Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data, build ML models, and improve algorithms for email threat detection.
- Company: Join Proofpoint, a leader in human-centric cybersecurity protecting half a million customers worldwide.
- Benefits: Enjoy competitive pay, flexible work options, wellness days, and continuous learning opportunities.
- Why this job: Be part of a collaborative team tackling real-world problems with cutting-edge machine learning technology.
- Qualifications: Proficiency in Python, experience in NLP, and hands-on ML project contributions are essential.
- Other info: This is a hybrid role based in Cork or Belfast; diverse applicants are encouraged to apply.
The predicted salary is between 48000 - 84000 £ per year.
About Us:We are the leader in human-centric cybersecurity. Half a million customers including 87 of the Fortune 100 rely on Proofpoint to protect their organizations. Were driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.How We Work:At Proofpoint youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate Responsive to feedback challenges and opportunities Accountable for results and best-in-class outcomes Visionary in future-focused problem-solving Exceptional in execution and impact.Corporate OverviewProofpoint is a leading cybersecurity company protecting organizations greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions Proofpoint helps companies around the world stop targeted threats safeguard their data and make their users more resilient against cyber-attacks. Leading organizations of all sizes including more than half of the Fortune 1000 rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email the cloud social media and the web.We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. Thats why were a leader in next-generation cybersecurity.Protection Starts with People. Proofpoint.The Role Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business this role your key responsibility will be to analyse data build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. Youll be surrounded by incredibly smart talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed. *This is a Hybrid role; Cork or Belfast.Your day-to-day -Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark Iceberg Athena AWS SageMaker -Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns -Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers LLMs anomaly detection as well as classical ML models to solve a multifaceted problem -Engineer new features train and deploy models to production using AWS SageMaker as the MLOps platform -Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms -Promote and drive ML best practices and cultivate an environment of experimentation and learning -Stay up to date with the latest advancements in machine learning AI technologies and incorporate them into our solutions where applicable What you bring to the team Essential – Proficiency in Python with the ability to write clean well-structured and maintainable code for data analysis modeling and experimentation- Experience contributing to multiple highly impactful machine learning projects with proven results -Hands-on experience in the NLP domain involving training fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs generative AI is a plus) -Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch Tensorflow JAX) -A creative mindset propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Good to have -Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus -Experience working on large imbalanced datasets evaluating and selecting models that work well in production on imbalanced real-world dataWhy ProofpointProtecting people is at the heart of our award-winning lineup of cybersecurity solutions and the people who work here are the key to our success. Were a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive diverse multinational company that believes in culture fit but more importantly culture-add and we strongly encourage people from all walks of life to apply.We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint#LI-HybridWhy Proofpoint At Proofpoint we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons youll love working with us: Competitive compensation Comprehensive benefits Learning & Development: We are committed to the growth and development of our team members offering a range of programs including leadership and professional development workshops stretch project assignments and mentoring opportunities to help employees reach their full potential. Flexible work environment: Remote options hybrid schedules flexible hours etc.. Annual wellness and community outreach days Always on recognition for your contributions Global collaboration and networking opportunities Our Culture: Our culture is rooted in values that inspire belonging empower purpose and drive success-every day for everyone. We encourage applications from individuals of all backgrounds experiences and perspectives. If you need accommodation during the application or interview process please reach out to . How to Apply Interested Submit your application here We cant wait to hear from you! Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full-Time Experience: years Vacancy: 1
Machine Learning Scientist employer: Dr Jobs
Contact Detail:
Dr Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist
✨Tip Number 1
Familiarise yourself with the specific machine learning tools and technologies mentioned in the job description, such as Spark, AWS SageMaker, and transformer models. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Engage with the cybersecurity community by attending relevant meetups, webinars, or conferences. This not only helps you network but also keeps you updated on the latest trends and challenges in the field, which can be beneficial during interviews.
✨Tip Number 3
Prepare to discuss your previous machine learning projects in detail, especially those involving NLP and model performance monitoring. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked closely with product and engineering teams. Proofpoint values teamwork, so demonstrating your ability to work well with others will be a plus.
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly in NLP and model deployment. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cybersecurity and how your skills align with Proofpoint's mission. Mention specific projects where you've successfully applied machine learning techniques.
Showcase Your Projects: Include a portfolio or links to projects that showcase your experience with machine learning models, especially those involving transformer-based models and data analysis. This will give them a clear picture of your capabilities.
Highlight Collaboration Skills: Since the role involves working with Product and Engineering teams, emphasise your teamwork and communication skills. Provide examples of how you've collaborated on impactful projects in the past.
How to prepare for a job interview at Dr Jobs
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any machine learning frameworks you've used, such as PyTorch or TensorFlow. Bring examples of past projects where you applied these skills, especially in NLP and model deployment.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to tackle complex problems. Prepare to explain how you've approached challenges in previous roles, particularly those involving data analysis and algorithm improvement.
✨Familiarise Yourself with the Company’s Values
Proofpoint values boldness, responsiveness, accountability, vision, and exceptional execution. Think of examples from your experience that align with these values and be ready to share them during the interview.
✨Stay Updated on Industry Trends
Research the latest advancements in machine learning and cybersecurity. Being able to discuss current trends and how they might apply to Proofpoint's work will show your enthusiasm and commitment to the field.
