color, creed, national origin, ancestry, sex, marital status, disability, religious or political affiliation, age, sexual orientation, or gender identity.


Parspec encourages people of all backgrounds to apply, including people of color, immigrants, refugees, women, LGBTQIA, people with disabilities, veterans and those with diverse life experiences.

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What You Should Know About Machine Learning Engineer - 2, Parspec

Are you ready to join a trailblazing team at Parspec as a Machine Learning Engineer? Here at Parspec, we're on a mission to reshape the construction industry’s future by digitizing how the $5 trillion market for building construction products operates. As an essential part of our innovative AI team, you’ll be developing and deploying state-of-the-art systems that harness the power of AI, NLP, and machine learning. Our aim is to make vital product data more accessible for designers and builders, helping them streamline their projects. You’ll collaborate closely with tech-savvy colleagues, learning from industry veterans and shaping products that have a real impact. With a culture that fosters brilliance and an entrepreneurial spirit, we’re looking for someone who shares our passion for pushing boundaries and making technology work for people. Whether you’re developing sophisticated recommendation systems or diving deep into computer vision problems, you’ll be at the forefront of industry transformation. Plus, with our flexible hours and hybrid work setup, you’ll enjoy a balanced work-life while helping to build something truly revolutionary. Let’s transform the construction world together at Parspec—an exciting opportunity awaits you!

Frequently Asked Questions (FAQs) for Machine Learning Engineer - 2 Role at Parspec
What are the key responsibilities of a Machine Learning Engineer at Parspec?

As a Machine Learning Engineer at Parspec, your primary responsibilities involve designing and developing advanced AI systems, particularly in areas like NLP and computer vision. You'll work on the full product cycle, collaborating with various teams to ensure that the software you create is top-notch and utilizes cutting-edge technologies. Plus, you’ll need to maintain our culture of engineering excellence while ensuring robust integration of AI components.

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What qualifications do I need to apply for the Machine Learning Engineer position at Parspec?

To be considered for the Machine Learning Engineer role at Parspec, you'll need a Bachelor's or Master's degree in a relevant field like Science or Engineering. Additionally, a minimum of 3 years of experience in machine learning, especially with exposure to NLP or computer vision, is crucial. Proficiency in Python, deep learning frameworks like TensorFlow or PyTorch, and solid analytical skills are required to excel in this position.

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What is the team culture like at Parspec for Machine Learning Engineers?

The culture at Parspec is dynamic and friendly, emphasizing a collaborative and self-driven work environment. As a Machine Learning Engineer, you’ll be encouraged to embrace ambiguity and think creatively while also upholding high standards of engineering excellence. You will be part of a close-knit team committed to continuous learning and innovation in the construction industry.

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What technologies will I work with as a Machine Learning Engineer at Parspec?

At Parspec, as a Machine Learning Engineer, you’ll engage with a variety of technologies including advanced deep learning frameworks like TensorFlow and PyTorch. You'll also leverage Python libraries such as NumPy, Scikit-learn, and Pandas to implement machine learning models, alongside working with cloud platforms like AWS and GCP to deploy your innovations effectively.

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What opportunities for growth are available for Machine Learning Engineers at Parspec?

At Parspec, we prioritize the professional development of our Machine Learning Engineers by offering learning and upskilling budgets, access to relevant training programs, and the chance to work on groundbreaking projects. As our company scales rapidly, you'll have the opportunity to grow and potentially take on leadership roles that shape our future.

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How does Parspec integrate machine learning into its product offerings?

Parspec integrates machine learning into its product offerings by utilizing AI-driven insights to enhance user experience in construction projects. As a Machine Learning Engineer, you will help develop systems that intelligently recommend products, optimize workflow, and streamline processes for our clients—making a significant impact on how construction products are sold.

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Can Machine Learning Engineers at Parspec work remotely?

Yes, Parspec offers a hybrid work setup, allowing Machine Learning Engineers to work flexibly. While we encourage collaboration in the office, our team also respects the need for a balanced work-life arrangement, enabling you to work remotely while contributing to your role effectively.

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Common Interview Questions for Machine Learning Engineer - 2
Can you explain a machine learning project you've worked on and your specific contributions?

When answering this question, discuss a project where you played a crucial role. Highlight your contributions in designing models, programming, and testing. Be specific about the challenges you faced and how you overcame them. This will showcase your hands-on experience and understanding of the machine learning lifecycle.

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How do you approach selecting a machine learning model for a specific project?

To choose the right machine learning model, assess the problem type (classification or regression), analyze the dataset characteristics (size, quality, and features), and consider the desired performance metrics. Outline your decision-making process, emphasizing the importance of experimentation and validation.

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What experience do you have with deep learning frameworks like TensorFlow or PyTorch?

Discuss specific projects where you utilized deep learning frameworks like TensorFlow or PyTorch. Detail the types of models built, any custom layers you created, and how you handled data preprocessing and augmentation. This illustrates your technical proficiency and capability to implement deep learning solutions.

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Can you describe your experience with deploying machine learning models to production?

Share your experience with deploying models, focusing on the tools and processes involved. Talk about how you monitored model performance post-deployment, handled model updates, and ensured quality control. This shows your understanding of the production lifecycle.

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How do you keep up with the latest developments in machine learning?

Explain the channels you use for staying updated, such as following key publications, participating in online communities, attending conferences, or engaging in courses. Emphasizing your commitment to continuous learning highlights your passion for the field.

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Describe a situation where your machine learning solution did not perform as expected. What did you do?

A great response would involve describing the scenario, the metrics that didn’t meet expectations, and the analysis you conducted to identify the issue. Discuss the steps taken to improve the model, showcasing your problem-solving skills and resilience.

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What is your experience with natural language processing?

Detail any projects involving NLP—mention specific techniques or models used, such as word embeddings, transformers, or sentiment analysis. Discuss what you learned from these experiences and how they shaped your understanding of NLP.

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Have you worked on any collaborative projects with cross-functional teams? What was your role?

Provide examples of cross-functional teamwork, including how you communicated with product managers, UX designers, and other engineers. Highlight your role in integrating AI components and ensuring alignment with business objectives. This shows your teamwork capabilities.

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What programming languages do you primarily use, and why?

Articulate your proficiency in key programming languages such as Python, noting why it's preferred for machine learning tasks due to its libraries and community support. Mention any other languages you know and how they contribute to your versatility as an engineer.

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Why do you want to work as a Machine Learning Engineer at Parspec?

Tailor your response to align with Parspec's mission of digital transformation in construction. Express enthusiasm for working in an innovative environment and contributing to meaningful projects that revolutionize an entire industry. This demonstrates your genuine interest.

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Parspec is transforming how $5 trillion in construction products are sold annually around the world by digitizing and structuring the industry’s product data. We are building a digital platform that helps buyers quickly identify the right products...

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Full-time, hybrid
DATE POSTED
November 28, 2024

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