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OUR DATA JOBS

Data Scientist

Amsterdam, Netherlands

Salary up to 84k + Benefits

Are you a data scientist with a passion for solving pricing and retail challenges? Look no further! Join this dynamic team and unlock a world of opportunities in the world of data-driven decision-making.

COMPANY

This company is a cutting-edge company at the forefront of the retail industry. They pride themselves on innovation, customer-centricity, and data-driven excellence. With a commitment to staying ahead of the curve, we are now seeking a talented Data Scientist to join our ranks and help us tackle pricing and retail problems head-on.

THE ROLE

As a Data Scientist at this company you will play a pivotal role in shaping pricing and retail strategies. You will have the opportunity to:

Analyze and model pricing data to optimize product pricing strategies.

️ Utilize customer data to enhance the retail shopping experience.

Develop predictive models to forecast demand and inventory needs.

Identify trends and insights that drive informed decision-making.

THE BENEFITS

What they Offer: When you join the team, you’ll enjoy:

A vibrant and inclusive work environment.

Access to cutting-edge tools and technologies.

Opportunities for professional growth and development.

Collaboration with a diverse and talented team of experts.

Competitive compensation and benefits packages.

YOUR SKILLS AND EXPEIRENCE:

To thrive in this role, you should have:

A degree in Data Science, Statistics, or a related field.

Strong analytical skills and a knack for problem-solving.

Proficiency in data manipulation, statistical modeling, and machine learning.

Experience with pricing OR retail data is a must

Excellent teamwork and communication skills.

Speech Recognition and Synthesis Engineer

Fully Remote

Full Time

$180,000 – $200,000

Overall, this role combines expertise in machine learning, NLP, audio processing, and software development to create and deploy speech-related technologies that bridge the gap between spoken language and text, providing valuable applications in various domains.

THE COMPANY

We are currently partnered with a leading tech company that is at the forefront of audio systems. This company partners with financial systems and providers, consumers, and insurers.

THE ROLE

• Develop, implement, and maintain speech recognition models and systems that can accurately convert spoken language into text. This involves using machine learning techniques like deep learning, recurrent neural networks (RNNs), and convolutional neural networks (CNNs).
• Collaborate with data scientists and speech data annotators to collect and preprocess large datasets of audio recordings and corresponding transcriptions.
• Fine-tune and optimize speech recognition models for different languages, accents, and dialects.
• Integrate the speech recognition system into applications, products, or services for various industries, such as transcription services, voice assistants, and automation.
• Develop and maintain text-to-speech synthesis models that can convert text into natural-sounding human speech.
• Utilize neural TTS architectures like Tacotron and WaveNet to generate high-quality speech audio.
• Customize TTS voices and styles to match the specific requirements of clients or applications.
• Ensure the produced synthetic voices are expressive, clear, and natural-sounding.
• Deploy speech recognition and TTS models into real-world applications or systems, such as voice assistants, IVR (Interactive Voice Response) systems, and transcription services.
• Optimize models for latency, accuracy, and resource efficiency to meet performance requirements.
• Troubleshoot and resolve any issues related to model deployment and integration.
• Stay up-to-date with the latest advancements in speech recognition and synthesis technologies.
• Collaborate with cross-functional teams to improve the overall user experience and functionality of voice-related applications.
• Conduct performance evaluations, collect user feedback, and make iterative improvements to the models.

YOUR SKILLS AND EXPERIENCE

A successful Senior Engineer within this role will likely have the following skills and experience:

• Bachelor’s or Master’s degree in computer science, electrical engineering, or a related field.
• Strong programming skills in languages such as Python, TensorFlow, PyTorch, or Keras.
• Proficiency in machine learning, deep learning, and natural language processing (NLP) techniques.
• Experience with speech recognition and synthesis libraries and tools.
• Knowledge of audio signal processing techniques is a plus.
• Strong problem-solving skills and attention to detail.
• Effective communication and teamwork skills.

HOW TO APPLY

Please register your interest by sending your resume via the Apply link on this page

Head of Product

Leiden, Netherlands

Salary up to 130k + Benefits

Are you a visionary product leader with a passion for transforming healthcare? Do you thrive on the opportunity to drive innovation and make a profound impact on people’s lives? If so, this could be the role for you!

