SPD Technology is a place where everyone knows how to develop awesome software, does that great, and wants to do that better. We write more than code, we create solutions with business needs in mind. We want to be a part of innovations. To make that, we’re ready to learn and gain new expertise.
22 жовтня 2024

Machine Learning Engineer (вакансія неактивна)

за кордоном, віддалено

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for an Machine Learning Engineer to join us as part of our team.

About the role

PitchBook’s Senior Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

1 EM, 2 Applied AI/Data Scientist, 2 ML Engineers, 1 MLOps Engineer

Work Environment

Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Work schedule: flexible with the requirement to attend all team meetings Working environment: The team will work on activities related to technical debt resolution and new features.

As a qualified expert, You will

  • Apply Natural Language Processing (NLP) and Machine Learning: Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision-making and insights.
  • Extract Insights from Textual Data: Analyze unstructured data such as articles and conversations to identify unique signals of private company performance, aiding market trend prediction.
  • Collaborate Efficiently: Partner with Product and Engineering teams to automate processes for large-scale data, improving data management and analysis.
  • Stay Informed and Lead: Stay updated on industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership.
  • Support Company Vision: Share our company’s values, fostering a positive work culture.
  • Participate in Initiatives: Engage in company projects to contribute to overall success.

We’re looking for you if you have

  • Bachelor’s/master’s degree in computer science, Machine Learning, Statistics, or related fields.
  • 2+ years of experience in a similar role in a production environment.
  • Experience in transformer-based language models Proficient in deep learning frameworks (i.e TensorFlow and PyTorch)
  • Demonstrated experience with natural language processing.
  • Demonstrated experience with Python or other object-oriented programming frameworks.
  • Demonstrated experience in using SQL for data extraction.
  • Strong communication and data presentation skills.
  • Strong problem-solving ability.
  • Ability to communicate complex analysis in a clear, precise, and actionable manner.
  • Experience working closely with software development team(s) is a plus.
  • Experience building scalable systems in production is a plus.
  • Knowledge of financial services, investment, banking, VC, and/or PE is desired but not required.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

  1. Pre-Screening with the recruiter.
  2. Tech screening (up to 30-40min).
  3. Team interview + Live Coding (up to 1,5 hour).
  4. Client interview + Live Coding (up to 1,5 hour).