Open Data Science job portal

Senior Software Engineer, AI Research 1249 views

This is a post on behalf of the AIPlus hiring partner.

Apply with Job ID # 100059

Our hiring partner puts real-time AI and public data to work for their clients, generating relevant and actionable alerts for global corporations, public sector agencies, newsrooms, and NGOs. Their leading AI platform detects the earliest signals of high-impact events and emerging risks from vast amounts of publicly available information. Their real-time alerts enable tens of thousands of users at hundreds of public and private sector organizations to learn first of breaking events around the world, develop effective risk mitigation strategies, and respond with confidence as crises unfold.

The company is making its mark for growth and innovation, recently earning recognition on the Deloitte Technology Fast 500, Forbes AI 50, and Forbes Cloud 100 lists. They also earned accolades for ‘Most Innovative Use of AI’ from the 2020 AI & Machine Learning Awards.

Join their team and help the world manage risk in real-time. You’ll work with 600+ talented people across seven offices, united by their passion to collaborate, make a difference, and have fun while doing it!

Who you are:

You’re an engineer who has a science background or has worked with scientists running experiments, implementing production quality state-of-the-art algorithms, and exploring large data sets. You are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and are a passionate builder of solutions that directly contribute to products. You want to advance the state of the art by working closely with scientists to implement novel approaches and have the skillset to develop engineering solutions to solve real problems in production, at scale.  You are excited by the opportunity and challenges posed by deploying AI at scale to track and understand events as they unfold.


  • Work as a liaison between the AI Group and engineering teams across the company in defining the right production delivery channels and processes for state-of-the-art algorithms and models (via APIs, libraries, etc.).
  • Building an innovative and AI-centric platform to run streaming analytics at scale, using your familiarity with cloud and open source orchestration technologies.
  • Optimizing Deep Learning models for production, maximizing execution speed, while minimizing compute cost.
  • Work directly on all aspects of science problems with other members of the AI team:  from inception, brainstorming, and reading of scientific literature, to data exploration and implementation of methods created in-house, and productization of these methods.
  • Work with the team in solving specific problems at scale in one or more of the following areas: Natural Language Processing, Information Retrieval, Complex Networks, Recommender Systems, Computer Vision, Machine/Deep Learning, etc.
  • Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
  • Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have a significant impact.

Minimum qualifications

  • M.S. in Computer science. Ph.D. studies in any field a plus.
  • Industry experience (5 or more years) as a Research/Machine Learning Engineer required.
  • Experience optimizing and launching Deep Learning models
  • Experience in one or several of the following areas: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Knowledge Representation and Management, etc.
  • Expertise in Python, Java, Scala, or similar languages.
  • Expertise with machine learning and deep learning tools (TensorFlow, PyTorch, Scikit-learn, etc.) for experimentation and deployment.
  • Experience working with scientists, reading technical research papers, and implementing state-of-the-art methods in production.

Desirable qualifications

  • Experience with Kubernetes, Kafka, Istio, Knative, Containers, FaaS

Why you should work here:

  • They recognize and reward hard work with:
    • company-paid benefits for employees and their dependents, including medical, dental, vision, disability, and life insurance
    • 401(k) savings plan with company matching
    • flexible spending account for out-of-pocket medical, transit, parking, and dependent care expenses
  • They want you to be your best, authentic self by supporting you with:
    • a diverse, driven, and passionate team of coworkers who want you to succeed
    • individual learning and development fund and professional training
    • generous paid time off; including sick leave and 100% company-paid parental leave
    • in-office perks such as a kitchen stocked with snacks and beverages, and catered meals
    • remote working friendly perks such as expanded telehealth options for mental and physical well being, virtual yoga, meditation, and health and fitness app reimbursements

…and this is just to name a few!

Our hiring partner is an equal opportunity and affirmative action employer. Individuals seeking employment are considered without regard to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status, or veteran status.

Apply with Job ID # 100059

More Information

Share this job
Company Information
Connect with us
Contact Us

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.

Contact Us