THE COMPANY

This company is on a mission to revolutionize healthcare. They believe that technology has the power to enhance patient outcomes, improve healthcare delivery, and make the world a healthier place. As a dynamic and forward-thinking healthcare company, they are dedicated to creating innovative solutions that drive positive change in the industry.

THE ROLE

Role Overview: As the Head of Product, you will be the driving force behind the development and execution of our product strategy. You will lead a talented team of product managers, designers, and engineers to create groundbreaking healthcare solutions that address critical needs in the industry. This role is perfect for someone who is both a strategic thinker and a hands-on leader, capable of shaping the future of healthcare technology:

• Define and execute a product vision that aligns with our mission and long-term goals.
• Lead the product team, fostering a culture of innovation, collaboration, and excellence.
• Collaborate closely with cross-functional teams to ensure product development aligns with market needs and regulatory requirements.
• Conduct market research, gather user feedback, and stay informed about industry trends to inform product decisions.
• Drive the entire product development lifecycle, from ideation to launch and beyond.
• Develop and manage the product roadmap, prioritizing features and improvements to maximize impact.
• Build and maintain strong relationships with key stakeholders, including healthcare providers, partners, and customers.

YOUR SKILLS AND EXPERIENCE:

• 5+ years of experience in product management, with a proven track record of delivering successful healthcare products.
• Deep knowledge of the healthcare industry, including an understanding of regulatory requirements and emerging trends.
• Exceptional leadership skills, with the ability to inspire and mentor a team.
• Strong analytical and strategic thinking capabilities.
• Excellent communication and collaboration skills.
• A passion for improving healthcare and a commitment to making a positive difference in the world.

BENEFITS:

• Be part of a mission-driven team dedicated to transforming healthcare.
• Work in a collaborative and innovative environment where your ideas are valued.
• Competitive compensation and benefits package.
• Opportunities for professional growth and development.
• Make a real impact on people’s lives every day.

If you’re ready to lead the charge in revolutionizing healthcare through cutting-edge technology, we want to hear from you. Join us as our Head of Product and help shape the future of healthcare!

Director of Machine Learning Engineering – Healthcare

San Francisco Bay Area South Bay, CA $220,000 – $270,000 + Competitive Benefits

THE COMPANY

• COMPANY: An exciting start up in the healthcare space!
• TEAM: Join a team of data scientists, data engineers, and software engineers to work in healthcare tech and analytics!
• CULTURE: Casual work environment along with a diverse and inclusive culture

THE ROLE

As a lead data scientists you will…

• Lead engineers and other teams to create and innovate new solutions to transform the healthcare system
• Lead a technical data science team that works with EMR and EHR data to build end to end machine learning models using NLP, classification, and other deep learning techniques
• Lead and collaborate with software engineers and data engineers to deploy models into production

YOUR SKILLS AND EXPERIENCE

• 10+ years of full time experience, 4+ years in management
• Experience deploying machine learning and statistical models into real world applications and writing production level code
• Healthcare experience! Must have experience working with healthcare data (EMR or EHR data)
• Experience with NLP
• Tools: Python, SQL, Scala or Pyspark

THE BENEFITS

As a Director of Machine Learning Engineering – Healthcare, you can expect a base salary between $220,000 to $270,000 (based on experience) plus competitive benefits.

HOW TO APPLY

Please register your interest by sending your CV to Kristianna Chung via the Apply link on this page

VP of Generative AI

Hybrid – San Francisco Bay Area (Must be SF Bay Area resident – No relocation assistance offered)

$200,000-220,000 base salary + bonus + equity

THE COMPANY

This fast-growing start-up is using data science and AI to reshape healthcare delivery and outcomes. They’re looking for a VP of Generative AI who will shape the strategy for integrating generative models into healthcare solutions. In this role, you will be expected to be the key player in growing the AI unit as well as communicate regularly with clients, partners, and other pivotal stakeholders.

