Senior DSP/ML Engineer

The Basics

• This is a full-time position.
• We’re prioritizing candidates based in the Greater Toronto area, and we’ll ask that you come to the office 2-3 times per week.
• We will share the salary range for this position during the intro call.
• The hiring manager for this position is Keshav Datta, Head of NMR/DSP/ML at Synex.

A note from the hiring manager:

Hello! My name is Keshav, and I’m looking for a person with technical breadth and passionate curiosity to join our research team. The right person for this role will have strong expertise in signal processing and deep learning.

If hired, you’ll work at the intersection of hardware and algorithms to develop advanced models and signal processing pipelines that extract meaningful data from complex in vivo NMR spectra. This will be a hands-on role where you'll contribute to all stages of signal acquisition, denoising, feature extraction, and predictive modeling.

You’ll have the chance to collaborate closely with our experts in NMR physics, DSP, AI, and biomedical engineering. If you’re looking for a role in which you can have a tangible impact while learning from intelligent, motivated colleagues, we’d love to hear from you!

In this role, we'll expect you to:

• Develop and apply advanced signal processing techniques (e.g., spectral denoising, artifact removal, deconvolution, filtering)
• Build and train deep learning models for signal reconstruction, biomarker quantification, and feature discovery from low-SNR spectra
• Analyze and interpret experimental NMR data from in vivo scans
• Work with experimentalists and engineers to improve SNR, robustness, and repeatability of measurements
• Assist in building data pipelines, model validation, and integrating algorithms into product workflows
• Stay up to date with literature in MRS, machine learning and signal processing for spectroscopy

You might be right for this role if you have:

• A PhD or Master’s with 3+ years of experience in signal processing/DL
• A strong background in digital signal processing (DSP): filtering, Fourier/Laplace transforms, spectral analysis
• Hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) applied to time-series, imaging, or spectroscopy
• Programming proficiency in Python and familiarity with scientific libraries (NumPy, SciPy, scikit-learn, etc.)
• A strong experimental and systematic mindset; comfort working with noisy biological data
• The ability to convey complex ideas clearly to both technical and non-technical audiences

About Synex Medical

At Synex, our work culture is defined by a blend of ambitious goals, intense passion for our mission, and a deep commitment to the well-being of our employees. We encourage our team to set ambitious goals and provide the autonomy needed to achieve them.

While achieving significant milestones can require extra effort and collaboration at times, we also prioritize rest and self-care to maintain our team’s well-being. Our policies and practices encourage taking time for personal and family commitments, ensuring that our employees can maintain a fulfilling life outside of work.

Developing strong social connections helps tie us together even when we are located in different places. Routinely, we meet in our regional offices for paid company lunches, learning sessions and social events.

Transparency and ethical standards are also foundational to how we operate. We collaborate with external partners from academia and industry to review and provide feedback on our work, ensuring scientific rigor and accountability. Internally, we promote psychological safety through regular check-ins with employees, anonymous surveys, and multiple avenues for reporting concerns, including an online reporting tool. These measures foster a supportive and open environment where employees feel safe to voice their concerns and contribute to the company’s success.

Benefits

Building towards a predictive healthcare future starts with our team. We are dedicated to offering a strong benefits package which will improve as Synex expands. We currently offer:

→ Health, Dental, and Vision Insurance: We cover 100% of the premiums for our employees. Coverage for partners and dependents varies based on location and plan.

→ Flexible Time Off: We don’t place annual limits on vacation and sick days, and we require that you take at least 3 weeks of vacation each year (not counting company holidays!).

→ Parental Leave: We provide 6 months of fully paid leave for all parents—whether you’re a birthing, non-birthing, or adoptive parent.

→ Professional Development: Invest in your growth with up to $1,500 annually for courses, certifications, or conferences.

→ Relocation Reimbursement: $5,000 for domestic moves, and $10,000 for international moves to Toronto

Equal Opportunity Statement

We believe that excellence isn't defined solely by qualifications, but also by the potential for growth and meaningful impact. Many highly capable individuals, especially those who identify as women or gender-nonconforming, may underestimate their abilities.

We encourage you to consider applying for this role if you believe you have the skills, experience, and passion to excel, even if you don't meet every single qualification. To assist you in this process, we recommend closely assessing your alignment with each job requirement rather than relying solely on your overall impression of the job. Your unique background, skills, and experiences could be a key to our success, so please don't let self-doubt hold you back.

And just to make it extra clear - we are an equal-opportunity employer. We value the collaboration of people with diverse ideas, experiences, and points of view. A diverse team makes Synex an exciting and creative place to work, and we welcome individuals from all walks of life.

All of our hiring choices are strictly based on business needs, job qualifications, and individual abilities, rather than any protected characteristics.

If you require accommodations for a disability during the interview process, please fill out our accommodations request form here. Your information will remain confidential and be used solely to determine appropriate accommodations for the interview process.