REQUIREMENTS

• Advanced degree in Computer Science, AI, Machine Learning, or another related field
• 10+ years of full-time industry experience and 5+ years of experience in a leadership position
• Expertise in AI/ML
• Extensive experience designing and deploying generative models
• Specialization in working with EHR workflows
• Experience developing products for health systems/integrated delivery networks
• Developed products made for physicians and patients
• Previous start-up experience

BENEFITS

As a VP of Generative AI, you can expect a base pay of $200,000-$220,000 + a bonus + equity.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

THE COMPANY

This advanced analytics company puts AI into use across the enterprise with enhanced analytics as they strive to help enterprises and governments make more intelligent and advanced business decisions. Their platform enables organizations to rapidly process complex data into multi-dimensional graph visualizations and predict future business outcomes with no-code AI modeling.

THE ROLE

You will get to work on projects such as forecasting, NLP, deep learning, computer vision, and more in a vast range of spaces like DoD, healthcare, IoT, finance, etc. You’ll also own projects end-to-end, from inception to deployment while working closely with the client.

YOUR SKILLS AND EXPERIENCE

To be a great addition to the team, you must have experience in the following:

• Must be able to obtain top secret security clearance if hired
• 4+ years of full-time industry data science experience
• Python, SQL, and the rest of the python data stack
• Git
• Full ML lifecycle- from inception to deployment
• Time Series or temporal data
• Detail-oriented
• Bachelors or Masters in Computer Science or Electrical Engineering

The company also desires…

• A generalist- they are only open to a specialist if you’re open to working on a wide range of problems
• Experience in: predictive maintenance, forecasting, time series, anomaly detection, segmentation, NLP

THE BENEFITS

As a Data Scientist/Senior Data Scientist, you can expect a salary between $150,000 to $180,000 (based on experience) plus competitive benefits.

HOW TO APPLY

Please register your interest by sending your CV to Mikayla Memoracion via the Apply link on this page.

Compiler Engineer (NPU) – Onsite, San Francisco Bay Area

The Company:

This start-up company is leading the charge in the exciting field of artificial intelligence. With a team of experts in computer science, electrical engineering, and AI research, they’re dedicated to developing innovative solutions to real-world problems.

Their most prominent and innovative product is a series of cutting-edge semiconductor chips that are specifically designed for machine learning and deep learning applications. These chips provide exceptional performance and efficiency and are used across multiple industries.

This company also prides itself in its mission to create a better future by applying AI and other tech to support humanity, with the goal of making it more sustainable and capable.

Responsibilities:

• Design/implement new compiler features for AI and ML applications
• NPU compiling (backend optimization)
• Optimize computation graphs
• DRAM, scratch pad memory management
• Support deep learning training and inference
• Optimize/improve existing compilers for use on AI-specific hardware
• Collaborate with chip designers and software engineers

To apply, you must have experience in the following:

• 10+ years of full-time compiler development experience
• 4+ years of experience with neural networks and NPU development
• Neural network training, inference, strong understanding utilization
• Understanding of computer architecture and optimization
• Understanding of AI-specific hardware, ex: semiconductor chips
• M.A. or Ph.D. in Computer Science or Computer Engineering

The Benefits:

As an NPU Compiler Engineer, you can expect a salary of $150,000-200,000 (based on experience) plus other competitive benefits

HOW TO APPLY:

Please register your interest by sending your CV to Mikayla Memoracion via the Apply link on this page.

The Company:

This start-up company is leading the charge in the exciting field of artificial intelligence. With a team of experts in computer science, electrical engineering, and AI research, they’re dedicated to developing innovative solutions to real-world problems.

Their most prominent and innovative product is a series of cutting-edge semiconductor chips that are specifically designed for machine learning and deep learning applications. These chips provide exceptional performance and efficiency and are used across multiple industries.

This company also prides itself in its mission to create a better future by applying AI and other tech to support humanity, with the goal of making it more sustainable and capable.

Responsibilities:

• Design/implement new compiler features for AI and ML applications
• NPU compiling (backend optimization)
• Optimize computation graphs
• DRAM, scratch pad memory management
• Support deep learning training and inference
• Optimize/improve existing compilers for use on AI-specific hardware
• Collaborate with chip designers and software engineers

To apply, you must have experience in the following:

• 10+ years of full-time compiler development experience
• 4+ years of experience with neural networks and NPU development
• Neural network training, inference, strong understanding utilization
• Understanding of computer architecture and optimization
• Understanding of AI-specific hardware, ex: semiconductor chips
• M.A. or Ph.D. in Computer Science or Computer Engineering

The Benefits:

As an NPU Compiler Engineer, you can expect a salary of $150,000-200,000 (based on experience) plus other competitive benefits

HOW TO APPLY:

Please register your interest by sending your CV to Mikayla Memoracion via the Apply link on this page.

Job Posting: VP of ML Engineering – Healthcare Startup

Location: Boston, Massachusetts (Hybrid ONLY, No sponsorship, No relocation)

Compensation: 220,000 – 240,000 Base + Bonus + Equity + Benefits

About Them:

The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.

Position Overview:

We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.

Key Responsibilities:

1. Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
2. Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
3. Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
4. Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
5. Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
6. Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.

Basic Qualifications:

1. Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
2. Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
3. Proven expertise in designing and deploying generative models (MUST HAVE)
4. Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
5. Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
6. Hands-on experience with integrated delivery networks (MUST HAVE)
7. A track record of developing products tailor-made for physicians and patients (MUST HAVE)

Preferred Qualifications:

1. Aptitude to articulate complex AI narratives to varied audiences.
2. Proficiency across diverse AI platforms and methodologies.
3. Recognized contributions or research publications in pertinent AI fields.

Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.

What We Offer:

1. A lucrative compensation structure, complemented by stock options.
2. Comprehensive health coverage.
3. A platform to pilot AI-centric revolutions in healthcare.
4. A work culture defined by inclusiveness, collaboration, and lifelong learning.
5. Opportunities for professional ascent and skill enhancement.

220,000 – 240,000 Base + Bonus + Equity + Benefits

Job Posting: VP of ML Engineering – Healthcare Startup

Location: Palo Alto, CA (Hybrid ONLY, No sponsorship, No relocation)

Compensation: 220,000 – 240,000 Base + Bonus + Equity + Benefits

About Them:

The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.

Position Overview:

We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.

Key Responsibilities:

1. Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
2. Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
3. Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
4. Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
5. Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
6. Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.

Basic Qualifications:

1. Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
2. Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
3. Proven expertise in designing and deploying generative models (MUST HAVE)
4. Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
5. Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
6. Hands-on experience with integrated delivery networks (MUST HAVE)
7. A track record of developing products tailor-made for physicians and patients (MUST HAVE)

Preferred Qualifications:

1. Aptitude to articulate complex AI narratives to varied audiences.
2. Proficiency across diverse AI platforms and methodologies.
3. Recognized contributions or research publications in pertinent AI fields.

Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.

What We Offer:

1. A lucrative compensation structure, complemented by stock options.
2. Comprehensive health coverage.
3. A platform to pilot AI-centric revolutions in healthcare.
4. A work culture defined by inclusiveness, collaboration, and lifelong learning.
5. Opportunities for professional ascent and skill enhancement.

220,000 – 240,000 Base + Bonus + Equity + Benefits

Job Posting: VP of Generative AI – Healthcare Startup

Location: Palo Alto, CA (Hybrid ONLY, No sponsorship, No relocation)

Compensation: 210,000 Base (minimum) + Bonus + Equity + Benefits

About Them:

The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.

Position Overview:

We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.

Key Responsibilities:

1. Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
2. Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
3. Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
4. Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
5. Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
6. Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.

Basic Qualifications:

1. Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
2. Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
3. Proven expertise in designing and deploying generative models (MUST HAVE)
4. Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
5. Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
6. Hands-on experience with integrated delivery networks (MUST HAVE)
7. A track record of developing products tailor-made for physicians and patients (MUST HAVE)

Preferred Qualifications:

1. Aptitude to articulate complex AI narratives to varied audiences.
2. Proficiency across diverse AI platforms and methodologies.
3. Recognized contributions or research publications in pertinent AI fields.

Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.

What We Offer:

1. A lucrative compensation structure, complemented by stock options.
2. Comprehensive health coverage.
3. A platform to pilot AI-centric revolutions in healthcare.
4. A work culture defined by inclusiveness, collaboration, and lifelong learning.
5. Opportunities for professional ascent and skill enhancement.

210,000 base (minimum) + bonus + equity + benefits